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Shin'ichi Onimaru

dblp:07/5519 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2010
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 2 · 2 first-authorHuman-computer interaction and ubiquitous computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Haptics and multimodal interaction · 56% Ubiquitous computing and smart environments · 44%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Ubiquitous computing and smart environments › automotive interaction
driver assistance
0.112010
Visual and tactile information to improve drivers' performance · VR 2010
Haptics and multimodal interaction › haptic feedback
tactile feedback
0.112010
Visual and tactile information to improve drivers' performance · VR 2010
Haptics and multimodal interaction
multimodal perception
0.012010
Visual and tactile information to improve drivers' performance · VR 2010

Methods — techniques the papers use, named apart from their topics

driving simulator study · 0.1
YearPublicationVenuePosition
2010 Visual and tactile information to improve drivers' performance
abstract
Usually we steer a car using mainly visual information to perceive road's shape and bends. We developed a driving simulator with visual and/or tactile information guides to virtually present drivers' lateral position and to enhance their steering performance. The purpose of this study was to test effects of the cross-modal guide information on the driving performance. We found that the tactile guide improved driving accuracy more than the visual guide without any tradeoff of driving loads. Thus, the tactile information of virtual position of a car is useful for assisting and improving driver's performance with fewer loads.
Shin'ichi Onimaru, Michiteru Kitazaki
VR1
2008 Cross-modal information display to improve driving performance
abstract
We developed a driving simulator with visual and/or auditory information display to enhance the perception of lateral position of the driving car in real-time. The purpose of this study was to test effects of the cross-modal assistance information on the driving performance. We found the discrete visual assistance improved the driving accuracy, but increased the driving load. For auditory and audio-visual assistances, the continuous information improved the accuracy without increasing the load. Thus, the cross-modal information is useful for assisting and improving driver's performance with fewer loads.
Shin'ichi Onimaru, Taro Uraoka, Naoyuki Matsuzaki, Michiteru Kitazaki
VRST1