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

Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

6 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 language	English
Title of host publication	Proceedings of MUM 2022, the 21st International Conference on Mobile and Ubiquitous Multimedia
Editors	Tanja Doring, Susanne Boll, Ashley Colley, Augusto Esteves, Joao Guerreiro
Publisher	Association for Computing Machinery
Pages	189-199
Number of pages	11
ISBN (Electronic)	9781450398213
DOIs	https://doi.org/10.1145/3568444.3568451
Publication status	Published - 27 Nov 2022
Event	21st International Conference on Mobile and Ubiquitous Multimedia, MUM 2022 - Lisbon, Portugal Duration: 27 Nov 2022 → 30 Nov 2022

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	21st International Conference on Mobile and Ubiquitous Multimedia, MUM 2022
Country/Territory	Portugal
City	Lisbon
Period	27.11.2022 → 30.11.2022

Keywords

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

Access to Document

10.1145/3568444.3568451

Cite this

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 (Eds.), Proceedings of MUM 2022, the 21st International Conference on Mobile and Ubiquitous Multimedia (pp. 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. editor / Tanja Doring ; Susanne Boll ; Ashley Colley ; Augusto Esteves ; Joao Guerreiro. Association for Computing Machinery, 2022. pp. 189-199 (ACM International Conference Proceeding Series).

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title = "Self-Balancing Bicycles: Qualitative Assessment and Gaze Behavior Evaluation",

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.",

keywords = "automated driving, Cyclist safety, eye tracking, gaze behavior, thematic analysis, user acceptance, user study",

author = "Philipp Wintersberger and Ambika Shahu and Johanna Reisinger and Fatemeh Alizadeh and Florian Michahelles",

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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doi = "10.1145/3568444.3568451",

language = "English",

series = "ACM International Conference Proceeding Series",

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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 (eds), Proceedings of MUM 2022, the 21st International Conference on Mobile and Ubiquitous Multimedia. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 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. ed. / Tanja Doring; Susanne Boll; Ashley Colley; Augusto Esteves; Joao Guerreiro. Association for Computing Machinery, 2022. p. 189-199 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

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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.

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KW - user acceptance

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PB - Association for Computing Machinery

Y2 - 27 November 2022 through 30 November 2022

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, editors, Proceedings of MUM 2022, the 21st International Conference on Mobile and Ubiquitous Multimedia. Association for Computing Machinery. 2022. p. 189-199. (ACM International Conference Proceeding Series). doi: 10.1145/3568444.3568451

Self-Balancing Bicycles: Qualitative Assessment and Gaze Behavior Evaluation

Abstract

Publication series

Conference

Keywords

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AITentive - AITentive: AI supported Attentive User Interfaces

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Self-Balancing Bicycles: Qualitative Assessment and Gaze Behavior Evaluation

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Projects

AITentive - AITentive: AI supported Attentive User Interfaces

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