Abstract
We proposed an adaptive auto-scrolling technique, Smart-Scrolling, which determined the scanned information region and hid it automatically in a linear layout view. An experiment was conducted with 15 participants to explore the usability of the technique under various application conditions of different interaction methods, information list lengths, and screen sizes. The experimental results revealed that Smart-Scrolling outperformed the baseline with an improvement in task completion speed of 9.4% and accuracy of 42.9%, and reducing 51.4% manual scrolling. Smart-Scrolling performed better than the baseline under various application conditions of different interaction methods, information list lengths, and screen sizes.
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This work is supported by Science Foundation of Guangxi (AA17204096, AD16380076).
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Liu, C., Wu, N., Mao, H., Su, W. (2019). Smart-Scrolling: Improving Information Access Performance in Linear Layout Views for Small-Screen Devices. In: Huang, DS., Bevilacqua, V., Premaratne, P. (eds) Intelligent Computing Theories and Application. ICIC 2019. Lecture Notes in Computer Science(), vol 11643. Springer, Cham. https://doi.org/10.1007/978-3-030-26763-6_40
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