tag:blogger.com,1999:blog-72838795236368741662024-03-05T18:26:30.143+02:00UbiMI'17 - Ubiquitous Mobile Instrumentation4th International Workshop on Ubiquitous Mobile Instrumentation - Mobile devices as instruments to collect sensing data, to understand human-behaviour and routines, and to gather users’ context using sensor instrumentation.
Unknownnoreply@blogger.comBlogger15125tag:blogger.com,1999:blog-7283879523636874166.post-60149799101587473772017-08-18T12:38:00.002+03:002017-08-18T12:58:31.509+03:00Workshop Program<span style="font-family: "times" , "times new roman" , serif;">The UbiMI workshop will be organised during Monday 11th September. The venue is the same as the main UbiComp conference - <a href="https://www.grandwailea.com/" target="_blank">Grand Wailea Maui</a> - and the UbiMI workshop will be in the Pikake 3 meeting room. The program starts at 8:30am, and follows the proposed workshop program apart from the delayed lunch break.</span><br />
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<span style="font-family: "times" , "times new roman" , serif;">The detailed program is included below, please contact us if you are unavailable to present at designated time. Each work has 10 minutes reserved for the presentation, with 2 extra minutes for questions afterwards. Link to each paper included in the program.</span><br />
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<span style="font-family: "times" , "times new roman" , serif; font-size: large;">Program</span></h3>
<span style="font-family: "times" , "times new roman" , serif; vertical-align: baseline; white-space: pre-wrap;">8:30 - 8:35</span><span style="font-family: "times" , "times new roman" , serif; vertical-align: baseline; white-space: pre-wrap;"><span class="Apple-tab-span" style="white-space: pre;"> </span></span><span style="font-family: "times" , "times new roman" , serif; vertical-align: baseline; white-space: pre-wrap;">Opening words</span><br />
<div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="font-family: "times" , "times new roman" , serif;"><span style="background-color: transparent; font-style: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">8:35 - 10:00</span><span style="background-color: transparent; font-style: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"><span class="Apple-tab-span" style="white-space: pre;"> </span></span><span style="background-color: transparent; font-style: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Paper Session 1 (10 + 2 minute presentation)</span></span></div>
<ul style="margin-bottom: 0pt; margin-top: 0pt;">
<li dir="ltr" style="background-color: transparent; font-style: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; font-style: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"><span style="font-family: "times" , "times new roman" , serif;">8:35 Haladjian, Emis, Brügge, Plötz, Buschner: <a href="http://www.akuvisuri.com/wordpress/wp-content/uploads/2017/08/HipRapp_Haladjian.pdf" target="_blank">Supporting Rehabilitation After Hip Replacement with a Mobile Device Carried in a Pocket</a></span></span></div>
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<li dir="ltr" style="background-color: transparent; font-style: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; font-style: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"><span style="font-family: "times" , "times new roman" , serif;">8:50 Janko, Lustrek: <a href="http://www.akuvisuri.com/wordpress/wp-content/uploads/2017/08/Ubicomp-Vito.pdf" target="_blank">Energy-Efficient Data Collection for Context Recognition</a></span></span></div>
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<li dir="ltr" style="background-color: transparent; font-style: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; font-style: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"><span style="font-family: "times" , "times new roman" , serif;">9:05 Ferreira, Ferreira: <a href="http://www.akuvisuri.com/wordpress/wp-content/uploads/2017/08/Towards_Altruistic_Data_Quality_Assessment_for_Mobile_Sensing_Cam_Ready.pdf" target="_blank">Towards Altruistic Data Quality Assessment for Mobile Sensing</a></span></span></div>
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<li dir="ltr" style="background-color: transparent; font-style: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; font-style: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"><span style="font-family: "times" , "times new roman" , serif;">9:20 Castro, Gutierrez, Rodriguez, Ruiz: <a href="http://www.akuvisuri.com/wordpress/wp-content/uploads/2017/08/ubimi17_11.pdf" target="_blank">Towards Context of Quality in Mobile Sensing Campaigns</a></span></span></div>
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<li dir="ltr" style="background-color: transparent; font-style: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; font-style: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"><span style="font-family: "times" , "times new roman" , serif;">9:35 Luo, Koski, Korhonen, Goncalves, Anagnostopoulos, Konomi, Klakegg, Kostakos: <a href="http://www.akuvisuri.com/wordpress/wp-content/uploads/2017/08/NTP_2017_copyright.pdf" target="_blank">Rapid Clock Synchronisation for Ubiquitous Sensing Services Involving Multiple Smartphones</a></span></span></div>
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<li dir="ltr" style="background-color: transparent; font-style: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; font-style: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"><span style="font-family: "times" , "times new roman" , serif;">9:50 Zhao, Zhao, Zhao, Luo, Huang, Li, Pan: <a href="http://www.akuvisuri.com/wordpress/wp-content/uploads/2017/08/UbiMi-workshop_szhao_cmr.pdf" target="_blank">Characterizing a User from Large-scale Smartphone-sensed Data</a></span></span></div>
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</ul>
<div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="font-family: "times" , "times new roman" , serif;"><span style="background-color: transparent; font-style: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">10:00 - 10:30</span><span style="background-color: transparent; font-style: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"><span class="Apple-tab-span" style="white-space: pre;"> </span></span><span style="background-color: transparent; font-style: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Coffee break</span></span></div>
<div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="font-family: "times" , "times new roman" , serif;"><span style="background-color: transparent; font-style: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">10:30 - 12:15</span><span style="background-color: transparent; font-style: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"><span class="Apple-tab-span" style="white-space: pre;"> </span></span><span style="background-color: transparent; font-style: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Paper Session 2 (10 + 2 minute presentation)</span></span></div>
<ul style="margin-bottom: 0pt; margin-top: 0pt;">
<li dir="ltr" style="background-color: transparent; font-style: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; font-style: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"><span style="font-family: "times" , "times new roman" , serif;">10:30 Sharma, Lee: <a href="http://www.akuvisuri.com/wordpress/wp-content/uploads/2017/08/ubimi17_15.pdf" target="_blank">AudioSense - Sound Based Hand Trajectory Tracing System</a></span></span></div>
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<li dir="ltr" style="background-color: transparent; font-style: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; font-style: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"><span style="font-family: "times" , "times new roman" , serif;">10:45 Zarsenbayeva, Ferreira, van Berkel, Luo, Väisänen, Kostakos, Goncalves: <a href="http://www.akuvisuri.com/wordpress/wp-content/uploads/2017/08/workshop-vision-based-impirical-happiness.pdf" target="_blank">Vision-Based Happiness Inference: A Feasibility Case-Study</a></span></span></div>
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<li dir="ltr" style="background-color: transparent; list-style-type: disc; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; font-style: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"><span style="font-family: "times" , "times new roman" , serif;">11:00 Huttunen, Halonen, Koskimäki: </span></span><span style="font-family: "times" , "times new roman" , serif;"><span style="white-space: pre-wrap;"><a href="http://www.akuvisuri.com/wordpress/wp-content/uploads/2017/08/Huttunen-et-al.-Exploring-Use-of-Wearable-Sensors-to-Identify-Early-Symptoms-of-Migraine-Attack.pdf" target="_blank">Exploring Use of Wearable Sensors to Identify Early Symptoms of Migraine Attack</a> &</span></span><span style="font-family: "times" , "times new roman" , serif; white-space: pre-wrap;"> Koskimäki, Mönttinen, Siirtola, Huttunen, Halonen, Röning: </span><a href="http://www.akuvisuri.com/wordpress/wp-content/uploads/2017/08/Migraine_article_cameraready.pdf" style="font-family: times, "times new roman", serif; white-space: pre-wrap;" target="_blank">Early Detection of Migraine Attacks Based on Wearable Sensors - Experiences of Data Collection using Empatica E4</a><span style="font-family: "times" , "times new roman" , serif; white-space: pre-wrap;"> (joint presentation of both works)</span></div>
</li>
<li dir="ltr" style="background-color: transparent; font-style: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; font-style: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"><span style="font-family: "times" , "times new roman" , serif;">11:25 Koskimäki, Siirtola, Keskitalo, Luovinen, Luoto, Ahola, Korpelainen, Jämsä, Röning: <a href="http://www.akuvisuri.com/wordpress/wp-content/uploads/2017/08/Computer_game_wearable_sensors_article_camera_ready.pdf" target="_blank">Computer Game and Wearable Sensors Based Approach to Promote Physical Activity for Young Men</a></span></span></div>
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<li dir="ltr" style="background-color: transparent; font-style: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; font-style: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"><span style="font-family: "times" , "times new roman" , serif;">11:40 Purta, Striegel: <a href="http://www.akuvisuri.com/wordpress/wp-content/uploads/2017/08/UbiMi2017Workshop_camera.pdf" target="_blank">Estimating Dining Hall Usage Using Bluetooth Low Energy Beacons</a></span></span></div>
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<li dir="ltr" style="background-color: transparent; font-style: normal; font-weight: 400; list-style-type: disc; text-decoration: none; vertical-align: baseline;"><div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: transparent; font-style: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"><span style="font-family: "times" , "times new roman" , serif;">11:55 Patil, Gao, Li, Jin: <a href="http://www.akuvisuri.com/wordpress/wp-content/uploads/2017/08/ubimi17-cambp-camera.pdf" target="_blank">CamBP: A Camera-Based, Non-Contact Blood Pressure Monitor</a></span></span></div>
</li>
</ul>
<div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="font-family: "times" , "times new roman" , serif;"><span style="background-color: transparent; font-style: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">12:10 - 13:45</span><span style="background-color: transparent; font-style: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"><span class="Apple-tab-span" style="white-space: pre;"> Lunch</span></span><span style="background-color: transparent; font-style: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"> break</span></span></div>
<div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="font-family: "times" , "times new roman" , serif;"><span style="background-color: transparent; font-style: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">13:45 - 15:00</span><span style="background-color: transparent; font-style: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"><span class="Apple-tab-span" style="white-space: pre;"> </span></span><span style="background-color: transparent; font-style: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Group work</span></span></div>
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<span style="font-family: "times" , "times new roman" , serif;"><span style="background-color: transparent; font-style: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">15:00 - 15:30</span><span style="background-color: transparent; font-style: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"><span class="Apple-tab-span" style="white-space: pre;"> </span></span><span style="background-color: transparent; font-style: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Coffee break</span></span></div>
<div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="font-family: "times" , "times new roman" , serif;"><span style="background-color: transparent; font-style: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">15:30 - 16:00</span><span style="background-color: transparent; font-style: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"><span class="Apple-tab-span" style="white-space: pre;"> </span></span><span style="background-color: transparent; font-style: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Group work</span></span></div>
<div dir="ltr" style="line-height: 1.38; margin-bottom: 0pt; margin-top: 0pt;">
<span style="font-family: "times" , "times new roman" , serif;"><span style="background-color: transparent; font-style: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">16:00 - 17:00</span><span style="background-color: transparent; font-style: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"><span class="Apple-tab-span" style="white-space: pre;"> </span></span><span style="background-color: transparent; font-style: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Discussion</span></span></div>
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<span style="background-color: transparent; font-style: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"><span style="font-family: "times" , "times new roman" , serif;">17:30 - Workshop dinner</span></span></div>
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<span style="background-color: transparent; color: black; font-family: "arial"; font-size: 11pt; font-style: normal; font-variant: normal; font-weight: 400; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"><br /></span></div>
Anonymoushttp://www.blogger.com/profile/11635100841650228564noreply@blogger.com0tag:blogger.com,1999:blog-7283879523636874166.post-36606895435135808072017-04-24T10:38:00.000+03:002017-06-08T17:24:14.333+03:00Welcome to UbiMI'17Mobile devices are inherently personal and contain the potential to sense the user’s environment, or in other words the user’s context. Mobile and wearable devices can collect an uninterrupted stream of health-related information, user’s activities, location, and other highly personal information. This information can be beneficial to both end-users and researchers. Mobile devices have several built-in sensors (e.g., accelerometer, proximity sensor, gyroscope). These mobile sensors are primarily used by the mobile operating system to enhance the user experience, such as app functionality or mobile device user interaction (e.g., vibration feedback, screen orientation detection), but they are increasingly being leveraged by applications to obtain and offer valuable information about the user’s activities. The field of quantified-self, especially, is interested in obtaining and investigating this type of information harvested from end-users’ devices.<br />
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The convenience and availability of mobile devices and app stores make it easier for a researcher to reach thousands of study participants whether they wish to investigate information, information collection methods, or simply collect data from study participants.<br />
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In this workshop, we bring together researchers who take advantage of the proliferation of mobile devices, use them as instruments for research on ubiquitous computing, or study how end-users interact with their devices. We also investigate new and existing methods for collecting instrumented data. We are especially interested in the mobile devices, systems, applications, methods and tools that were built to collect and explore such rich datasets. More so, we want researchers to share their experiences, successes and frustrations on conducting research and analysing information from such power and processing constrained devices in order to capture state-of-the-art on theories, models, methodologies, and tools that cope with these challenges.<br />
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All accepted papers will be included in the ACM Digital Library and the conference Adjunct Proceedings. The workshop is co-organized with the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2017).<br />
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Submissions are non-anonymised.<br />
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8/6/2017: Due to numerous questions regarding the submission deadline, we have decided that all submissions until June 14th 24:00 (any timezone) are accepted.<br />
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Important dates</h4>
<b>Submission deadline:</b> June 14th 24:00 (any timezone)<br />
<b>Notification of acceptance:</b> June 30th<br />
<b>Camera-ready:</b> July 14th<br />
<b>Workshop date and venue:</b> September 11th or 12th, 2017, Venue TBDAnonymoushttp://www.blogger.com/profile/11635100841650228564noreply@blogger.com0tag:blogger.com,1999:blog-7283879523636874166.post-54496669691447220542016-07-07T14:54:00.002+03:002017-01-17T10:08:39.061+02:00UbiMI'16 Accepted Papers<b>Parvin Asadzadeh, John Rooksby & Matthew Chalmers: Investigating how users engage with a pedometer app. Adj. Proceedings UbiComp'16 in Ubiquitous Mobile Instrumentation (UbiMI).</b><br />
<i>Abstract: Mobile application usage data has been investigated by many researchers to explore reasoning about users’ contexts and their routines. A large number of early studies in this area provide relatively simple analyses, and some more recent works look more deeply at the patterns of logged events. This paper explains a new work on the analysis of interaction logs collected from a pedometer-based mobile app to extract different usage patterns of the app.</i><br />
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<b>Simon Klakegg, Chu Luo, Jorge Goncalves, Simo Hosio & Vassilis Kostakos: Instrumenting Smartphones with Portable NIRS. Adj. Proceedings UbiComp'16 in Ubiquitous Mobile Instrumentation (UbiMI).</b><br />
<i>Abstract: In this paper we propose a mobile sensing solution that uses Near Infrared Spectroscopy (NIRS) and discuss its potential in future everyday use cases. The proposed design enables novice end users to classify various objects using NIRS and without prior knowledge of the technology itself. We describe how an instrument that traditionally has been used solely by trained lab personnel, can be commoditised to be used by any end user with a mobile device. The preliminary results indicate that samples can be identified with high accuracy, but that a series of implementation and design challenges must be first accounted for.</i><br />
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<b>Ionut Andone, Konrad Błaszkiewicz, Mark Eibes, Boris Trendafilov, Christian Montag & Alexander Markowetz: Menthal: A Framework for Mobile Data Collection and Analysis. Adj. Proceedings UbiComp'16 in Ubiquitous Mobile Instrumentation (UbiMI).</b><br />
<i>Abstract: We present a framework for collecting and analyzing mobile users’ data. We have built our own framework in order to fulfill specific tracking requirements such as app usage and affect/mood recording. We incentivize the users to share their data through giving feedback. The UX and the inter- face are primary concerns in our Android app. To be able </i><i>to process large amounts of data we developed our analysis platform using a modern big data stack. The framework has been deployed in a large scale longitudinal experiment since January 2014. It has attracted more than 400,000 app installs and more than 350,000 registered participants.</i><br />
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<b>Iqbal H. Sarker, Alan Colman, Muhammad Ashad Kabir & Jun Han: Phone Call Log as a Context Source to Modeling Individual User Behavior. Adj. Proceedings UbiComp'16 in Ubiquitous Mobile Instrumentation (UbiMI).</b><br />
<i>Abstract: Mobile phones can record various types of context data related to a user's phone call activities in its call log. In this paper, we present an approach to modeling call response behavior for individual mobile users utilizing phone call log, based on the temporal context in which a user accepts, rejects or misses a call. Its main objective is to assist developers to building automated behavior-oriented call interruption management system for the benefit of end users. Experiments on real datasets show that our approach produces behavioral rules that capture the user's dominant call response behavior at various times of the day and days of the week.</i><br />
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<b>Alexandre De Masi, Matteo Ciman, Mattia Gustarini & Katarzyna Wac: mQoL Smart Lab: Quality of Life Living Lab for Interdisciplinary Experiments. Adj. Proceedings UbiComp'16 in Ubiquitous Mobile Instrumentation (UbiMI).</b><br />
<i>Abstract: As a base for hypothesis formulation and testing, accurate, timely and reproducible data collection is a challenge for all researchers. Data collection is especially challenging in uncontrolled environments, outside of the lab and when it involves many collaborating disciplines, where the data must serve quality research in all of them. In this paper, we present own “mQoL Smart Lab” for interdisciplinary research efforts on individuals’ “Quality of Life” improvement. We present an evolution of our current in-house living lab platform enabling continuous, pervasive data collection from individuals’ smartphones. We discuss opportunities for mQoL stemming from developments in machine learning and big data for advanced data analytics in different disciplines, better meeting the requirements put on the platform.</i><br />
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<b>Daniela Escobar, María Prato, Javier Bustos-Jimenez & Andrés Lucero: Mobile Information Visualisation Design of the Adkintun Mobile App. Adj. Proceedings UbiComp'16 in Ubiquitous Mobile Instrumentation (UbiMI).</b><br />
<i>Abstract: Mobile devices are becoming increasingly more powerful, offering new possibilities to collect, process, show, and interact with information visualization data directly on them. Despite the appearance of a plethora of mobile apps with clever InfoVis designs, particularly in the area of personal visualization (e.g., fitness, energy), surprisingly little research has been conducted on information visualization on mobile devices. In this paper, we explore information visualization on mobile devices by presenting a first design iteration and an initial evaluation of the Adkintun Mobile app, which measures the quality of service (QoS) of mobile Internet connections. Based on our findings, strategies to both assist people in making sense of data and designers in creating effective visualizations for mobiles are discussed.</i><br />
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<b>Ahsan Manzoor & Denzil Ferreira: Contact Lingo Keyboard. Adj. Proceedings UbiComp'16 in Ubiquitous Mobile Instrumentation (UbiMI).</b><br />
<i>Abstract: With the rapid increase in usage of portable smart devices in recent years, the need for suitable text input methods for these devices has also increased. Currently virtual keyboards are the most used solution and are included in virtually every smart device with a touch screen. Due to differences in languages, many languages require their own virtual keyboard layouts. However, changing between languages when messaging people with varying languages can be troublesome, especially for users with multinational contacts, which is not uncommon in today's world. In this paper, we introduce Contact Lingo Keyboard to provide an automatic solution to change the layout of a virtual keyboard based on the contact. Contact Lingo Keyboard keeps track of languages used with different contacts and automatically changes the layout based on chat history, freeing the user from the need to manually toggle between languages.</i><br />
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<b>Niels van Berkel, Sergei Kopytin, Simo Hosio, Jonna Malmberg, Hanna Järvenoja & Vassilis Kostakos: Measuring Group Dynamics in an Elementary School Setting Using Mobile Devices. Adj. Proceedings UbiComp'16 in Ubiquitous Mobile Instrumentation (UbiMI).</b><br />
<i>Abstract: Mobile instrumentation provides researchers and professionals the opportunity to collect data on several aspects of human life. In this paper we discuss our initial experiences on collecting data via mobile instrumentation in an elementary school. We augmented a classroom with mobile phones and Bluetooth beacons to capture student experiences as well as their relative distance to each other during a collaborative group project. We describe the study, and present lessons learned when instrumenting such a unique school setting with young participants.</i>Unknownnoreply@blogger.comtag:blogger.com,1999:blog-7283879523636874166.post-26166199723494742872016-04-13T10:26:00.001+03:002016-09-07T14:51:19.977+03:00Welcome to UbiMI'16<div class="separator" style="clear: both; text-align: left; width: 626px;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEggkyR3_Ak8sLicscIIcQaoo452P2CNn4TyE6WVBJw8vubQRJh2afeBm8Lze9gsqAA1VZzffquRG0ONKDAvKvygXhUjpo39wqALxZFFgtyYL-2WOFn13jfAkVKS8bwvq6DiNYFfmLHbKfk/s1600/header.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em; text-align: center;"><img alt="" border="0" height="115" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEggkyR3_Ak8sLicscIIcQaoo452P2CNn4TyE6WVBJw8vubQRJh2afeBm8Lze9gsqAA1VZzffquRG0ONKDAvKvygXhUjpo39wqALxZFFgtyYL-2WOFn13jfAkVKS8bwvq6DiNYFfmLHbKfk/s400/header.png" title="Disappearing mobile" width="400" /></a></div>
<div style="text-align: justify;">
<br />
Thanks to the rapid development of mobile technologies, smartphones allow people to be reachable anywhere and anytime. In addition to the benefits for end users, researchers and developers can also benefit from the powerful devices that participants potentially carry on a daily basis. This mini-track workshop brings together researchers with an interest on using mobile devices as instruments to collect data and conduct mobile user studies, with a focus on understanding human-behavior, routines and gathering context.</div>
<div style="text-align: justify;">
<br /></div>
<div>
<div style="text-align: justify;">
Recruiting a large number of participants for user studies in HCI has been challenging (i.e., participation compensation, location and time differences, etc.). Techniques such as surveys and questionnaires for data collection have taken a new form in recent years, where “in the field” has been replaced with “online”; and automated logging devices have augmented diaries, video recorders and cameras (e.g., Microsoft’s SenseCam, Nokia’s LifeBlog). This shift represents a new trend in research methods, whereby mobile devices are used to collect data on participants and their behaviors.</div>
<div style="text-align: justify;">
<br /></div>
<div style="text-align: justify;">
In this workshop, we bring together researchers who take advantage of the proliferation of mobile devices and use them as instruments for research on ubiquitous computing. We are especially interested in the mobile devices, systems, applications, methods and tools that were built to explore such rich datasets. More so, we want researchers to share their experiences, successes and frustrations on conducting research in such power and processing constrained devices in order to capture a state-of-art on theories, models, methodologies and tools that cope with these challenges.</div>
<br />
All accepted papers will be included in the ACM Digital Library and the conference Adjunct Proceedings.<br />
<br />
<b>Important dates</b><br />
Submission deadline: June 7th, 2016 -> extended until <b>June 9th</b>!<br />
Notification of acceptance: June 28th, 2016<br />
Camera-ready: July 5th, 2016<br />
Workshop venue: September 12th, 2016<br />
<div style="text-align: justify;">
</div>
</div>
Unknownnoreply@blogger.comtag:blogger.com,1999:blog-7283879523636874166.post-20578844301759463662013-09-09T18:44:00.000+03:002016-04-13T10:21:29.307+03:00UbiMI'13 summary<h2>Workshop Videos</h2><div>Keynote and Q&A session</div><div><video controls="controls" height="360" poster="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEguwEDoCsyN3MziRLQZiHlY5SYbNNYhRwhyphenhyphensdqWTazirH60E8aumPXsLXPfERmanwcgOuiISF9ywPugrLSua8kbVfkVO_8IZt3inHsaRpLx9B0hdW7U_VVNNxTobk4fRMxtCgGKQpWjQWE/s1600/ubimi.png" width="640"><br />
<source src="http://www.denzilferreira.com/UbiMI/2013/UbiMI2013-keynote.m4v" type="video/mp4"></source><br />
</video></div><h2>Workshop papers</h2><div><div><a href="http://www.denzilferreira.com/UbiMI/2013/p1409.pdf" target="_blank">Ferreira, D.; Koehler, C.; Karapanos, E.; Kostakos, V. (2013): Ubiquitous Mobile Instrumentation. Adj. Proc. UbiComp'13: 1409–1412.</a></div><div><br />
</div><div><a href="http://www.denzilferreira.com/UbiMI/2013/p1413.pdf" target="_blank">Marshall, J. (2013): Smartphone Sensing for Distributed Swim Stroke Coaching and Research. Adj. Proc. UbiComp'13: 1413–1416.</a></div></div><div><br />
</div><div><a href="http://www.denzilferreira.com/UbiMI/2013/p1417.pdf" target="_blank">Gamecho, B.; Gardeazabal, L.; Abascal, J. (2013): Combination and Abstraction of Sensors for Mobile Context-Awareness. Adj. Proc. UbiComp'13: 1417–1422.</a></div><div><br />
</div><div><a href="http://www.denzilferreira.com/UbiMI/2013/p1423.pdf" target="_blank">Böhmer, M.; Lander, C.; Krüger, A. (2013): What's in the Apps for Context? Extending a Sensor for Studying App Usage to Informing Context-awareness. Adj. Proc. UbiComp'13: 1423–1426.</a></div><div><br />
</div><div><a href="http://www.denzilferreira.com/UbiMI/2013/p1427.pdf" target="_blank">Ustev, Y.E.; Incel, O.D.; Ersoy, C. (2013): User, Device and Orientation Independent Human Activity Recognition on Mobile Phones: Challenges and a Proposal. Adj. Proc. UbiComp'13: 1427–1435.</a></div><div><br />
</div><div><a href="http://www.denzilferreira.com/UbiMI/2013/p1437.pdf" target="_blank">Besaleva, L.I.; Weaver, A.C. (2013): CrowdHelp: Application for Improved Emergency Response Through Crowdsourced Information. Adj. Proc. UbiComp'13: 1437–1445.</a></div><div><br />
</div><div><a href="http://www.denzilferreira.com/UbiMI/2013/p1447.pdf" target="_blank">Gustarini, M.; Ickin, S.; Wac, K. (2013): Evaluation of Challenges in Human Subject Studies "In-the-Wild" Using Subjects' Personal Smartphones. Adj. Proc. UbiComp'13: 1447–1456.</a></div><div><br />
</div><div><a href="http://www.denzilferreira.com/UbiMI/2013/p1457.pdf" target="_blank">Bustos-Jiménez, J.; Del Canto, G.; Pereira, S.; Lalanne, F.; Piquer, J.; Hourton, G.; Cádiz, A.; Ramiro, V. (2013): How AdkintunMobile Measured the World. Adj. Proc. UbiComp'13: 1457–1461.</a></div><div><h2>Workshop: code + slides</h2>AWARE-activity recognition application:<br />
<a href="http://www.awareframework.com/workshop/ubisports.zip">http://www.awareframework.com/workshop/ubisports.zip</a><br />
<br />
Supporting slides:<br />
<a href="http://www.awareframework.com/workshop/slides.pdf">http://www.awareframework.com/workshop/slides.pdf</a></div>Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-7283879523636874166.post-53797738043157224202013-08-02T14:18:00.002+03:002016-04-13T10:21:29.313+03:00UbiMI'13 Schedule<div><div style="text-align: justify;">Dear authors and participants,</div><div style="text-align: justify;"><br />
</div><div style="text-align: justify;">Here is the schedule for this year's edition of UbiMI'13 Ubiquitous Mobile Instrumentation. The workshop will be located at: <b>ETH Zentrum - CAB G 52</b></div><div style="text-align: justify;"><br />
</div><div style="text-align: justify;">We look forward to meet you and see you at UbiComp'13!</div><div style="text-align: justify;"><br />
</div><div style="text-align: justify;">The UbiMI organizers,</div><span style="text-align: justify;"><b><br />
</b></span> <span style="text-align: justify;"><b>Please note</b>: Each author will present his workshop paper (up to 10 minutes), followed by a short (5 minutes) discussion.</span><br />
<h3 style="text-align: justify;">September 8</h3><div><br />
</div><b>Session 1</b><br />
9-9:30 Prof. Vassilis Kostakos - Mobile Instrumentation in Academia</div><div>9:30-10 Dr. Jonna Häkkilä - Mobile Instrumentation in Industry</div><div>10-10:30 Q&A with keynote speakers<br />
<br />
<b>Session 2</b><br />
11-11:15 Marshall, J.<br />
Smartphone Sensing for Distributed Swim Stroke Coaching and Research</div><div>11:15-11:30 Üstev, Y.E., Ersoy, C. and Incel, O.D.<br />
User, Device and Orientation Independent Human Activity Recognition on Mobile Phones: Challenges and a Proposal</div><div>11:30-11:45 Gamecho, B., Gardeazabal, L. and Abascal, J.<br />
Combination and Abstraction of Sensors for Mobile Context-Awareness</div><div>11:45-12 Böhmer, M., Lander, C. and Krüger, A.<br />
What's in the Apps for Context? Extending a Sensor for Studying App Usage to Informing Context-awareness</div><div>12-12:15 Bustos-Jiménez, J., Del Canto, G., Pereira, S., Lalanne, F., Piquer, J., Hourton, G., Cádiz, A. and Ramiro, V.<br />
How AdkintunMobile Measured the World</div><div>12:15-12:30 Besaleva, L.I. and Weaver, A.C.<br />
CrowdHelp: Application for Improved Emergency Response through Crowdsourced Information</div><div><b><br />
</b> <b>Session 3 </b><br />
14:00-14:15 Gustarini, M., Ickin, S. and Wac, K.<br />
Evaluation of Challenges in Human Subjects Studies "In-the-Wild" Using Subjects' Personal Smartphones</div><div>14:15-15:00 Q&A discussion amongst participants</div><div>15-15:30 AWARE: Introduction<br />
<br />
<b>Session 4</b><br />
16-16:30 AWARE: Demo<br />
16:30-18 AWARE: downloading, installing, setting up!</div><div><div style="text-align: justify;"><br />
<h3>September 9</h3><div><br />
</div><div><div class="p1"><b>Session 1</b></div><div class="p1">9-10:30<span class="Apple-tab-span"> </span>AWARE: building blocks.</div><div class="p2"><br />
</div><div class="p1"><b>Session 2</b></div><div class="p1">11-12:30<span class="Apple-tab-span"> </span>AWARE: create, use, and reuse a Context Sensor / Plugin</div><div class="p2"><br />
</div><div class="p1"><b>Session 3</b></div><div class="p1">14-15:30<span class="Apple-tab-span"> </span>AWARE: create, use, and reuse a Context Provider</div><div class="p2"><br />
</div><div class="p1"><b>Session 4</b></div><div class="p1">16-18<span class="Apple-tab-span"> </span>AWARE Q&A and wrap-up.</div></div></div></div>Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-7283879523636874166.post-12331500532458234852013-06-11T14:17:00.000+03:002016-04-13T10:21:29.304+03:00UbiMI'13 Papers accepted<div style="text-align: justify;"><b>Marshall, J. Smartphone Sensing for Distributed Swim Stroke Coaching and Research. In Adj. Proc. UbiComp'13, Ubiquitous Mobile Instrumentation (UbiMI'13)</b><br />
<div><span style="font-weight: normal;"><i>Abstract</i>: </span>Current methods of swim stroke learning rely on a combination of external observation by coaches and repetitive drills performed by swimmers. At elite levels, these may be augmented using complex and expensive augmented pool environments and video analysis, but these are not available to most non-professionals. In this paper, I argue that with the wide range of sensors and outputs on a current smartphone, and existing sports-targeted waterproofing, commodity mobile hardware may allow even un-coached amateur swimmers to access timely feedback on their stroke and to improve their swimming. An early prototype of a swim-sensing system demonstrates the potential of mobiles to sense aspects of the swimming stroke. By using commodity hardware it is open to many potential learners, who may in turn provide high quality data to feed back into the development of swim coaching techniques by sports researchers and practitioners.<br />
<br />
</div><div><b>Gamecho, B., Gardeazabal, L. and Abascal, J. Combination and Abstraction of Sensors for Mobile Context-Awareness. In Adj. Proc. UbiComp'13, Ubiquitous Mobile Instrumentation (UbiMI'13)</b><br />
<div><i>Abstract</i>: In this paper, we describe a context server application for mobile computing. Its main objective is to assist developers to exploit context-aware features in their applications. This approach uses the extraction of new context information using a combination of sensors and proposes a sensing abstraction layer to avoid having to deal with specific hardware.<br />
<br />
</div></div><div><b>Böhmer, M., Lander, C. and Krüger, A. What's in the Apps for Context? Extending a Sensor for Studying App Usage to Informing Context-awareness. In Adj. Proc. UbiComp'13, Ubiquitous Mobile Instrumentation (UbiMI'13)</b><br />
<div><i>Abstract</i>: Mobile phones became multi-purpose devices supporting their users with large variety of applications for various tasks. Not only the number of available applications is increasing, also the number of applications people are using on their devices is growing, as well as the amount of time people spent on their smartphones daily is getting bigger. In this workshop paper, we briefly describe our past work on understanding mobile application usage. We explain our research tool for measuring mobile application usage, called AppSensor, and discuss possibilities to exploit the information of mobile application usage to inform the reasoning about users’ contexts. We contribute our source code to the workshop for a discussion and prototyping of use cases leveraging the information of which application a user is currently using.<br />
<br />
</div></div><div><b>Üstev, Y.E., Ersoy, C. and Incel, O.D. User, Device and Orientation Independent Human Activity Recognition on Mobile Phones: Challenges and a Proposal. In Adj. Proc. UbiComp'13, Ubiquitous Mobile Instrumentation (UbiMI'13)</b><br />
<div><i>Abstract</i>: Smart phones equipped with a rich set of sensors are explored as alternative platforms for human activity recognition in the ubiquitous computing domain. However, there exist challenges that should be tackled before the successful acceptance of such systems by the masses. In this paper, we particularly focus on the challenges arising from the differences in user behavior and in the hardware. To investigate the impact of these factors on the recognition accuracy, we performed tests with 20 different users focusing on the recognition of basic locomotion activities using the accelerometer, gyroscope and magnetic field sensors. We investigated the effect of feature types, to represent the raw data, and the use of linear acceleration for user, device and orientation-independent activity recognition.<br />
<br />
</div></div><div><b>Besaleva, L.I. and Weaver, A.C. CrowdHelp: Application for Improved Emergency Response through Crowdsourced Information. In Adj. Proc. UbiComp'13, Ubiquitous Mobile Instrumentation (UbiMI'13)</b><br />
<div><i>Abstract</i>: Emergency resources are often insufficient to satisfy fully the demands for professional help and supplies after a public disaster. Furthermore, in a mass casualty situation, the emphasis shifts from ensuring the best possible outcome for each individual patient to ensuring the best possible outcome for the greatest number of patients. In the past several years, an ongoing movement among crisis management organizations is the incorporation of ubiquitous Web 2.0 tools into their practices for the improvement of their critical situations response. In unison with this trend and the latest discoveries in crowdsourcing, we have developed a system, called CrowdHelp, for real time patient assessment which uses mobile electronic triaging accomplished via crowdsourced and sensor-detected information. With the use of our system, emergency management professionals receive most of the information they need for preparing themselves to perform a timely and accurate treatment of their patients even before dispatching a response team to the event.<br />
<br />
</div></div><div><b>Gustarini, M., Ickin, S. and Wac, K. Evaluation of Challenges in Human Subjects Studies "In-the-Wild" Using Subjects' Personal Smartphones. In Adj. Proc. UbiComp'13, Ubiquitous Mobile Instrumentation (UbiMI'13)</b><br />
<div><i>Abstract</i>: The experimental setting of Human Mobile Computer Interaction (HCI) studies is moving from the controlled laboratory to the user’s daily-life environments, while employing the users’ own smartphones. These studies are challenging for both new and expert researchers in human subject studies in the HCI field. Within the last three years, we conducted three different smartphone- based user studies. From these studies, we have derived key challenges that we successfully overcame during their execution. In this paper, we present the outcomes and explain the adopted solutions for the challenges identified in the design, development and execution, and data analysis phases during the user studies. Our goal is to give newcomers and junior researchers a practical view on our conducted studies, and help practitioners to reflect on their own studies and possibly apply the proposed solutions.<br />
<br />
</div></div><div><b>Bustos-Jiménez, J., Del Canto, G., Pereira, S., Lalanne, F., Piquer, J., Hourton, G., Cádiz, A. and Ramiro, V. How AdkintunMobile Measured the World. In Adj. Proc. UbiComp'13, Ubiquitous Mobile Instrumentation (UbiMI'13)</b><br />
<div><i>Abstract</i>: On this article we present the Adkintun Mobile Project: using passive monitors to measure the Quality of Service of Chilean Mobile Internet Providers, based on the metrics of antenna coverage and Internet connectivity. We present the main ideas, design decisions, development issues and setbacks of the project. Our contribution is to present to the readers the whole process of a project like this, which is based in volunteering and political decisions.</div></div></div>Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-7283879523636874166.post-4120657225427216762013-03-21T11:59:00.003+02:002016-04-13T10:21:29.310+03:00Welcome to UbiMI'13!<div class="separator" style="clear: both; text-align: left; width: 626px"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEggkyR3_Ak8sLicscIIcQaoo452P2CNn4TyE6WVBJw8vubQRJh2afeBm8Lze9gsqAA1VZzffquRG0ONKDAvKvygXhUjpo39wqALxZFFgtyYL-2WOFn13jfAkVKS8bwvq6DiNYFfmLHbKfk/s1600/header.png" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img alt="" border="0" height="180px" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEggkyR3_Ak8sLicscIIcQaoo452P2CNn4TyE6WVBJw8vubQRJh2afeBm8Lze9gsqAA1VZzffquRG0ONKDAvKvygXhUjpo39wqALxZFFgtyYL-2WOFn13jfAkVKS8bwvq6DiNYFfmLHbKfk/s1600/header.png" title="Disappearing mobile" width="626px" /></a></div><div style="text-align: justify;">Thanks to the rapid development of mobile technologies, smartphones allow people to be reachable anywhere and anytime. In addition to the benefits for end users, researchers and developers can also benefit from the powerful devices that participants potentially carry on a daily basis. This mini-track workshop brings together researchers with an interest on using mobile devices as instruments to collect data and conduct mobile user studies, with a focus on understanding human-behavior, routines and gathering context.</div><div style="text-align: justify;"><br />
</div><div><div style="text-align: justify;">Recruiting a large number of participants for user studies in HCI has been challenging (i.e., participation compensation, location and time differences, etc.). Techniques such as surveys and questionnaires for data collection have taken a new form in recent years, where “in the field” has been replaced with “online”; and automated logging devices have augmented diaries, video recorders and cameras (e.g., Microsoft’s SenseCam, Nokia’s LifeBlog). This shift represents a new trend in research methods, whereby mobile devices are used to collect data on participants and their behaviors.</div><div style="text-align: justify;"><br />
</div><div style="text-align: justify;">In this workshop, we bring together researchers who take advantage of the proliferation of mobile devices and use them as instruments for research on ubiquitous computing. We are especially interested in the mobile devices, systems, applications, methods and tools that were built to explore such rich datasets. More so, we want researchers to share their experiences, successes and frustrations on conducting research in such power and processing constrained devices in order to capture a state-of-art on theories, models, methodologies and tools that cope with these challenges.</div><br />
<div style="text-align: justify;"></div></div>Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-7283879523636874166.post-30773691345773438032012-09-14T09:42:00.002+03:002013-03-20T15:24:19.568+02:00Papers & Presentations at UbiMI 2012<span style="font-family: Arial, Helvetica, sans-serif;">The organisers would like to thank all the workshop participants for their attendance at UbiMI 2012 edition. Furthermore, we would also like to thank the program committee for their hard work and efficiency when reviewing the submitted papers!</span><br />
<span style="font-family: Arial, Helvetica, sans-serif;"><br /></span>
<span style="font-family: Arial, Helvetica, sans-serif;">Great job and see you next year!</span><br />
<span style="font-family: Arial, Helvetica, sans-serif;"><br /></span>
<br />
<div style="background-color: white; color: #666666; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; line-height: 18px; text-align: justify;">
<b>Ubiquitous Inference of Mobility State of Human Custodian in People-Centric Context Sensing</b><br />
<i>Authors: Mattia Gustarini; Katarzyna Wac</i></div>
<div style="background-color: white; color: #666666; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; line-height: 18px; text-align: justify;">
<b>Paper</b>: <a href="http://www.denzilferreira.com/UbiMI/2012/UbiMI2012-gustarini-paper.pdf">http://www.denzilferreira.com/UbiMI/2012/UbiMI2012-gustarini-paper.pdf</a></div>
<div style="background-color: white; color: #666666; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; line-height: 18px; text-align: justify;">
<b>Presentation</b>: <a href="http://www.denzilferreira.com/UbiMI/2012/UbiMI2012-gustarini-presentation.pdf">http://www.denzilferreira.com/UbiMI/2012/UbiMI2012-gustarini-presentation.pdf</a></div>
<div style="background-color: white; color: #666666; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; line-height: 18px; text-align: justify;">
<br /></div>
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<div>
<b>Multimodal Annotation Tool for Challenging Behaviors in People with Autism Spectrum Disorders</b><br />
<i>Authors: Akane Sano; Javier Hernandez; Jean Deprey; Micah Eckhardt; Matthew S. Goodwin; Rosalind W. Picard</i></div>
<div>
<b>Paper</b>: <a href="http://www.denzilferreira.com/UbiMI/2012/UbiMI2012-hernandez-paper.pdf">http://www.denzilferreira.com/UbiMI/2012/UbiMI2012-hernandez-paper.pdf</a></div>
<div>
<b>Presentation</b>: <a href="http://www.denzilferreira.com/UbiMI/2012/UbiMI2012-hernandez-presentation.pptx">http://www.denzilferreira.com/UbiMI/2012/UbiMI2012-hernandez-presentation.pptx</a></div>
<div>
<br /></div>
<div>
<div>
<b>A Preliminary Study of Sensing Appliance Usage for Human Activity Recognition Using Mobile Magnetometer</b><br />
<i>Authors: Mi Zhang; Alexander A. Sawchuk</i></div>
<div>
<b>Paper</b>: <a href="http://www.denzilferreira.com/UbiMI/2012/UbiMI2012-mizhang-paper.pdf">http://www.denzilferreira.com/UbiMI/2012/UbiMI2012-mizhang-paper.pdf</a></div>
</div>
<div>
<b>Presentation</b>: <a href="http://www.denzilferreira.com/UbiMI/2012/UbiMI2012-mizhang-presentation.pptx">http://www.denzilferreira.com/UbiMI/2012/UbiMI2012-mizhang-presentation.pptx</a></div>
<div>
<br /></div>
<div>
<div>
<b>Context-Aware Mobile Crowdsourcing</b><br />
<i>Authors: Andrei Tamilin; Iacopo Carreras; Emmanuel Ssebaggala; Alfonse Opira; Nicola Conci</i></div>
<div>
<b>Paper</b>: <a href="http://www.denzilferreira.com/UbiMI/2012/UbiMI2012-carreras-paper.pdf">http://www.denzilferreira.com/UbiMI/2012/UbiMI2012-carreras-paper.pdf</a></div>
</div>
<div>
<b>Presentation</b>: <a href="http://www.denzilferreira.com/UbiMI/2012/UbiMI2012-carreras-presentation.pptx">http://www.denzilferreira.com/UbiMI/2012/UbiMI2012-carreras-presentation.pptx</a></div>
<div>
<br /></div>
<div>
<div>
<b>On the Challenges of Building a Web-based Ubiquitous Application Platform</b><br />
<i>Authors: Heiko Desruelle; John Lyle; Simon Isenberg; Frank Gielen</i></div>
<div>
<b>Paper</b>: <a href="http://www.denzilferreira.com/UbiMI/2012/UbiMI2012-desruelle-paper.pdf">http://www.denzilferreira.com/UbiMI/2012/UbiMI2012-desruelle-paper.pdf</a></div>
</div>
<div>
<b>Presentation</b>: <a href="http://www.denzilferreira.com/UbiMI/2012/UbiMI2012-desruelle-presentation.pptx">http://www.denzilferreira.com/UbiMI/2012/UbiMI2012-desruelle-presentation.pptx</a></div>
<div>
<br /></div>
<div>
<div>
<b>Using Ontologies to Reduce User Intervention to Deploy Sensing Campaigns with the InCense Toolkit</b><br />
<i>Authors: Marcela D. Rodríguez; Roberto Martínez; Moisés Pérez; Luis A. Castro; Jesus Favela</i></div>
<div>
<b>Paper</b>: <a href="http://www.denzilferreira.com/UbiMI/2012/UbiMI2012-rodriguez-paper.pdf">http://www.denzilferreira.com/UbiMI/2012/UbiMI2012-rodriguez-paper.pdf</a></div>
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<b>Presentation</b>: <a href="http://www.denzilferreira.com/UbiMI/2012/UbiMI2012-rodriguez-presentation.pptx">http://www.denzilferreira.com/UbiMI/2012/UbiMI2012-rodriguez-presentation.pptx</a></div>
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<b>Engaging participants for collaborative sensing of human mobility</b><br />
<i>Authors: Helena Rodrigues; Maria João Nicolau; Rui João José; Adriano Moreira</i></div>
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<b>Paper</b>: <a href="http://www.denzilferreira.com/UbiMI/2012/UbiMI2012-rodrigues-paper.pdf">http://www.denzilferreira.com/UbiMI/2012/UbiMI2012-rodrigues-paper.pdf</a></div>
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<b>Presentation</b>: <a href="http://www.denzilferreira.com/UbiMI/2012/UbiMI2012-rodrigues-presentation.pptx">http://www.denzilferreira.com/UbiMI/2012/UbiMI2012-rodrigues-presentation.pptx</a></div>
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<b>A Comparison of Alternative Client/Server Architectures for Ubiquitous Mobile Sensor-Based Applications</b><br />
<i>Authors: Gary M. Weiss; Jeffrey W. Lockhart</i></div>
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<b>Paper</b>: <a href="http://www.denzilferreira.com/UbiMI/2012/UbiMI2012-weiss-paper.pdf">http://www.denzilferreira.com/UbiMI/2012/UbiMI2012-weiss-paper.pdf</a></div>
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<b>Presentation</b>: <a href="http://www.denzilferreira.com/UbiMI/2012/UbiMI2012-weiss-presentation.pptx">http://www.denzilferreira.com/UbiMI/2012/UbiMI2012-weiss-presentation.pptx</a></div>
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Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-7283879523636874166.post-87663905302753736142012-07-31T13:49:00.003+03:002013-03-20T15:24:19.575+02:00UbiMI 2012 accepted papers and workshop schedule<br />
<b><span style="font-size: x-large;">Papers accepted for UbiMI 2012</span></b><br />
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<b>Gustarini, M.; Wac, K.: <i>Ubiquitous Inference of Mobility State of Human Custodian in People-Centric Context Sensing.</i></b></div>
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<b>Abstract: </b>People-centric sensing using people’s smartphones offers new research opportunities for large case studies. It presents many challenges, e.g., efficient capture of person’s mobility, understanding of context changes and preservation of user privacy. We propose an accurate and energy-efficient method able to capture user’s mobility, thus the context changes, while preserving his/her privacy. Our solution can be applied to systems that aim to efficiently sense context on smartphones to study large scale phenomena or perform location management.</div>
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<b>Sano, A. <i>et al.</i>: <i>Multimodal Annotation Tool for Challenging Behaviors in People with Autism Spectrum Disorders</i>.</b></div>
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<b>Abstract: </b>Individuals diagnosed with Autism Spectrum Disorders (ASD) often have challenging behaviors (CB’s), such as self-injury or emotional outbursts, which can negatively impact the quality of life of themselves and those around them. Recent advances in mobile and ubiquitous technologies provide an opportunity to efficiently and accurately capture important information preceding and associated with these CB’s. The ability to obtain this type of data will help with both intervention and behavioral phenotyping efforts. Through collaboration with behavioral scientists and therapists, we identified relevant design requirements and created an easy-to-use mobile application for collecting, labeling, and sharing in-situ behavior data in individuals diagnosed with ASD. Furthermore, we have released the application to the community as an open- source project so it can be validated and extended by other researchers.</div>
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<b>Zhang, M.; Sawchuk, A.: <i>A Preliminary Study of Sensing Appliance Usage for Human Activity Recognition Using Mobile Magnetometer.</i></b></div>
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<b>Abstract: </b>Human activity recognition and human behavior understanding play a central role in the field of ubiquitous computing. In this paper, we propose a novel method using magnetometer embedded in the mobile phone to recognize activities by detecting household appliance usage. The key idea of our approach is that when the mobile phone user performs a certain activity at home, the embedded magnetometer is capable of capturing the changes of the magnetic field strength around the mobile phone caused by the household appliance in operation. Our mobile application uses these changes as magnetic signatures for each of these appliance such that the daily household activities associated with these appliance such as cooking can be recognized.</div>
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<b>Tamilin, A. <i>et al.</i>: <i>Context-Aware Mobile Crowdsourcing</i>.</b></div>
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<b>Abstract: </b>Ubiquity of internet-connected media- and sensor-equipped portable devices has emerged a range of opportunities for direct involvement of citizens into public decision making, leading to a new participatory format of public administration functioning. Intersecting the power of the crowdsourcing problem-solving paradigm by directly relying on human intelligence, with instantaneity and situation-awareness of mobile technologies, one gets a context-aware crowdsourcing approach for problem-solving in the right circumstances with the right people. In this paper, we present a prototype implementation of a context-aware mobile crowdsourcing system that enables the deployment and execution of crowd- sourcing campaigns with users carrying mobile devices.The system is designed to maximize conditions for user participation, while minimizing the usage of energy. The paper describes the system architecture, defines an optimized sampling algorithm, and outlines a preliminary experimentation study carried out.</div>
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<b>Desruelle, H. <i>et al.</i>: <i>On the Challenges of Building a Web-based Ubiquitous Application Platform.</i></b></div>
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<b>Abstract: </b>People use an increasing number of consumer electronic de- vices to access their mobile apps. To enhance the applications’ immersive user experience, these devices often ex- pose APIs for accessing a wide array of sensors and domain- specific capabilities. Existing mobile application environments, however, only provide limited support for cross-device access of such APIs. To address this limitation, the Webinos platform was designed. Webinos is a virtualized Web-based application platform, aiming to support the collaboration of multiple devices within a single mobile application. In this paper we elaborate on the Webinos platform design. We dis- cuss the encountered design challenges regarding portability, scalability, and privacy, and how these were mitigated.</div>
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<b>Rodríguez, M. <i>et al.</i>: <i>Using Ontologies to Reduce User Intervention to Deploy Sensing Campaigns with the InCense Toolkit</i>.</b></div>
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<b>Abstract: </b>This paper presents the InCense research toolkit to facilitate researchers with little or no technical background to implement a sensing application for mobile phones. To reach this end, InCense provides a GUI and an interactive ontology to enable users to define the configuration of the sensing application, i.e. what sensing components to add, and the flow of the sensing session. We illustrate the ease of use of the InCense platform through a scenario in which both opportunistic and participatory sensing paradigms are used.</div>
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<b>Rodrigues, H.<i> et al.</i>: <i>Engaging participants for collaborative sensing of human mobility.</i></b></div>
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<b>Abstract: </b>Human mobility has been widely studied for a variety of purposes, from urban planning to the study of spread of diseases. These studies depend heavily on large datasets, and recent advances in collaborative sensing and WiFi infrastructures have created new opportunities for generating that data. However, these methods and procedures require the participation of a significant community of users through extended periods of time. In this paper, we address the problem of how to engage people to participate in the data collection process. We have conducted a user study on the utilisation of a mobile collaborative sensing application. We have found that users react positively to campaigns, but it is difficult to keep them participating for long periods of time. We also hypothesise that one must close the loop, rewarding the participants with services based on the collected data, eventually showing that there is added value obtainable from crowd sourcing.</div>
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<b>Weiss, G.; Lockhart, J.: <i>A Comparison of Alternative Client/Server Architectures for Ubiquitous Mobile Sensor-Based Applications.</i></b></div>
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<b>Abstract: </b>Mobile devices such as smart phones, tablet computers, and music players are ubiquitous. These devices typically contain many sensors, such as vision sensors (cameras), audio sensors (microphones), acceleration sensors (accelerometers) and location sensors (e.g., GPS), and also have some capability to send and receive data wirelessly. Sensor arrays on these mobile devices make innovative applications possible, especially when data mining is applied to the sensor data. But a key design decision is how best to distribute the responsibilities between the client (e.g., smartphone) and any servers. In this paper we investigate alternative architectures, ranging from a “dumb” client, where virtually all processing takes place on the server, to a “smart” client, where no server is needed. We describe the advantages and disadvantages of these alternative architectures and describe under what circumstances each is most appropriate. We use our own WISDM (WIreless Sensor Data Mining) architecture to pro- vide concrete examples of the various alternatives.<br />
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<b><span style="font-size: x-large;">Schedule</span></b><br />
<b>9 - 9:15am</b> - Gustarini, M.; Wac, K.: <i>Ubiquitous Inference of Mobility State of Human Custodian in People-Centric Context Sensing.</i><br />
<b>9:15 - 9:30am</b> - Sano, A. <i>et al.</i>: <i>Multimodal Annotation Tool for Challenging Behaviors in People with Autism Spectrum Disorders</i>.<br />
<b>9:30 - 9:45am</b> - Zhang, M.; Sawchuk, A.: <i>A Preliminary Study of Sensing Appliance Usage for Human Activity Recognition Using Mobile Magnetometer.</i><br />
<b>9:45 - 10:00am</b> - Tamilin, A. <i>et al.</i>: <i>Context-Aware Mobile Crowdsourcing</i>.<br />
<b>10 - 11am</b> - <b>COFFEE BREAK </b><br />
<b>11 - 11:15am</b> - Desruelle, H. <i>et al.</i>: <i>On the Challenges of Building a Web-based Ubiquitous Application Platform.</i><br />
<b>11:15 - 11:30am</b> - Rodríguez, M. <i>et al.</i>: <i>Using Ontologies to Reduce User Intervention to Deploy Sensing Campaigns with the InCense Toolkit</i>.<br />
<b>11:30 - 11:45am</b> - Rodrigues, H.<i> et al.</i>: <i>Engaging participants for collaborative sensing of human mobility.</i><br />
<b>11:45 - 12pm</b> - Weiss, G.; Lockhart, J.: <i>A Comparison of Alternative Client/Server Architectures for Ubiquitous Mobile Sensor-Based Applications.</i><br />
<b>12 - 1:30pm</b> - <b>LUNCH</b><br />
<b>1:30 - 2pm</b> - Organizers' presentation and discussion panel kick-off<br />
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<b>2 - 2:55pm</b> - Discussion panel<br />
<b>2:55 - 3pm</b> - Workshop wrap-up<br />
<b>3 - 3:30pm</b> - <b>WRAP-UP COFFEE</b>Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-7283879523636874166.post-78266936356940467972012-07-01T14:44:00.002+03:002013-03-20T15:24:19.573+02:00Workshop registration<b>Last minute but important information!</b><br />
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In order to register to attend this workshop, you will need the following code: W04-UBMI<br />
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Thank you!Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-7283879523636874166.post-68435378503018005142012-06-26T13:19:00.002+03:002013-03-20T15:24:19.571+02:00Acceptance notifications sent!We apologize for the delay on the notification emails. We just sent the acceptance/rejection notification emails to all the authors, so please do check your inboxes!<br />
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For all the authors, we hope the reviews will provide you with valuable input and feedback on your research paper, regardless of if it was accepted for this years' UbiMI 2012 workshop.<br />
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<b>The revised and camera-ready version of the papers are due 15th July, 2012 (23h59 GMT+3h)</b>. This is a tight deadline, as we need to prepare the workshop papers' bundle for the Ubicomp conference workshop chairs for inclusion on the supplemental proceedings.<br />
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Furthermore, for the workshop itself, authors are required to present their work in a 7 minute presentation, to be followed with a short discussion. As such, authors are required to submit the presentation in .pdf format for inclusion on the UbiMI 2012 website for future reference. The<b> deadline for the workshop presentation is the 1st September, 2012 (23h59 GMT+3h)</b>.<br />
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Once again, thank you for your submissions and hard work,<br />
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UbiMI organizersUnknownnoreply@blogger.com0tag:blogger.com,1999:blog-7283879523636874166.post-43836837158995812012012-06-09T12:02:00.002+03:002013-03-20T15:24:19.569+02:00Well done!Thank you for the amazing papers you submitted!<br />
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We will get back to you with the reviews on your papers by 25th June, 2012 23h59 GMT+2. You'll then have a period of time to address the reviewers comments and submit the camera ready version of the paper by 1st July, 2012 23h59 GMT+2.<br />
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Once again, thank you for your submissions!<br />
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UbiMI organizersUnknownnoreply@blogger.com0tag:blogger.com,1999:blog-7283879523636874166.post-68524557578337048792012-06-01T10:47:00.000+03:002013-03-20T15:24:19.572+02:00Almost there!Submissions are flowing in, great work! We look forward to read them all!<br />
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Due to numerous requests, we have decided to <b>extend the deadline to the 8th June, 2012 at 23h59 (GMT +2)</b>.Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-7283879523636874166.post-39065566014345756912012-04-04T12:38:00.003+03:002013-03-20T15:23:21.660+02:00Welcome to UbiMI'12!<div class="separator" style="clear: both; text-align: center;">
<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhk3YYNeFuyzmsgrLOzxr1OpAu9t2onJF2plt4IqP8pEZegHKAxx26ByK8yvginblFHtLamCr2szB3fV_LmxmL1WUAKSPrd3-Z7FMWRRkl9GfkhLEqReR4AF1QVJrrgckk_AnkJQUlHhi0/s1600/nokia-morph.jpeg" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhk3YYNeFuyzmsgrLOzxr1OpAu9t2onJF2plt4IqP8pEZegHKAxx26ByK8yvginblFHtLamCr2szB3fV_LmxmL1WUAKSPrd3-Z7FMWRRkl9GfkhLEqReR4AF1QVJrrgckk_AnkJQUlHhi0/s1600/nokia-morph.jpeg" /></a></div>
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Thanks to the rapid development of mobile technologies, smartphones allow people to be reachable anywhere and anytime. In addition to the benefits for end users, researchers and developers can also benefit from the powerful devices that participants potentially carry on a daily basis. This mini-track workshop brings together researchers with an interest on using mobile devices as instruments to collect data and conduct mobile user studies, with a focus on understanding human-behavior, routines and gathering context.</div>
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Recruiting a large number of participants for user studies in HCI has been challenging (i.e., participation compensation, location and time differences, etc.). Techniques such as surveys and questionnaires for data collection have taken a new form in recent years, where “in the field” has been replaced with “online”; and automated logging devices have augmented diaries, video recorders and cameras (e.g., Microsoft’s SenseCam, Nokia’s LifeBlog). This shift represents a new trend in research methods, whereby mobile devices are used to collect data on participants and their behaviors.</div>
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In this workshop, we bring together researchers who take advantage of the proliferation of mobile devices and use them as instruments for research on ubiquitous computing. We are especially interested in the mobile devices, systems, applications, methods and tools that were built to explore such rich datasets. More so, we want researchers to share their experiences, successes and frustrations on conducting research in such power and processing constrained devices in order to capture a state-of-art on theories, models, methodologies and tools that cope with these challenges.</div>
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