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Investigating user tolerance for errors in vision-enabled gesture-based interactions
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Proceedings of the working conference on Advanced visual interfaces table of contents
Venezia, Italy
SESSION: Evaluating interaction: research papers table of contents
Pages: 225 - 232  
Year of Publication: 2006
ISBN:1-59593-353-0
Authors
Maria Karam  University of Southampton, Highfield, Southampton, United Kingdom
m. c. schraefel  University of Southampton, Highfield, Southampton, United Kingdom
Publisher
ACM  New York, NY, USA
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ABSTRACT

In this paper, we describe our investigation into user tolerance of recognition errors during hand gesture interactions with visual displays. The study is based on our proposed interaction model for investigating gesture based interactions, focusing on three elements: Interaction context, system performance and user goals. This Wizard of Oz experiment investigates how recognition system accuracy rates and task characteristics in both desktop and ubiquitous computing scenarios can influence user tolerance for gesture interactions. Results suggest that interaction context is a greater influence on user tolerance than system performance alone, where recognition error rates can potentially reach 40% before users will abandon gestures and use an alternate interaction mode in a ubiquitous computing scenario. Results also suggest that in a desktop scenario, traditional input methods are more appropriate than gestures.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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William Freeman and Craig D. Weissman. Television control by hand gestures. Technical report, IEEE Intl. Wkshp. on Automatic Face and Gesture Recognition, June 1995.
 
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Dennis F. Galletta, Raymond Henry, Scott McCoy, and Peter Polak. Web site delays: How tolerant are users? Journal of the Association for Information Systems, 5(1):1--28, 2004.
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Jonathon Hare, Maria Karam, Paul Lewis, and m. c. schraefel. igesture: A platform for investigating multimodal, multimedia gesture-based interactions. Technical report, Electronics and Computer Science, University of Southampton, November 2005.
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Maria Karam and m. c. schraefel. A taxonomy of gestures in human computer interactions. Technical report, Electronics and Computer Science, University of Southampton, November 2005.
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D. S. McCrickard and C. M. Chewar. Cognitive Systems: Human Cognitive Models in Systems Design., chapter Designing Attention-Centric Notification Systems: Five HCI Challenges, pages 67--89. Lawrence Earlbaum, 2005.
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Collaborative Colleagues:
Maria Karam: colleagues
m. c. schraefel: colleagues