Modeling dwell-based eye pointing at two-dimensional targets

  • Authors:
  • Xinyong Zhang;Wenxin Feng;Hongbin Zha

  • Affiliations:
  • Renmin University of China, Beijing, China;Renmin University of China, Beijing, China;Peking University, Beijing, China

  • Venue:
  • CHI '12 Extended Abstracts on Human Factors in Computing Systems
  • Year:
  • 2012

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Abstract

Zhang et al. (2010) proposed a performance model for dwell-based eye pointing. However, their model was based on a specific circular target condition, without the ability to predict the performance of acquiring conventional rectangular targets. In this paper, we extend their one-dimensional model to two-dimensional (2D) target conditions. Carrying out an experiment, we evaluate the abilities of different model candidates to find out the most appropriate one. The new index of difficulty we redefine for 2D eye pointing (IDeye) can properly reflect the asymmetrical impact of target width and height, and consequently the IDeye model can accurately predict the performance for 2D targets (R2 0.9). According to the results of our study, the new model can provide more useful design implications for gaze-based interactions.