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Quantified Cycling Safety: Towards a Mobile Sensing Platform to Understand Perceived Safety of Cyclists
Andrii Matviienko, Florian Heller, Bastian Pfleging

CHI '21: The 2021 ACM CHI Conference on Human Factors in Computing Systems
Session: Late-Breaking Work Day 1 - E

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 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.

DOI:: https://doi.org/10.1145/3411763.3451678
WEB:: https://chi2021.acm.org/

Pre-recorded Presentations for the ACM CHI Virtual Conference on Human Factors in Computing Systems, May 8-13, 2021