Investigating Clutching Interactions for Touchless Medical Imaging Systems

Cronin, S., Freeman, E. and Doherty, G. (2022) Investigating Clutching Interactions for Touchless Medical Imaging Systems. In: 2022 CHI Conference on Human Factors in Computing Systems (CHI '22), New Orleans, LA, USA, 30 Apr - 05 May 2022, p. 351. ISBN 9781450391573 (doi: 10.1145/3491102.3517512)

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Touchless input could transform clinical activity by allowing health professionals direct control over medical imaging systems in a sterile manner. Currently, users face the issues of being unable to directly manipulate imaging in aseptic environments, as well as needing to touch shared surfaces in other hospital areas. Unintended input is a key challenge for touchless interaction and could be especially disruptive in medical contexts. We evaluated four clutching techniques with 34 health professionals, measuring interaction performance and interviewing them to obtain insight into their views on clutching, and touchless control of medical imaging. As well as exploring the performance of the different clutching techniques, our analysis revealed an appetite for reliable touchless interfaces, a strong desire to reduce shared surface contact, and suggested potential improvements such as combined authentication and touchless control. Our findings can inform the development of novel touchless medical systems and identify challenges for future research.

Item Type:Conference Proceedings
Additional Information:The work of Gavin Doherty is supported, in part, by Science Foundation Ireland grant number 13/RC/2106_P2 to the Adapt Centre and 13/RC/2094_P2 to the Lero Centre.
Glasgow Author(s) Enlighten ID:Freeman, Dr Euan
Authors: Cronin, S., Freeman, E., and Doherty, G.
College/School:College of Science and Engineering > School of Computing Science
Copyright Holders:Copyright © 2022 The Authors
First Published:First published in 2022 CHI Conference on Human Factors in Computing Systems (CHI '22): 351
Publisher Policy:Reproduced under a Creative Commons License
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