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Research at St Andrews

Proxemic mobile collocated interactions

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Author(s)

Martin Porcheron, Andrés Lucero, Aaron Quigley, Nicolai Marquardt, James Clawson, Kenton O'Hara

School/Research organisations

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.

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Details

Original languageEnglish
Title of host publicationProceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA '16)
PublisherAssociation for Computing Machinery, Inc
Pages3309-3316
Number of pages8
ISBN (Electronic)9781450340823
DOIs
Publication statusPublished - 7 May 2016
Event34th Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2016 - San Jose, United States
Duration: 7 May 201612 May 2016
Conference number: 24
https://chi2016.acm.org/wp/

Conference

Conference34th Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2016
Abbreviated titleCHI 2016
CountryUnited States
CitySan Jose
Period7/05/1612/05/16
Internet address

    Research areas

  • Co-located interaction, Collaboration, Handheld devices, Multi-device, Multi-user, Proxemics

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ID: 255433911

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