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Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems 2016
DOI: 10.1145/2858036.2858194
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The Performance and Preference of Different Fingers and Chords for Pointing, Dragging, and Object Transformation

Abstract: International audienceThe development of robust methods to identify which finger is causing each touch point, called “finger identification,” will open up a new input space where interaction designers can associate system actions to different fingers. However, relatively little is known about the performance of specific fingers as single touch points or when used together in a “chord.” We present empirical results for accuracy, throughput, and subjective preference gathered in five experiments with 48 particip… Show more

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Cited by 22 publications
(9 citation statements)
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References 49 publications
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“…We also leveraged previous work when deciding to define a bimanual interaction style where the off-hand anchors and defines the task for the dominant hand [7,8,20,10].…”
Section: Related Workmentioning
confidence: 99%
“…We also leveraged previous work when deciding to define a bimanual interaction style where the off-hand anchors and defines the task for the dominant hand [7,8,20,10].…”
Section: Related Workmentioning
confidence: 99%
“…Physical motion involves the distance and precision with which a cursor needs to be moved, and has been used widely in studying humancomputer interaction tasks using Fitts' Law (e.g., [19], [20], [21]). …”
Section: Physical-motion Costs To Execute Sequencesmentioning
confidence: 99%
“…Mc-Manus et al compared the fingers through the approach of motor control by measuring the inter-tap interval (the time between two consecutive finger taps) for all fingers [23]. Colley et al [3] and Goguey et al [7] compared their performance as well as users' preferences in Fitts' tasks. Roy et al also looked at their reaction times and error rates [28].…”
Section: Comparing Fingersmentioning
confidence: 99%