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Myounghoon Jeon

Researcher at Virginia Tech

Publications -  219
Citations -  2293

Myounghoon Jeon is an academic researcher from Virginia Tech. The author has contributed to research in topics: Auditory display & Computer science. The author has an hindex of 18, co-authored 188 publications receiving 1655 citations. Previous affiliations of Myounghoon Jeon include Michigan Technological University & Georgia Institute of Technology.

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Navigation system and method for providing turn-by-turn instructions

TL;DR: In this article, a navigation system and method for providing turn-by-turn instructions for guiding a user along a route is presented, which includes a global positioning system (GPS) receiving module for determining position information of the navigation system, a display unit for displaying information to guide a user on a route, a storage unit for storing map information, and a controller for processing the position information and the map information.
Journal ArticleDOI

Effects of specific emotions on subjective judgment, driving performance, and perceived workload

TL;DR: In this article, the authors explored effects of specific emotions on subjective judgment, driving performance, and perceived workload, and found that different emotions may have different impacts, even though they belong to the same valence or arousal.
Journal ArticleDOI

Spearcons (Speech-Based Earcons) Improve Navigation Performance in Advanced Auditory Menus

TL;DR: Spearcons showed comparable learnability as normal speech and led to better performance than speech-only auditory cues in two-dimensional menu navigation, and have broadened the taxonomy of nonspeech auditory cues.
Book ChapterDOI

Emotions and Affect in Human Factors and Human–Computer Interaction: Taxonomy, Theories, Approaches, and Methods

TL;DR: This chapter presents an overview of emotional and affective components in human factors (HF) and human–computer interaction (HCI) and provides theories of affective effects so that researchers can apply them to their research areas and develop their own theory further.
Proceedings ArticleDOI

Enhanced auditory menu cues improve dual task performance and are preferred with in-vehicle technologies

TL;DR: Both performance of the primary task and the secondary task were better with the auditory menus than with no sound, and Subjective workload scores (NASA TLX) and user preferences favored the enhanced auditory cue types.