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How drivers respond to visual vs. auditory information in advisory traffic information systems

Wang, Minjuan, 1982 (author)
Chalmers tekniska högskola,Chalmers University of Technology
Liao, Yuan, 1991 (author)
Chalmers tekniska högskola,Chalmers University of Technology
Lyckvi, Sus, 1970 (author)
Chalmers tekniska högskola,Chalmers University of Technology
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Chen, Fang, 1963 (author)
Chalmers tekniska högskola,Chalmers University of Technology
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 (creator_code:org_t)
2020
2020
English.
In: Behaviour and Information Technology. - 1362-3001 .- 0144-929X. ; 39:12, s. 1308-1319
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • To date, many efforts have been made to explore how to support driver's decision-making process with advisory information. Previous studies mainly focus on a single modality, e.g. the visual, auditory or haptic modality. In contrast, this study compares data from two simulator studies with 50 participants in total, where the visual vs. the auditory modality was used to present the same type of advisory traffic information under the same driving scenarios. Hereby we compare the effect of these two modalities on drivers' responses and driving performance. Our findings indicate that modality influences the drivers' behaviour patterns significantly. Visual information helps drivers to drive more accurately and efficiently, whereas auditory information supports quicker responses. This suggests that there are potential benefits in applying both modalities in tandem, as they complement each other. Correspondingly, we present several design recommendations on Advisory Traffic Information Systems.

Subject headings

SAMHÄLLSVETENSKAP  -- Ekonomi och näringsliv -- Företagsekonomi (hsv//swe)
SOCIAL SCIENCES  -- Economics and Business -- Business Administration (hsv//eng)
NATURVETENSKAP  -- Data- och informationsvetenskap -- Människa-datorinteraktion (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Human Computer Interaction (hsv//eng)
NATURVETENSKAP  -- Data- och informationsvetenskap -- Datorseende och robotik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Vision and Robotics (hsv//eng)

Keyword

in-vehicle design
Advisory traffic information system
auditory modality
visual modality
driver behaviour

Publication and Content Type

art (subject category)
ref (subject category)

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