Parvin Asadzadeh, John Rooksby & Matthew Chalmers: Investigating how users engage with a pedometer app. Adj. Proceedings UbiComp'16 in Ubiquitous Mobile Instrumentation (UbiMI).
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.
Simon Klakegg, Chu Luo, Jorge Goncalves, Simo Hosio & Vassilis Kostakos: Instrumenting Smartphones with Portable NIRS. Adj. Proceedings UbiComp'16 in Ubiquitous Mobile Instrumentation (UbiMI).
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.
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).
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 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.
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).
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.
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).
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.
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).
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.
Ahsan Manzoor & Denzil Ferreira: Contact Lingo Keyboard. Adj. Proceedings UbiComp'16 in Ubiquitous Mobile Instrumentation (UbiMI).
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.
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).
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.
Wednesday, April 13, 2016
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.
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.
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.
All accepted papers will be included in the ACM Digital Library and the conference Adjunct Proceedings.
Submission deadline: June 7th, 2016 -> extended until June 9th!
Notification of acceptance: June 28th, 2016
Camera-ready: July 5th, 2016
Workshop venue: September 12th, 2016
Posted by UbiMI at 10:26 AM