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

Andrii Matviienko; Bastian Pfleging; Florian Heller

doi:10.1145/3411763.3451678

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

Andrii Matviienko, Bastian Pfleging, Florian Heller

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Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

19 Citaten (Scopus)

91 Downloads (Pure)

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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 relies on subjective input. In our work, we aim to extend the landscape of cyclists' safety assessment methods via a two-dimensional taxonomy, which covers data source (internal/external) and type of measurement (objective/subjective). Based on this taxonomy, we classify existing methods and 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-2	Engels
Titel	CHI Conference on Human Factors in Computing Systems Extended Abstracts (CHI ’21 Extended Abstracts)
Plaats van productie	New York, NY, USA
Uitgeverij	Association for Computing Machinery, Inc
Aantal pagina's	6
ISBN van elektronische versie	9781450380959
DOI's	https://doi.org/10.1145/3411763.3451678
Status	Gepubliceerd - 8 mei 2021
Evenement	2021 CHI Conference on Human Factors in Computing Systems, CHI 2021 - Virtual, Online, Yokohama, Japan Duur: 8 mei 2021 → 13 mei 2021 https://chi2021.acm.org/

Publicatie series

Naam	Conference on Human Factors in Computing Systems - Proceedings

Congres

Congres	2021 CHI Conference on Human Factors in Computing Systems, CHI 2021
Verkorte titel	CHI 2021
Land/Regio	Japan
Stad	Yokohama
Periode	8/05/21 → 13/05/21
Internet adres	https://chi2021.acm.org/

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10.1145/3411763.3451678

Quantified Cycling Safety - Author-prepared versionFinale auteursversie , 1,17 MBLicentie: Anders

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Matviienko, A., Pfleging, B., & Heller, F. (2021). Quantified Cycling Safety: Towards a Mobile Sensing Platform to Understand Perceived Safety of Cyclists. In CHI Conference on Human Factors in Computing Systems Extended Abstracts (CHI ’21 Extended Abstracts) (Conference on Human Factors in Computing Systems - Proceedings). Association for Computing Machinery, Inc. https://doi.org/10.1145/3411763.3451678

Matviienko, Andrii ; Pfleging, Bastian ; Heller, Florian. / Quantified Cycling Safety: Towards a Mobile Sensing Platform to Understand Perceived Safety of Cyclists. CHI Conference on Human Factors in Computing Systems Extended Abstracts (CHI ’21 Extended Abstracts). New York, NY, USA : Association for Computing Machinery, Inc, 2021. (Conference on Human Factors in Computing Systems - Proceedings).

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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 relies on subjective input. In our work, we aim to extend the landscape of cyclists' safety assessment methods via a two-dimensional taxonomy, which covers data source (internal/external) and type of measurement (objective/subjective). Based on this taxonomy, we classify existing methods and 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.",

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Matviienko, A, Pfleging, B & Heller, F 2021, Quantified Cycling Safety: Towards a Mobile Sensing Platform to Understand Perceived Safety of Cyclists. in CHI Conference on Human Factors in Computing Systems Extended Abstracts (CHI ’21 Extended Abstracts). Conference on Human Factors in Computing Systems - Proceedings, Association for Computing Machinery, Inc, New York, NY, USA, 2021 CHI Conference on Human Factors in Computing Systems, CHI 2021, Yokohama, Japan, 8/05/21. https://doi.org/10.1145/3411763.3451678

Quantified Cycling Safety: Towards a Mobile Sensing Platform to Understand Perceived Safety of Cyclists. / Matviienko, Andrii; Pfleging, Bastian; Heller, Florian.
CHI Conference on Human Factors in Computing Systems Extended Abstracts (CHI ’21 Extended Abstracts). New York, NY, USA: Association for Computing Machinery, Inc, 2021. (Conference on Human Factors in Computing Systems - Proceedings).

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

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AU - Pfleging, Bastian

AU - Heller, Florian

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N2 - 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 relies on subjective input. In our work, we aim to extend the landscape of cyclists' safety assessment methods via a two-dimensional taxonomy, which covers data source (internal/external) and type of measurement (objective/subjective). Based on this taxonomy, we classify existing methods and 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.

AB - 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 relies on subjective input. In our work, we aim to extend the landscape of cyclists' safety assessment methods via a two-dimensional taxonomy, which covers data source (internal/external) and type of measurement (objective/subjective). Based on this taxonomy, we classify existing methods and 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.

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Matviienko A, Pfleging B, Heller F. Quantified Cycling Safety: Towards a Mobile Sensing Platform to Understand Perceived Safety of Cyclists. In CHI Conference on Human Factors in Computing Systems Extended Abstracts (CHI ’21 Extended Abstracts). New York, NY, USA: Association for Computing Machinery, Inc. 2021. (Conference on Human Factors in Computing Systems - Proceedings). doi: 10.1145/3411763.3451678

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

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