One Fitts’ Law, Two Metrics
Conference paper
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Abstract
Movement time in Fitts’ law is usually considered through the ambiguous notion of the average of minimum movement times. In this paper, we argue that using two distinct metrics, one relating to minimum time and the other relating to average time can be advantageous. Both metrics have a lot of support from theoretical and empirical perspectives. We also give two examples, one in a controlled experiment and the other in a field study of pointing, where making the minimum versus average distinction is fruitful.
Keywords
Minimum Time Motion Movement Time Distinct Metal Field Studies Channel Coding Theorem
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
- 1.Chapuis, O., Blanch, R., Beaudouin-Lafon, M.: Fitts’ law in the wild: a field study of aimed movements (2007)Google Scholar
- 2.Cover, T.M., Thomas, J.A.: Elements of Information Theory. Wiley, New Jersey (2012)zbMATHGoogle Scholar
- 3.Drewes, H.: Only one Fitts’ law formula please! In: Extended Abstracts on Human Factors in Computing Systems, CHI 2010, pp. 2813–2822. ACM (2010)Google Scholar
- 4.Evans, A., Wobbrock, J.: Taming wild behavior: the input observer for obtaining text entry and mouse pointing measures from everyday computer use. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 2012, NY, USA, pp. 1947–1956 (2012). http://doi.acm.org/10.1145/2207676.2208338
- 5.Fitts, P.M.: The information capacity of the human motor system in controlling the amplitude of movement. J. Exp. Psychol. 47(6), 381 (1954)CrossRefGoogle Scholar
- 6.Guiard, Y., Olafsdottir, H.B., Perrault, S.T.: Fitt’s law as an explicit time/error trade-off. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 1619–1628. ACM (2011)Google Scholar
- 7.Guiard, Y., Rioul, O.: A mathematical description of the speed/accuracy trade-off of aimed movement. In: Proceedings of the 2015 British HCI Conference, pp. 91–100. ACM (2015)Google Scholar
- 8.Hoffmann, E.R.: Which version/variation of Fitts law? A critique of information-theory models. J. Mot. Behav. 45(3), 205–215 (2013)CrossRefGoogle Scholar
- 9.Mackenzie, I.S.: Fitts’ law as a performance model in human-computer interaction. Ph.D. thesis, University of Toronto (1992)Google Scholar
- 10.MacKenzie, I.S., Buxton, W.: Extending Fitts’ law to two-dimensional tasks. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 219–226. ACM, New York (1992)Google Scholar
- 11.MacKenzie, I.S.: A note on the information-theoretic basis for Fitts law. J. Mot. Behav. 21(3), 323–330 (1989)CrossRefGoogle Scholar
- 12.Schmidt, R.A., Zelaznik, H., Hawkins, B., Frank, J.S., Quinn Jr., J.T.: Motor-output variability: a theory for the accuracy of rapid motor acts. Psychol. Rev. 86(5), 415 (1979)CrossRefGoogle Scholar
- 13.Soukoreff, R.W., MacKenzie, I.S.: Towards a standard for pointing device evaluation, perspectives on 27 years of Fitts law research in HCI. Int. J. Hum.-Comput. Stud. 61(6), 751–789 (2004)CrossRefGoogle Scholar
- 14.Yun, S., Lee, G.: Design and comparison of acceleration methods for touchpad. In: Extended Abstracts on Human Factors in Computing Systems, CHI 2007, CHI EA 2007, pp. 2801–2812. ACM, New York (2007). http://doi.acm.org/10.1145/1240866.1241082
- 15.Zhai, S., Kristensson, P.O., Appert, C., Andersen, T.H., Cao, X.: Foundational issues in touch-screen stroke gesture design-an integrative review. Found. Trends Hum.-Comput. Interact. 5(2), 97–205 (2012)CrossRefGoogle Scholar
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