TY - GEN
T1 - Self-Balancing Bicycles
T2 - 21st International Conference on Mobile and Ubiquitous Multimedia, MUM 2022
AU - Wintersberger, Philipp
AU - Shahu, Ambika
AU - Reisinger, Johanna
AU - Alizadeh, Fatemeh
AU - Michahelles, Florian
N1 - Funding Information:
This publication is supported by the “Mobility of the Future” program of the Austrian Research Promotion Agency (FFG) under Grant No. FO999893961 (Eternity Bike).
Publisher Copyright:
© 2022 Owner/Author.
PY - 2022/11/27
Y1 - 2022/11/27
N2 - 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.
AB - 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.
KW - automated driving
KW - Cyclist safety
KW - eye tracking
KW - gaze behavior
KW - thematic analysis
KW - user acceptance
KW - user study
UR - https://www.scopus.com/pages/publications/85145875468
U2 - 10.1145/3568444.3568451
DO - 10.1145/3568444.3568451
M3 - Conference contribution
AN - SCOPUS:85145875468
T3 - ACM International Conference Proceeding Series
SP - 189
EP - 199
BT - Proceedings of MUM 2022, the 21st International Conference on Mobile and Ubiquitous Multimedia
A2 - Doring, Tanja
A2 - Boll, Susanne
A2 - Colley, Ashley
A2 - Esteves, Augusto
A2 - Guerreiro, Joao
PB - Association for Computing Machinery
Y2 - 27 November 2022 through 30 November 2022
ER -