Evaluation of an Eye Tracking Selection Technique with Progressive Refinement

dc.contributor.advisor

Kopper, Regis

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Wang, Yunhan

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2018-05-31T21:18:44Z

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2019-05-15T08:17:12Z

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2018

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Mechanical Engineering and Materials Science

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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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https://hdl.handle.net/10161/17036

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Computer science

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Mechanical engineering

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eye tracking

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interaction technique

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Selection

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Virtual reality

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Evaluation of an Eye Tracking Selection Technique with Progressive Refinement

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Master's thesis

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11

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