Self-Balancing Bicycles: Qualitative Assessment and Gaze Behavior Evaluation

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

doi:10.1145/3568444.3568451

Self-Balancing Bicycles: Qualitative Assessment and Gaze Behavior Evaluation

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

Publikation: Beitrag in Buch/Bericht/Tagungsband › Konferenzbeitrag › Begutachtung

6 Zitate (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.

Originalsprache	Englisch
Titel	Proceedings of MUM 2022, the 21st International Conference on Mobile and Ubiquitous Multimedia
Redakteure/-innen	Tanja Doring, Susanne Boll, Ashley Colley, Augusto Esteves, Joao Guerreiro
Herausgeber (Verlag)	Association for Computing Machinery
Seiten	189-199
Seitenumfang	11
ISBN (elektronisch)	9781450398213
DOIs	https://doi.org/10.1145/3568444.3568451
Publikationsstatus	Veröffentlicht - 27 Nov. 2022
Veranstaltung	21st International Conference on Mobile and Ubiquitous Multimedia, MUM 2022 - Lisbon, Portugal Dauer: 27 Nov. 2022 → 30 Nov. 2022

Publikationsreihe

Name	ACM International Conference Proceeding Series

Konferenz

Konferenz	21st International Conference on Mobile and Ubiquitous Multimedia, MUM 2022
Land/Gebiet	Portugal
Ort	Lisbon
Zeitraum	27.11.2022 → 30.11.2022

Zugriff auf Dokument

10.1145/3568444.3568451

Andere Dateien und Links

Link zur Publikation in Scopus

AITentive - AITentive: AI supported Attentive User Interfaces
Wintersberger, P. (Leitende(r) Forscher/-in) & Wang, Y. (Weitere Forschende)
FWF - Einzelprojektförderung
01.01.2023 → 31.12.2025
Projekt: Forschungsprojekt

Zitieren

Wintersberger, P., Shahu, A., Reisinger, J., Alizadeh, F., & Michahelles, F. (2022). Self-Balancing Bicycles: Qualitative Assessment and Gaze Behavior Evaluation. in T. Doring, S. Boll, A. Colley, A. Esteves, & J. Guerreiro (Hrsg.), Proceedings of MUM 2022, the 21st International Conference on Mobile and Ubiquitous Multimedia (S. 189-199). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3568444.3568451

Wintersberger, Philipp ; Shahu, Ambika ; Reisinger, Johanna et al. / Self-Balancing Bicycles : Qualitative Assessment and Gaze Behavior Evaluation. Proceedings of MUM 2022, the 21st International Conference on Mobile and Ubiquitous Multimedia. Hrsg. / Tanja Doring ; Susanne Boll ; Ashley Colley ; Augusto Esteves ; Joao Guerreiro. Association for Computing Machinery, 2022. S. 189-199 (ACM International Conference Proceeding Series).

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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.",

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note = "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: {\textcopyright} 2022 Owner/Author.; 21st International Conference on Mobile and Ubiquitous Multimedia, MUM 2022 ; Conference date: 27-11-2022 Through 30-11-2022",

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Wintersberger, P, Shahu, A, Reisinger, J, Alizadeh, F & Michahelles, F 2022, Self-Balancing Bicycles: Qualitative Assessment and Gaze Behavior Evaluation. in T Doring, S Boll, A Colley, A Esteves & J Guerreiro (Hrsg.), Proceedings of MUM 2022, the 21st International Conference on Mobile and Ubiquitous Multimedia. ACM International Conference Proceeding Series, Association for Computing Machinery, S. 189-199, 21st International Conference on Mobile and Ubiquitous Multimedia, MUM 2022, Lisbon, Portugal, 27.11.2022. https://doi.org/10.1145/3568444.3568451

Self-Balancing Bicycles: Qualitative Assessment and Gaze Behavior Evaluation. / Wintersberger, Philipp; Shahu, Ambika; Reisinger, Johanna et al.
Proceedings of MUM 2022, the 21st International Conference on Mobile and Ubiquitous Multimedia. Hrsg. / Tanja Doring; Susanne Boll; Ashley Colley; Augusto Esteves; Joao Guerreiro. Association for Computing Machinery, 2022. S. 189-199 (ACM International Conference Proceeding Series).

Publikation: Beitrag in Buch/Bericht/Tagungsband › Konferenzbeitrag › Begutachtung

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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.

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ER -

Wintersberger P, Shahu A, Reisinger J, Alizadeh F, Michahelles F. Self-Balancing Bicycles: Qualitative Assessment and Gaze Behavior Evaluation. in Doring T, Boll S, Colley A, Esteves A, Guerreiro J, Hrsg., Proceedings of MUM 2022, the 21st International Conference on Mobile and Ubiquitous Multimedia. Association for Computing Machinery. 2022. S. 189-199. (ACM International Conference Proceeding Series). doi: 10.1145/3568444.3568451

Self-Balancing Bicycles: Qualitative Assessment and Gaze Behavior Evaluation

Abstract

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