TY  - CONF
A1  - Matviienko, Andrii
A1  - Heller, Florian
A1  - Pfleging, Bastian
T1  - Quantified Cycling Safety: Towards a mobile sensing platform to understand perceived safety of cyclists
T2  - Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems
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.
KW  - cyclist safety
KW  - crossing decision
KW  - head movements
KW  - perceived safety
Y1  - 2021
UR  - https://opus.bibliothek.fh-aachen.de/opus4/frontdoor/index/index/docId/12558
SN  - 97814503809592105
N1  - CHI '21: CHI Conference on Human Factors in Computing Systems, Yokohama, Japan, May 8 - 13, 202
PB  - ACM
CY  - New York, NY
ER  -