Abstract
We compared a game-based experiment carried out in a lab study to crowdsourced set ups (both uninformed and informed). We investigated the device’s human resolution - the minimum size for dragging the finger onto a target on a touch screen. Participants in the lab consistently produced fewer errors than those from the crowd. For lab participants, errors significantly increased between targets of 4 mm and 2 mm in width. The uninformed crowd had too many errors to determine significant differences but the informed crowd yielded useful data and performance declined already for targets between 8 mm and 4 mm width. The smallest selectable target width for dragging for all three groups combined, was between 2 mm and 4 mm on mobile touch devices.
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Benko, H., Wilson, A.D., Baudisch, P.: precise selection techniques for multi-touch screens. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 1263–1272 (2006)
Bérard, F., Wang, G., Cooperstock, J.R.: On the limits of the human motor control precision: the search for a device’s human resolution. In: Campos, P., Graham, N., Jorge, J., Nunes, N., Palanque, P., Winckler, M. (eds.) INTERACT 2011. LNCS, vol. 6947, pp. 107–122. Springer, Heidelberg (2011). doi:10.1007/978-3-642-23771-3_10
Cockburn, A., Ahlström, D., Gutwin, C.: Understanding performance in touch selections: tap, drag and radial pointing drag with finger, stylus and mouse. Int. J. Hum.-Comput. Stud. 70(3), 218–233 (2012)
Fitts, P.M.: The information capacity of the human motor system in controlling the amplitude of movement. J. Exp. Psychol. 47, 381–391 (1954)
Henrich, J., Heine, S.J., Norenzayan, A.: The weirdest people in the world? Behav. Brain Sci. 33, 61–83 (2010)
Henze, N., Boll, S.: It does not fitts my data! Analysing large amounts of mobile touch data. In: Campos, P., Graham, N., Jorge, J., Nunes, N., Palanque, P., Winckler, M. (eds.) INTERACT 2011. LNCS, vol. 6949, pp. 564–567. Springer, Heidelberg (2011). doi:10.1007/978-3-642-23768-3_83
Henze, N., Rukzio, E., Boll, S.: 100,000,000 taps: analysis and improvement of touch performance in the large. In: Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services, pp. 133–142 (2011)
Holz, C., Baudisch, P.: The generalized perceived input point model and how to double touch accuracy by extracting fingerprints. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 581–590 (2010)
MacKenzie, I.S.: Fitts’ law as a research and design tool in human-computer interaction. In: Human-Computer Interaction, pp. 91–139 (1992)
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© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Christensen, A., Pedersen, S.A., Knoche, H. (2017). Gamify HCI: Device’s Human Resolution for Dragging on Touch Screens in a Game with Lab and Crowd Participants. In: Brooks, A., Brooks, E. (eds) Interactivity, Game Creation, Design, Learning, and Innovation. ArtsIT DLI 2016 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 196. Springer, Cham. https://doi.org/10.1007/978-3-319-55834-9_6
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DOI: https://doi.org/10.1007/978-3-319-55834-9_6
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