How We Swipe: A Large-scale Shape-writing Dataset and Empirical Findings

Author:

Leiva Luis A.1,Kim Sunjun2,Cui Wenzhe3,Bi Xiaojun4,Oulasvirta Antti5

Affiliation:

1. University of Luxembourg, Luxembourg

2. Department of Communications and Networking Aalto University, Finland

3. Computer Science Stony Brook University, United States

4. Department of Computer Science Stony Brook University, United States

5. Aalto University, Finland

Funder

DGIST

Academy of Finland

Publisher

ACM

Reference50 articles.

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Behavioral Differences between Tap and Swipe: Observations on Time, Error, Touch-point Distribution, and Trajectory for Tap-and-swipe Enabled Targets;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

2. Fast and Robust Mid-Air Gesture Typing for AR Headsets using 3D Trajectory Decoding;IEEE Transactions on Visualization and Computer Graphics;2023-11

3. Evaluating the Performance of Hand-Based Probabilistic Text Input Methods on a Mid-Air Virtual Qwerty Keyboard;IEEE Transactions on Visualization and Computer Graphics;2023-11

4. FairComp: Workshop on Fairness and Robustness in Machine Learning for Ubiquitous Computing;Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing;2023-10-08

5. The State of Algorithmic Fairness in Mobile Human-Computer Interaction;Proceedings of the 25th International Conference on Mobile Human-Computer Interaction;2023-09-26

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