Abstract
Multitasking on a PC has long been a common practice for users. However, recent rapid technological advancements often complicate multitasking. At this moment, users can utilize many applications on one or more wide displays simultaneously. Thus, the number of tasks and their windows are dramatically increased. Under these circumstances, window switching costs cannot be underestimated. In this paper, we propose a window switching prediction mechanism to facilitate finding the desired window. The mechanism predicts and suggests which window will be needed for the next task based on user operation history. Prediction precision and efficiency of multitasking were investigated by collecting and analysing logs of actual multitasking on subjects’ PCs. The experimental results show that the mechanism was able to reduce the time costs of window switching. We also found that the subjects tended to use both traditional and the proposed window switching methods.
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References
Baeza-Yates, R., Jiang, D.: Predicting the next app that you are going to use. In: Proceedings of the WSDM 2015, pp. 285–294. ACM Press (2015)
Bernstein, M., Shrager, J., Winograd, T.: Taskposé: exploring fluid boundaries in an associative window visualization. In: Proceedings of the UIST 2008, pp. 231–234. ACM Press (2008)
Fitchett, S., Cockburn, A.: AccessRank: predicting what users will do next. In: Proceedings of the CHI 2012, pp. 2239–2242. ACM Press (2012)
Hutchings, D.R., Smith, G., Meyers, B., Czerwinski, M., Robertson, G.: Display space usage and window management operation comparisons between single monitor and multiple monitor users. In: Proceedings of the AVI 2004, pp. 32–39. ACM Press (2004)
Ishak, E.W., Feiner, S.K.: Interacting with hidden content using content-aware free-space transparency. In: Proceedings of the UIST 2004, pp. 189–192. ACM Press (2004)
Lischke, L., Mayer, S., Hoffmann, J., Kratzer, P., Roth, S., Wolf, K., Woniak, P.: Interaction techniques for window management on large high-resolution displays. In: Proceedings of the MUM 2017, pp. 241–247. ACM Press (2017)
Liu, S., Tajima, K.: WildThumb: a web browser supporting efficient task management on wide displays. In: Proceedings of the IUI 2010, pp. 159–168. ACM Press (2010)
Multiple desktops in Windows 10. https://support.microsoft.com/en-us/help/4028538/. Accessed 23 Apr 2019
Oliver, N., Czerwinski, M., Smith, G., Roomp, K.: RelAltTab: assisting users in switching windows. In: Proceedings of the IUI 2008, pp. 385–388. ACM Press (2008)
Standard Banner Sizes List. https://blog.bannersnack.com/banner-standard-sizes/. Accessed 17 Apr 2019
Shibata, H., Omura, K.: Docking window framework: supporting multitasking by docking windows. In: Proceedings of the APCHI 2012, pp. 227–236. ACM Press (2012)
Waldner, M., Steinberger, M., Grasset, R., Schmalstieg, D.: Importance-driven compositing window management. In: Proceedings of the CHI 2011, pp. 959–968. ACM Press (2011)
Warr, A., Chi, E.H., Harris, H., Kuscher, A., Chen, J., Flack, R., Jitkoff, N.: Window shopping: a study of desktop window switching. In: Proceedings of the CHI 2016, pp. 3335–3338. ACM Press (2016)
Xu, Q., Casiez, G.: Push-and-Pull switching: window switching based on window overlapping. In: Proceedings of the CHI 2010, pp. 1335–1338. ACM Press (2010)
Yoshida, K., Ozono, T., Shintani, T.: FoXpace: manipulating windows based on the user’s work history. In: Proceedings of the IIAI-AAI 2016, pp. 698–703. IEEE (2016)
Yoshida, K., Ozono, T., Shintani, T.: Developing an automatic window manipulation system considering content on application windows and user’s behavior. Int. J. Smart Comput. Artif. Intell. 1(2), 59–75 (2017)
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Sato, K., Imada, S., Mazume, S., Nakashima, M. (2020). A Mechanism of Window Switching Prediction Based on User Operation History to Facilitate Multitasking. In: Barolli, L., Nishino, H., Enokido, T., Takizawa, M. (eds) Advances in Networked-based Information Systems. NBiS - 2019 2019. Advances in Intelligent Systems and Computing, vol 1036. Springer, Cham. https://doi.org/10.1007/978-3-030-29029-0_15
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DOI: https://doi.org/10.1007/978-3-030-29029-0_15
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