Abstract

Utilizing mobile devices for gaining a better understanding of one’s surrounding, physiological state and overall behaviour has been argued for in many previous works. Despite the increasing usage of mobile devices for research in this space, few platforms developed are readily available for support

Highlights

  • The importance of mobile devices and their capabilities has long been recognized within research projects such as [1,2,3,4, 22] as well as commercial solutions such as [5,6]

  • What we argue for is the need for an open-source, widely available mobile sensing platform that is flexible enough to be used for various purposes, allows for both automatic and manual input and enables new applications but provides valuable support for user research

  • While the previous sections focused on highlighting certain aspects we consider essential in understanding our platform, we describe the experiments and experience we have had with using this platform within the lifestyle management setting

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Summary

Introduction *

The importance of mobile devices and their capabilities has long been recognized within research projects such as [1,2,3,4, 22] as well as commercial solutions such as [5,6]. The mobile software space has exploded as well, with applications created for any possible usages Such dramatic growth in mobile applications is driven by easier to use development tools as well as the support of an ecosystem provided by companies such as Apple or Google. Our motivation behind creating a mobile-based sensing platform and gateway started a long time ago, with a Symbian-based platform [2], when it became clear to us that mobiles will become more pervasive computing devices, with ever-increasing capabilities for collecting, processing and interacting with end users. Based on our work and experiments within the area of lifestyle management applications, we have continuously improved the platform to address requirements of such application area, including allowing end users to get more involved in collecting and interpreting information through their mobiles.

Scenarios and challenges
The AIRS platform
Main abstractions
Supported sensors
Storing and sharing
Addressing the battery consumption issue
User interactions in AIRS
Usage-based experiments and their challenges
From recording to understanding
From recording to controlling
Conclusions and future work
Full Text
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