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Quantified cycling ...
Quantified cycling safety : Towards a mobile sensing platform to understand perceived safety of cyclists
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- Matviienko, Andrii (författare)
- Technical University of Darmstadt, Germany
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- Heller, Florian (författare)
- Hasselt University, Belgium
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- Pfleging, Bastian (författare)
- Eindhoven University of Technology, Netherlands
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(creator_code:org_t)
- 2021-05-08
- 2021
- Engelska.
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Ingår i: Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems. - New York, NY, USA : Association for Computing Machinery (ACM). ; , s. 1-6
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- 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.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Människa-datorinteraktion (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Human Computer Interaction (hsv//eng)
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)