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Debra K. Dekker

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Publications by Debra K. Dekker (bibliography)

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1994
 
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Alteras-Webb, Sabina and Dekker, Debra K. (1994): Measuring Perceived Task Difficulty Using Magnitude Estimation: A Demonstration and Replication. In: Proceedings of the Human Factors and Ergonomics Society 38th Annual Meeting 1994. pp. 335-339.

The proliferation of sedentary, more cognitively demanding computer-mediated work, calls attention to the need for methods to measure mental work load. The prevent research describes two experiments in which participants performed a machine paced task of entering five and/or nine digit zip codes into a computer. The zip code data was prevented on a computer screen for twelve four minute trials where the rate of zip code presentation varied from trial to trial. Using the psychophysical scaling method of magnitude estimation, participants made a judgment of task difficulty after each trial period. In Experiment 1, four females participated in a repeated measures within-subjects design performing each digit task condition for five consecutive days. In Experiment 2, a between-subjects design was adopted where 42 females performed either the five or the nine digit data-entry for only one testing session. Regression analyses using the independent variable of stimulus presentation rate and the dependent variable of judgments of perceived difficulty resulted in R{squared}s of .90 or better for both digit conditions in both experiments. T-tests were conducted to see if different task parameters would affect difficulty judgments; these were statistically significant to the .001 level in both experiments. The results support the notion that magnitude estimation is a reliable method for scaling subjective perceptions of difficulty, which may be an important component of mental workload.

© All rights reserved Alteras-Webb and Dekker and/or Human Factors Society

 
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Jun 19

... there are no simple 'right' answers for most web design questions (at least not for the important ones). What works is good, integrated design that fills a need--carefully thought out, well executed, and tested.

-- Steve Krug, Don't Make Me Think, p. 136

 
 

Featured chapter

Read the fascinating history of Wearable Computing, told by its father, Steve Mann

Read Steve's chapter !

 
 

Latest books

The Social Design of Technical Systems: Building technologies for communities
by Brian Whitworth and Adnan Ahmad

 
Start reading

The Encyclopedia of Human-Computer Interaction, 2nd Ed.
by Mads Soegaard and Rikke Friis Dam

 
Start reading
 
 

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