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Keith S. Karn

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Publication statistics

Pub. period:1992-2006
Pub. count:4
Number of co-authors:9

Co-authors

Number of publications with 3 favourite co-authors:

Julia M. West:1
Anne R. Haake:1
Evelyn P. Rozanski:1

Productive colleagues

Keith S. Karn's 3 most productive colleagues in number of publications:

Joseph H. Goldberg:19
Michael W. Riley:11
Brian Peacock:3

Calendar

May 27

13th Intl. Conf. on New Interfaces for Musical Expression

May 28

Graphics Interface 2013

May 29

Boston UXPA Usability and UX Conf. 2013

May 26

“ The theory gives the answers, not the theorist. ”

-- Allen Newell

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Keith S. Karn

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Publications by Keith S. Karn (bibliography)

2006

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West, Julia M., Haake, Anne R., Rozanski, Evelyn P. and Karn, Keith S. (2006): eyePatterns: software for identifying patterns and similarities across fixation sequences. In: Räihä, Kari-Jouko and Duchowski, Andrew T. (eds.) ETRA 2006 - Proceedings of the Eye Tracking Research and Application Symposium March 27-29, 2006, San Diego, California, USA. pp. 149-154.

2000

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Karn, Keith S. (2000): "Saccade pickers" vs. "fixation pickers": the effect of eye tracking instrumentation on research. In: Duchowski, Andrew T. (ed.) ETRA 2000 - Proceedings of the Eye Tracking Research and Application Symposium November 6-8, 2000, Palm Beach Gardens, Florida, USA. pp. 87-88.

1997

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Karn, Keith S., Perry, Thomas J. and Krolczyk, Marc J. (1997): Testing for Power Usability: A CHI 97 Workshop. In ACM SIGCHI Bulletin, 29 (4) pp. 63-67.

1992

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Goldberg, Joseph H., Champney, Paul C., Karn, Keith S., Riley, Michael W. and Peacock, Brian (1992): First Course in Human Factors Engineering: What Should be Taught?. In: Proceedings of the Human Factors Society 36th Annual Meeting 1992. pp. 561-562.

“Industry and academia often have differing desires in the introductory Human Factors education of engineering students. Industry seeks solutions to current problems, whereas academia can communicate state-of-the-art concepts without immediate application. This panel session united members of academia and industry for discussion of what topics and structure should underlie a one-semester, introductory, survey course in Human Factors Engineering. Each panel member expressed his opinion of what should be in such a course, followed by discussion aimed at achieving consensus of opinions.”

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