Quantified Cycling Safety: Towards a Mobile Sensing Platform to Understand Perceived Safety of Cyclists

Andrii Matviienko, Bastian Pfleging, Florian Heller

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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Abstract

Today's level of cyclists' road safety is primarily estimated using accident reports and self-reported measures. However, the former is focused on post-accident situations and the latter covers only subjective input. In our work, we aim to build a full picture of cyclists' safety assessment via a two-dimensional taxonomy, which covers data source (internal/external) and type of data source (objective/subjective). Based on this taxonomy, we present a mobile sensing concept for quantified cycling safety that fills the identified methodological gap by collecting data about body movements and physiological data. Finally, we outline a list of use cases and future research directions within the scope of the proposed taxonomy and sensing concept.
Original languageEnglish
Title of host publicationCHI Conference on Human Factors in Computing Systems Extended Abstracts (CHI ’21 Extended Abstracts)
Place of PublicationNew York, NY, USA
PublisherAssociation for Computing Machinery, Inc
Number of pages6
ISBN (Electronic)78-1-4503-8095-9
DOIs
Publication statusAccepted/In press - 2021
EventACM SIGCHI Conference on Human Factors in Computing Systems, CHI 2021 - Yokohama, Japan
Duration: 8 May 202113 May 2021
https://chi2021.acm.org/

Conference

ConferenceACM SIGCHI Conference on Human Factors in Computing Systems, CHI 2021
Abbreviated titleCHI 2021
CountryJapan
CityYokohama
Period8/05/2113/05/21
Internet address

Keywords

  • Cyclist safety taxonomy
  • on-body sensing
  • head movements
  • perceived road safety

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