作者: Jung-Chul Park
DOI: 10.5143/JESK.2011.30.5.589
关键词: Computer vision 、 Engineering 、 Software 、 Visual occlusion 、 Task (computing) 、 Touchscreen 、 Computer graphics (images) 、 Interface (computing) 、 Shutter 、 Occlusion 、 Artificial intelligence
摘要: Objective: This study compares two visual occlusion methods for the evaluation of in-vehicle interfaces. Background: Visual is a demand measuring technique which uses periodic vision/occlusion cycle to simulate driving(or mobile) environment. It has been widely used There are major implementation this technique: (1) using PLATO(portable liquid crystal apparatus tachistoscopic occlusion) goggles; (2) software application on touchscreen device. Method: An experiment was conducted examine an interface prototype goggle-based and touchscreen-based methods. Address input radio tuning tasks were evaluated in experiment. Results: The results showed that, task, there no significant differences total shutter open time resumability ratio between conditions. However, it took longer participants addresses with occlusion. Conclusion & Application: suggest that method could be as alternative traditional, gogglebased especially less demanding such tuning.