Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/33880
Title: | Quantified Cycling Safety: Towards a Mobile Sensing Platform to Understand Perceived Safety of Cyclists | Authors: | Matviienko, Andrii HELLER, Florian Pfleging, Bastian |
Issue Date: | 2021 | Publisher: | ACM | Source: | CHI EA '21: Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems, (Art N° 262). | 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. | Keywords: | CCS Concepts: • Information Interfaces and Presentation-Miscellaneous; Additional Key Words and Phrases: cyclist safety;crossing decision;head movements;perceived safety | Document URI: | http://hdl.handle.net/1942/33880 | ISBN: | 9781450380959 | DOI: | 10.1145/3411763.3451678 | ISI #: | 000759178501160 | Category: | C1 | Type: | Proceedings Paper | Validations: | ecoom 2023 |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
3411763.3451678.pdf | Published version | 1.51 MB | Adobe PDF | View/Open |
author_copy.pdf | Peer-reviewed author version | 1.2 MB | Adobe PDF | View/Open |
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