Literature DB >> 33828737

Improving Eye-Computer Interaction Interface Design: Ergonomic Investigations of the Optimum Target Size and Gaze-triggering Dwell Time.

Ya-Feng Niu1, Yue Gao1, Ya-Ting Zhang1, Cheng-Qi Xue1, Li-Xin Yang1.   

Abstract

Interactive feedback of interface elements and low level of spatial accuracy are two main key points for the interaction research in the Eye-computer interaction system. This study tried to solve these two problems from the perspective of human-computer interactions and ergonomics. Two experiments were conducted to explore the optimum target size and gaze-triggering dwell time of the eye-computer interaction (ECI) system. Experimental Series 1 was used as the pre-experiment to identify the size that has a greater task completion rate. Experimental Series 2 was used as the main experiment to investigate the optimum gaze-triggering dwell time by using a comprehensive evaluation of the task completion rate, reaction time, and NASA-TLX (Task Load Index). In Experimental Series 1, the optimal element size was determined to be 256 × 256p x 2. The conclusion of Experimental Series 2 was that when the dwell time is set to 600 ms, the efficiency of the interface is the highest, and the task load of subjects is minimal as well. Finally, the results of Experiment Series 1 and 2 have positive effects on improving the usability of the interface. The optimal control size and the optimal dwell time obtained from the experiments have certain reference and application value for interface design and software development of the ECI system.

Entities:  

Keywords:  ECI; dwell time; ergonomics; target size; usability

Year:  2020        PMID: 33828737      PMCID: PMC7880147          DOI: 10.16910/jemr.12.3.8

Source DB:  PubMed          Journal:  J Eye Mov Res        ISSN: 1995-8692            Impact factor:   0.957


  11 in total

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Journal:  Appl Ergon       Date:  2013-05-28       Impact factor: 3.661

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Authors:  Catrin Hasse; Carmen Bruder
Journal:  Ergonomics       Date:  2014-12-20       Impact factor: 2.778

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