Heejin Jeong

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This paper describes the modifications to free, open-source driving simulator software to simulate a car-following task resembling that in the NHTSA driver distraction protocol. In brief, the peak-to-peak amplitudes of the lead vehicle were sharply reduced (to 70% of the specified values) and made more uniform. In addition, the mean speed was reduced by 10(More)
Humanoid robots can be a highly desirable substitute for humans when it performs various tasks using tools and equipment designed for humans. One of such possible applications is controlling a vehicle. A humanoid robot can sit in the pilot's seat and command the vehicle using the control columns or steering wheels, pedals, switches, levers, and dials. In(More)
Driver’s lateral control on curved roads plays a significant role in reducing or avoiding the crashes. To understand and predict driver performance on curved roads, a computational model was developed in a cognitive architecture, the Queueing Network-Model Human Processor (QN-MHP), with the integration of vehicle dynamics principles (i.e., how to steer(More)
This study examined how finger-touch input performance (i.e. task completion time, failure status, and error rate) and subjective ratings (i.e. performance and physical demand) are influenced by touchscreen gestures' type and direction. Twenty participants performed one-touch (i.e. drag and swipe) and two-touch (i.e. pinch and spread) gesture tasks on a(More)
This paper introduces a computational human performance model based upon the queueing network cognitive architecture to predict driver’s eye glances and workload for four stimulus-response secondary tasks (i.e., auditorymanual, auditory-speech, visual-manual, and visual-speech types) while driving. The model was evaluated with the empirical data from 24(More)
Standing up after falling is an essential ability for humanoid robots in order to resume their tasks without help from humans. Although many humanoid robots, especially small-size humanoid robots, have their own stand-up motions, there has not been a generalized method to automatically learn flexible stand-up motions for humanoid robots which can be applied(More)
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