“One doesn’t fit all”: A comparative study of various finger gesture interaction methods

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Conference Proceeding

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Thanks to the increasing popularity of mobile applications, finger gesture interactions are prevalent; evaluation studies of finger gesture interaction for these devices also gain attention recently. However, prior studies fail to examine users’ interaction preferences and performance of three most popular mobile interaction patterns in mobile games (Tap, Swipe, and Tilt) and link their usage appropriateness with different operation settings (such as lying on the bed, running in a treadmill, etc.), which motivate our study here. In particular, in this paper we offer a comparative study of the three popular finger interaction types under different operation modes in terms of users’ performance accuracy and experiences. Experiment results were mixed, which lead us to suggest that designers should consider users’ most common operation mode before determining interaction styles. We are currently modifiying the testing user interfaces and simplifying the testing tasks so as to investigate how children with autism tend to respond to these various interaction styles as we had observed that Chinese children with Autism Spectrum Disorder (ASD) are more inclined to interact with the touch-screen-enabled applications; and to the best of our knowledge, such research is under-explored and yet key to inform the development of appropriate interactions for these children.

Publication Title

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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