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

Andrii Matviienko, Bastian Pfleging, Florian Heller

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

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Samenvatting

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.
Originele taal-2Engels
TitelCHI Conference on Human Factors in Computing Systems Extended Abstracts (CHI ’21 Extended Abstracts)
Plaats van productieNew York, NY, USA
UitgeverijAssociation for Computing Machinery, Inc
Aantal pagina's6
ISBN van elektronische versie78-1-4503-8095-9
DOI's
StatusGepubliceerd - 8 mei 2021
EvenementACM SIGCHI Conference on Human Factors in Computing Systems, CHI 2021 - Yokohama, Japan
Duur: 8 mei 202113 mei 2021
https://chi2021.acm.org/

Congres

CongresACM SIGCHI Conference on Human Factors in Computing Systems, CHI 2021
Verkorte titelCHI 2021
LandJapan
StadYokohama
Periode8/05/2113/05/21
Internet adres

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