Self-Balancing Bicycles: Qualitative Assessment and Gaze Behavior Evaluation

Philipp Wintersberger, Ambika Shahu, Johanna Reisinger, Fatemeh Alizadeh, Florian Michahelles

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

2 Citations (Scopus)

Abstract

Recently, researchers have proposed to develop automated self-balancing functions for bicycles to increase road safety and convenience. However, no study has investigated how self-balancing bicycles are perceived by potential users in a natural urban environment. Therefore, we conducted a field study using a modified "parent-child tandem"in which both the front and back seat passengers could share control of the riding dynamics. An experimenter in the back seat acted as an automated system, and participants in the front seat experienced the ride while responding to text messages on their smartphones. Based on interviews, video observation, and eye-Tracking data, the results highlight potential use cases for self-balancing bicycles and uncover that trust and multitasking freedom can lead to similar problems as in automated cars.

Original languageEnglish
Title of host publicationProceedings of MUM 2022, the 21st International Conference on Mobile and Ubiquitous Multimedia
EditorsTanja Doring, Susanne Boll, Ashley Colley, Augusto Esteves, Joao Guerreiro
PublisherAssociation for Computing Machinery
Pages189-199
Number of pages11
ISBN (Electronic)9781450398213
DOIs
Publication statusPublished - 27 Nov 2022
Event21st International Conference on Mobile and Ubiquitous Multimedia, MUM 2022 - Lisbon, Portugal
Duration: 27 Nov 202230 Nov 2022

Publication series

NameACM International Conference Proceeding Series

Conference

Conference21st International Conference on Mobile and Ubiquitous Multimedia, MUM 2022
Country/TerritoryPortugal
CityLisbon
Period27.11.202230.11.2022

Keywords

  • automated driving
  • Cyclist safety
  • eye tracking
  • gaze behavior
  • thematic analysis
  • user acceptance
  • user study

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