Rodriguez, IB;
Marquardt, N;
(2017)
Gesture elicitation study on how to opt-in & Opt-out from interactions with public displays.
In: Dachselt, Raimund and Plasencia, Diego Martinez and Grossman, Tovi, (eds.)
Proceedings of the 2017 ACM International Conference on Interactive Surfaces and Spaces.
(pp. pp. 32-41).
ACM: Brighton, United Kingdom.
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Abstract
Public interactive displays with gesture-recognizing cameras enable new forms of interactions. However, often such systems do not yet allow passers-by a choice to engage voluntarily or disengage from an interaction. To address this issue, this paper explores how people could use different kinds of gestures or voice commands to explicitly opt-in or opt-out of interactions with public installations. We report the results of a gesture elicitation study with 16 participants, generating gestures within five gesture-types for both a commercial and entertainment scenario. We present a categorization and themes of the 430 proposed gestures, and agreement scores showing higher consensus for torso gestures and for opting-out with face/head. Furthermore, patterns indicate that participants often chose non-verbal representations of opposing pairs such as ‘close and open’ when proposing gestures. Quantitative results showed overall preference for hand and arm gestures, and generally a higher acceptance for gestural interaction in the entertainment setting.
Type: | Proceedings paper |
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Title: | Gesture elicitation study on how to opt-in & Opt-out from interactions with public displays |
Event: | 2017 ACM International Conference on Interactive Surfaces and Spaces |
ISBN-13: | 9781450346917 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1145/3132272.3134118 |
Publisher version: | https://doi.org/10.1145/3132272.3134118 |
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. |
Keywords: | Public displays; gesture interfaces; elicitation study; userdefined gestures; whole-body interaction |
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/10043662 |




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