Evaluation of an Eye Tracking Selection Technique with Progressive Refinement
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2018
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Abstract
We designed a novel eye tracking selection technique with progressive refinement - eye-controlled sphere-casting refined by quad-menu (EyeSQUAD) selection technique. Through a user study, we evaluated the performance of this technique with comparison of two previous selection techniques - ray-casting and SQUAD under different target size and distractor density scenarios. Results show that the EyeSQUAD technique can achieve similar selection speed as ray-casting and SQUAD and is more accurate than ray-casting although less precise than SQUAD. Finally, we summarized several insights for designing interaction techniques with eye tracking.
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Wang, Yunhan (2018). Evaluation of an Eye Tracking Selection Technique with Progressive Refinement. Master's thesis, Duke University. Retrieved from https://hdl.handle.net/10161/17036.
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