Mobile devices (smartphones, smartwatches, etc.) allow us to reach people anywhere, anytime. Collectively, these devices form a ubiquitous computer that offers valuable insights on the user. In addition to the benefits for researchers and developers, explored in previous UbiMI workshops, devices can also help individuals understand their own health, activities, and behaviour. The Ubiquitous Mobile Instrumentation (UbiMI) workshop focuses on using mobile devices as instruments to collect sensing data, to understand human-behaviour and routines, and to gather users’ context using sensor instrumentation.
Topics of interest
Instrumenting mobile devices needs to be addressed as a research community effort. In this workshop, we expect to harvest experiences, challenges and recommendations on:
- Devices and techniques: design, architecture, usage and evaluation of mobile devices and techniques that create valuable new capabilities for ubiquitous computing;
- Systems and infrastructures: design, architecture, usage and evaluation of mobile systems and infrastructures that support ubiquitous computing;
- Applications: design and/or study of how mobile applications can leverage other ubiquitous devices, systems and applications;
- Methodologies and tools: new methods and tools that are applied on studies or building novel mobile ubiquitous systems and applications;
- Theories and models: critical analysis or organizing theory with relevance to the design or study of mobile ubiquitous systems;
- Experiences: empirical investigations of the use of new or existing mobile technologies that can potentially motivate future mobile ubiquitous systems.
Goals and expected audience
The end result is a better understanding of the current state-of-the-art in mobile devices instrumentation and how it affects future mobile ubiquitous systems and applications. A future journal article depicting the workshops’ findings and rules of thumb will further highlight the importance of mobile devices instrumentation. After all, mobile devices are the widest distributed sensor-enabled devices.
All accepted papers will be included into the ACM Digital Library and the conference Adjunct Proceedings.
Paper format is 6 pages (inc. references) in the ACM Extended Abstract template.
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