Predicting task execution time on handheld devices using the keystroke-level model

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Predicting task execution time on handheld devices using the keystroke-level model

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Conference on Human Factors in Computing Systems archive
CHI '05 extended abstracts on Human factors in computing systems table of contents

Portland, OR, USA

SESSION: Late breaking results: short papers table of contents

Pages: 1605 - 1608

Year of Publication: 2005

ISBN:1-59593-002-7

Authors

Lu Luo	Carnegie Mellon University, Pittsburgh, PA
Bonnie E. John	Carnegie Mellon University, Pittsburgh, PA

Sponsors

ACM: Association for Computing Machinery
SIGCHI: ACM Special Interest Group on Computer-Human Interaction

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 14, Downloads (12 Months): 122, Citation Count: 5

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ABSTRACT

The Keystroke-Level Model (KLM) has been shown to predict skilled use of desktop systems, but has not been validated on a handheld device that uses a stylus instead of a keyboard. This paper investigates the accuracy of KLM predictions for user interface tasks running on a Palm OS based handheld device. The models were produced using a recently developed tool for KLM construction, CogTool, and were compared to data obtained from a user study of 10 participants. Our results have shown that the KLM can accurately predict task execution time on handheld user interfaces with less than 8% prediction error.

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.

	1	Anderson, J.R. and Lebiere, C. The Atomic Component of Thought. Lawrence Erlbaum Associates, Hillsdale, NJ, USA, 1998.
	2	Stuart K. Card , Thomas P. Moran , Allen Newell, The keystroke-level model for user performance time with interactive systems, Communications of the ACM, v.23 n.7, p.396-410, July 1980 [doi>10.1145/358886.358895]
	3	Fleetwood, M.D., Byrne, M. D., et. al. An evaluation of text entry in Palm OS-Graffiti and the Virtual Keyboard. Proceedings of the Human Factors and Ergonomics Society 46th Annual Meeting. Santa Monica, CA, 2002.
	4	Peter Haunold , Werner Kuhn, A keystroke level analysis of a graphics application: manual map digitizing, Proceedings of the SIGCHI conference on Human factors in computing systems: celebrating interdependence, p.337-343, April 24-28, 1994, Boston, Massachusetts, United States [doi>10.1145/191666.191779]
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CITED BY 5

	Leonghwee Teo , Bonnie E. John, Comparisons of keystroke-level model predictions to observed data, CHI '06 extended abstracts on Human factors in computing systems, April 22-27, 2006, Montréal, Québec, Canada
	Paul Holleis , Dagmar Kern , Albrecht Schmidt, Integrating user performance time models in the design of tangible UIs, CHI '07 extended abstracts on Human factors in computing systems, April 28-May 03, 2007, San Jose, CA, USA
	Bonnie E. John , Dario D. Salvucci, Multipurpose Prototypes for Assessing User Interfaces in Pervasive Computing Systems, IEEE Pervasive Computing, v.4 n.4, p.27-34, October 2005
	Michael Pettitt , Gary Burnett , Alan Stevens, An extended keystroke level model (KLM) for predicting the visual demand of in-vehicle information systems, Proceedings of the SIGCHI conference on Human factors in computing systems, April 28-May 03, 2007, San Jose, California, USA
	Paul Holleis , Friederike Otto , Heinrich Hussmann , Albrecht Schmidt, Keystroke-level model for advanced mobile phone interaction, Proceedings of the SIGCHI conference on Human factors in computing systems, April 28-May 03, 2007, San Jose, California, USA