Modeling a target-selection motion by leveraging an optimal feedback control mechanism

Huang, Jin; Peng, Xiaolan; Tian, Feng; Wang, Hongan; Dai, Guozhong

Sci China Inf Sci, 2018, 61(4): 044101

Target selection has always been a popular research topic in the human-computer interaction (HCI) community. Systems with continuous interactive spaces, such as video games, augmented reality (AR), and virtual reality (VR), are becoming ubiquitous. A good understanding of the process properties (e.g., trajectory and speed profile) of target selection is important as it can provide insight and guidance on the effects of practice on performance, rational decision-making, and layout design in these user interfaces. Despite extensive HCI investigations of human performance in target selection, most have focused on interaction results (e.g., duration and endpoints), and few have studied the process properties of targetselection motion.

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