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Comparing unimodal lane keeping cues for child cyclists
OFFIS - Institute for IT Oldenburg, Germany.ORCID iD: 0000-0002-6571-0623
University of Oldenburg, Oldenburg, Germany.
University of Glasgow, Glasgow, United Kingdom.
OFFIS - Institute for IT Oldenburg, Germany.
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2019 (English)In: MUM 2019 - 18th International Conference on Mobile and Ubiquitous Multimedia, Proceedings, Association for Computing Machinery (ACM) , 2019, article id 3365632Conference paper, Published paper (Refereed)
Abstract [en]

Child cyclists are at greater risk for car-to-cyclist accidents than adults. This is in part due to developmental differences in the motor and perceptual-motor abilities of children and adults, and missing cycling infrastructure. To address these issues, we examine unimodal and projection-based techniques to support children in maintaining a good lane position in the absence of bicycle lanes. We present safety-relevant information using unimodal cues: vibration on the handlebar, ambient light in a cycle helmet, projected heads-up display indicators, and on-road laser projection. As a first step, we interviewed twelve children about their cycling issues. We then conducted a lab experiment (N=25) in a bicycle simulator using the unimodal cues in the presence of a visual search task, followed by a controlled test-track experiment (N=15). We found that cycling performance with lane keeping cues was comparable to situations without them, however children found them helpful and expressed subjective preferences for the LED helmet and vibration on the handlebar.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM) , 2019. article id 3365632
Keywords [en]
Child cyclists, Cycling safety, Lane keeping, Unimodal feedback
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:kth:diva-335655DOI: 10.1145/3365610.3365632ISI: 000716941800014Scopus ID: 2-s2.0-85076819134OAI: oai:DiVA.org:kth-335655DiVA, id: diva2:1795271
Conference
18th International Conference on Mobile and Ubiquitous Multimedia, MUM 2019, Pisa, Italy, Nov 26 2019
Note

Part of ISBN 9781450376242

QC 20230907

Available from: 2023-09-07 Created: 2023-09-07 Last updated: 2024-08-29Bibliographically approved

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Matviienko, Andrii

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf