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Poster: Understanding Mobile User Interactions with the IoT

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

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Poster: Understanding Mobile User Interactions with the IoT. / Mikusz, Mateusz; Bates, Oliver; Clinch, Sarah; Davies, Nigel; Friday, Adrian; Noulas, Anastasios.

MobiSys '16 Companion Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services Companion. New York : ACM, 2016. p. 140-140.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

Harvard

Mikusz, M, Bates, O, Clinch, S, Davies, N, Friday, A & Noulas, A 2016, Poster: Understanding Mobile User Interactions with the IoT. in MobiSys '16 Companion Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services Companion. ACM, New York, pp. 140-140, 14th Annual International Conference on Mobile Systems, Applications, and Services (MobiSys), Singapore, Singapore, 25/06/16. https://doi.org/10.1145/2938559.2938607

APA

Mikusz, M., Bates, O., Clinch, S., Davies, N., Friday, A., & Noulas, A. (2016). Poster: Understanding Mobile User Interactions with the IoT. In MobiSys '16 Companion Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services Companion (pp. 140-140). ACM. https://doi.org/10.1145/2938559.2938607

Vancouver

Mikusz M, Bates O, Clinch S, Davies N, Friday A, Noulas A. Poster: Understanding Mobile User Interactions with the IoT. In MobiSys '16 Companion Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services Companion. New York: ACM. 2016. p. 140-140 https://doi.org/10.1145/2938559.2938607

Author

Mikusz, Mateusz ; Bates, Oliver ; Clinch, Sarah ; Davies, Nigel ; Friday, Adrian ; Noulas, Anastasios. / Poster: Understanding Mobile User Interactions with the IoT. MobiSys '16 Companion Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services Companion. New York : ACM, 2016. pp. 140-140

Bibtex

@inproceedings{cbada75242a44111a1caab275cd44d1c,
title = "Poster: Understanding Mobile User Interactions with the IoT",
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.",
author = "Mateusz Mikusz and Oliver Bates and Sarah Clinch and Nigel Davies and Adrian Friday and Anastasios Noulas",
year = "2016",
month = jun
day = "30",
doi = "10.1145/2938559.2938607",
language = "English",
isbn = "9781450344166",
pages = "140--140",
booktitle = "MobiSys '16 Companion Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services Companion",
publisher = "ACM",
note = "14th Annual International Conference on Mobile Systems, Applications, and Services (MobiSys) ; Conference date: 25-06-2016 Through 30-06-2016",

}

RIS

TY - GEN

T1 - Poster: Understanding Mobile User Interactions with the IoT

AU - Mikusz, Mateusz

AU - Bates, Oliver

AU - Clinch, Sarah

AU - Davies, Nigel

AU - Friday, Adrian

AU - Noulas, Anastasios

PY - 2016/6/30

Y1 - 2016/6/30

N2 - 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.

AB - 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.

U2 - 10.1145/2938559.2938607

DO - 10.1145/2938559.2938607

M3 - Conference contribution/Paper

SN - 9781450344166

SP - 140

EP - 140

BT - MobiSys '16 Companion Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services Companion

PB - ACM

CY - New York

T2 - 14th Annual International Conference on Mobile Systems, Applications, and Services (MobiSys)

Y2 - 25 June 2016 through 30 June 2016

ER -