Strategy for Improving Target Selection Accuracy in Indirect Touch Input

Yizhong XIN  Ruonan LIU  Yan LI  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E103-D   No.7   pp.1703-1709
Publication Date: 2020/07/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2019EDP7218
Type of Manuscript: PAPER
Category: Human-computer Interaction
Keyword: 
indirect touch input,  target selection,  accuracy,  learning effect,  

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Summary: 
Aiming at the problem of low accuracy of target selection in indirect touch input, an indirect multi-touch input device was designed and built. We explored here four indirect touch input techniques which were TarConstant, TarEnlarge, TarAttract, TarEnlargeAttract, and investigated their performance when subjects completing the target selection tasks through comparative experiments. Results showed that TarEnlargeAttract enabled the shortest movement time along with the lowest error rate, 2349.9ms and 10.9% respectively. In terms of learning effect, both TarAttract and TarEnlargeAttract had learning effect on movement time, which indicated that the speed of these two techniques can be improved with training. Finally, the strategy of improving the accuracy of indirect touch input was given, which has reference significance for the interface design of indirect touch input.