ABSTRACT
The increasing reach of the Internet of Things (IoT) is leading to a world rich in sensors [3] that can be used to support physical analytics -- analogous to web analytics but targeted at user interactions with physical devices in the real-world (e.g. [2]). In contrast to web analytics, physical analytics systems typically only provide data relating to sensors and objects without consideration of individual users. This is mainly a consequence of an inability to track individual mobile user interactions across multiple physical objects (or across sessions of interaction with a single object) using, for example, an analogue of a web cookie. Indeed, such a "physical analytics cookie" could raise significant privacy concerns.
However, in many cases a more "human-centric" approach to analytics would enable us to provide new and interesting insights into interactions between mobile users and the physical world [1]. In our work we endeavour to leverage synthetic user traces of human mobility, and data from real IoT systems, to provide such insights.
- Lee, Y., and Balan, R. K. The case for human-centric personal analytics. In Proceedings of WPA'14 (New York, NY, USA, 2014), pp. 25--29. Google ScholarDigital Library
- Mikusz, M., Clinch, S., Jones, R., Harding, M., Winstanley, C., and Davies, N. Repurposing web analytics to support the IoT. Computer 48, 9 (Sept 2015), 42--49.Google Scholar
- Want, R., Schilit, B. N., and Jenson, S. Enabling the internet of things. Computer 48, 1 (Jan 2015), 28--35.Google ScholarCross Ref
Index Terms
- Poster: Understanding Mobile User Interactions with the IoT
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