Porcheron, M;
Lucero, A;
Quigley, A;
Marquardt, N;
Clawson, J;
O'Hara, K;
(2016)
Proxemic mobile collocated interactions.
In: Cliff, Lampe and Dan, Morris and Juan Pablo, Hourcade, (eds.)
Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems.
(pp. pp. 3309-3316).
ACM: California, USA.
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Abstract
Recent research on mobile collocated interactions has been looking at situations in which collocated users engage in collaborative activities using their mobile devices. However, existing practices fail to fully account for the culturally-dependent spatial relationships between people and their digital devices (i.e. the proxemic relationships). Building on the ideas of proxemic interactions, this workshop is motivated by the concept of 'proxemic mobile collocated interactions', to harness new or existing technologies to create engaging and interactionally relevant experiences. Such approaches would allow devices to not only react to presence and interaction, but also other indicators, such as the interpersonal distance people naturally use in everyday life. The aim of this one-day workshop is to bring together a community of researchers, designers and practitioners who are interested in exploring proxemics and mobile collocated interactions.
Type: | Proceedings paper |
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Title: | Proxemic mobile collocated interactions |
Event: | 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems |
ISBN-13: | 9781450340823 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1145/2851581.2856471 |
Publisher version: | http://doi.org/10.1145/2851581.2856471 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
URI: | https://discovery.ucl.ac.uk/id/eprint/10043663 |
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