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비쥬얼 롭을 사용한 다수표적 탐색의 수행도 예측

Predicting Human Performance of Multiple-Target Search Using a Visual Lobe

  • 홍승권 (충주대학교 산업경영공학과)
  • Hong, Seung-Kweon (Department of Industrial and Management Engineering, Chungju National University)
  • 발행 : 2009.08.31

초록

This study is concerned with predicting human search performance using a visual lobe. The most previous studies on human performance in visual search have been limited to a single-target search. This study extended the visual search research to multiple-target search including targets of different types as well as targets of same types. A model for predicting visual search performance was proposed and the model was validated by human search data. Additionally, this study found that human subjects always did not use a constant ratio of the whole visual lobe size for each type of targets in visual search process. The more conspicuous the target is, the more ratio of the whole visual lobe size human subjects use. The model that can predict human performance in multiple-target search may facilitate visual inspection plan in manufacturing.

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참고문헌

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