Hostname: page-component-74656f9884-qr5l4 Total loading time: 0 Render date: 2026-11-03T20:39:52.511Z Has data issue: false hasContentIssue false

Exploring gesture generation for smartwatches: is user elicitation enough?

Published online by Cambridge University Press:  16 May 2024

Saugata Pramanik
Affiliation:
Indian Institute of Technology Guwahati, India
Sahil Pabbathi*
Affiliation:
Indian Institute of Technology Guwahati, India
Shakuntala Acharya
Affiliation:
Indian Institute of Technology Guwahati, India

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the 'Save PDF' action button.

Gestures are a preferred mode of interaction for smartwatches and these are commonly elicited either by expert/designers or by users. This paper aims to understand the most promising approach for generating and assessing gestures by employing two empirical studies to validate a set of expert/designer-generated gestures. It further gains insights into the users' mental models, their role as co-creators, and their considerations for one-handed gestures in smartwatches, and discusses the virtue of incorporating both approaches of gesture elicitation.

Information

Type
Human Behaviour and Design Creativity
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2024.