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Quantified Cycling Safety: Towards a Mobile Sensing Platform to Understand Perceived Safety of Cyclists
Book Contribution - Book Chapter Conference Contribution
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.
Book: EXTENDED ABSTRACTS OF THE 2021 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI'21)
Pages: 1 - 6
Number of pages: 10
Keywords:CCS Concepts: • Information Interfaces and Presentation-Miscellaneous, Additional Key Words and Phrases: cyclist safety, crossing decision, head movements, perceived safety