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.
| Original language | English |
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| Title of host publication | CHI Conference on Human Factors in Computing Systems Extended Abstracts (CHI ’21 Extended Abstracts) |
| Place of Publication | New York, NY, USA |
| Publisher | Association for Computing Machinery, Inc |
| Number of pages | 6 |
| ISBN (Electronic) | 9781450380959 |
| DOIs | |
| Publication status | Published - 8 May 2021 |
| Event | 2021 CHI Conference on Human Factors in Computing Systems, CHI 2021 - Virtual, Online, Yokohama, Japan Duration: 8 May 2021 → 13 May 2021 https://chi2021.acm.org/ |
Publication series
| Name | Conference on Human Factors in Computing Systems - Proceedings |
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Conference
| Conference | 2021 CHI Conference on Human Factors in Computing Systems, CHI 2021 |
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| Abbreviated title | CHI 2021 |
| Country/Territory | Japan |
| City | Yokohama |
| Period | 8/05/21 → 13/05/21 |
| Other | "Making Waves, Combining Strengths" |
| Internet address |
Keywords
- Cyclist safety taxonomy
- head movements
- on-body sensing
- perceived road safety