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Poster: Understanding Mobile User Interactions with the IoT

Research output: Contribution in Book/Report/ProceedingsConference contribution

Published
Publication date30/06/2016
Host publicationMobiSys '16 Companion Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services Companion
Place of PublicationNew York
PublisherACM
Pages140-140
Number of pages1
ISBN (Print)9781450344166
<mark>Original language</mark>English
Event14th Annual International Conference on Mobile Systems, Applications, and Services (MobiSys) - Singapore, Singapore

Conference

Conference14th Annual International Conference on Mobile Systems, Applications, and Services (MobiSys)
CountrySingapore
CitySingapore
Period25/06/1630/06/16

Conference

Conference14th Annual International Conference on Mobile Systems, Applications, and Services (MobiSys)
CountrySingapore
CitySingapore
Period25/06/1630/06/16

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.