A Comparison of Visual Occlusion Methods: Touch Screen Device vs. PLATO Goggles

作者: Jung-Chul Park

DOI: 10.5143/JESK.2011.30.5.589

关键词: Computer visionEngineeringSoftwareVisual occlusionTask (computing)TouchscreenComputer graphics (images)Interface (computing)ShutterOcclusionArtificial 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.

参考文章(6)
Sheila G Klauer, Thomas A Dingus, Vicki L Neale, Jeremy D Sudweeks, David J Ramsey, None, The Impact of Driver Inattention on Near-Crash/Crash Risk: An Analysis Using the 100-Car Naturalistic Driving Study Data United States. National Highway Traffic Safety Administration. ,(2006)
Michael Arthur Regan, Kristie Lee Young, Mike Hammer, Driver distraction: A review of the literature Monash University Accident Research Centre. ,(2003)
Ronald R. Knipling, Michael J. Goodman, Jing-Shiarn Wang, The role of driver inattention in crashes: new statistics from the 1995 crashworthiness data system PROCEEDINGS OF THE 40TH ANNUAL CONFERENCE OF THE ASSOCIATION FOR THE ADVANCEMENT OF AUTOMOTIVE MEDICINE, VANCOUVER, BRITISH COLUMBIA, CANADA, OCTOBER 7-9, 1996. ,vol. 40, pp. 377- 392 ,(1996)
Michael Pettitt, Gary Burnett, Visual Demand Evaluation Methods for In-Vehicle Interfaces International Journal of Mobile Human Computer Interaction. ,vol. 2, pp. 45- 57 ,(2010) , 10.4018/JMHCI.2010100103