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Ryosuke Shigeto

dblp:404/5699 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 since 2021Human-computer interaction and ubiquitous computing · 1 · 1 since 2021

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.

Computer graphics and multimedia
1 paper
Virtual and augmented reality · 100%
Artificial intelligence
1 paper
Autonomous driving · 100%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Virtual and augmented reality › spatial perception › self-motion perception
motion perception
0.912025
Enhancing Perception of Hyper-Acceleration in Automated Vehicle · HRI 2025
YearPublicationVenuePosition
2025 Enhancing Perception of Hyper-Acceleration in Automated Vehicle
abstract
The number of studies examining the potential of immersive entertainment in automated vehicles is increasing. It has been demonstrated that synchronizing the visual content of virtual reality (VR) with the movements of the vehicle and matching the passenger's visual and experiential senses can enhance the immersive experience. In consideration of the preceding studies, this study proposes a novel immersive automatic driving system that prioritizes the vehicle's behavior during acceleration. The objective is to enable passengers to perceive a sense of hyper-acceleration that exceeds the actual acceleration, thereby facilitating a more immersive experience in automatic driving VR entertainment through the manipulation of vehicle behavior.
Taishi Sawabe, Yuki Shimizu 0004, Shohei Noguchi, Ryosuke Shigeto
HRI4