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Issues Related to HCI Application of Fitts's Law

Bibliographic Data

ID15216033
AuthorsCharles E Wright (0000-0003-4916-8405, University of California, Irvine, corresponding author), Francis Lee (0000-0003-1587-4950, University of California, Irvine)
Year2013
Volume28
Issue6
Pages548-578
Publication date2013-05-16
Open AccessNo
TypeARTICLE
VenueHuman-Computer Interaction (JOURNAL)
Journal identifiersISSN: 0737-0024 • E-ISSN: 1532-7051
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/07370024.2013.803873
OpenAlexW1984203539
LanguageEN
References cited24

Taking Fitts's law as a premise—that is, movement time is a linear function of an appropriate index of difficulty—we explore three issues related to the collection and reporting of these data from the perspective of application within human–computer interaction. The central question involved two design choices. Whether results obtained using blocked target conditions are representative of performance in situations in which, as is often the case, target conditions vary from movement to movement and how this difference depends on whether discrete or serial (continuous) movements are studied. Although varied target conditions led to longer movement times, the effect was additive, was surprisingly small, and did not depend on whether the movements were discrete or serial. This suggests that evaluating devices or designs using blocked data may be acceptable. With Zhai (2004) we argue against the practice of reporting throughput as a one-dimensional summary for published comparisons of devices or designs. Also questioned is whether analyses using an accuracy-adjusted index of difficulty are appropriate in all design applications

Cognitive psychology · Fitts's law · Function (biology · Index (typography · Movement (music · Perspective (graphical · Premise · Programming language · Throughput · Computer Science · Interactive and Immersive Displays · Psychology · Tactile and Sensory Interactions · Usability and User Interface Design · Artificial Intelligence

  • The information capacity of the human motor system in controlling the amplitude of movement.

    Paul M Fitts•Journal of Experimental…•1954

  • Fitts' Law as a Research and Design Tool in Human-Computer Interaction

    I Scott MacKenzie•Human-Computer Interaction•1992

Highly citedNo

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