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Chenhui Chen

dblp:199/2931 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2017
—ORCID · none

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

Human-computer interaction and ubiquitous computing · 1

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
Interaction techniques and input · 44% Ubiquitous computing and smart environments · 44% Human-robot interaction · 13%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Interaction techniques and input › non-visual interaction › auditory interaction
auditory display
0.312017
Using Advisory 3D Sound Cues to Improve Drivers' Performance and Situation Awareness · CHI 2017
Ubiquitous computing and smart environments › urban computing
intelligent transportation
0.312017
Using Advisory 3D Sound Cues to Improve Drivers' Performance and Situation Awareness · CHI 2017

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

driving simulator study · 0.3
YearPublicationVenuePosition
2017 Using Advisory 3D Sound Cues to Improve Drivers' Performance and Situation Awareness
abstract
Within vehicle Human Machine Interface design, visual displays are predominant, taking up more and more of the visual channel for each new system added to the car, e.g. navigation systems, blind spot information and forward collision warnings. Sounds however, are mainly used to alert or warn drivers together with visual information. In this study we investigated the design of auditory displays for advisory information, by designing a 3D auditory advisory traffic information system (3DAATIS) which was evaluated in a drive simulator study with 30 participants. Our findings indicate that overall, drivers' performance and situation awareness improved when using this system. But, more importantly, the results also point towards the advantages and limitations of the use of advisory 3D-sounds in cars, e.g. attention capture vs. limited auditory resolution. These findings are discussed and expressed as design implications.
Min Juan Wang, Sus Lundgren, Chenhui Chen, Palle Dahlstedt, Fang Chen 0006
CHI3