Learning from cycling: discovering lessons learned from CyclingHCI

Andrii Matviienko; Mario Boot; Andreas Loecken; Bastian Pfleging; Markus Loechtefeld; Tamara von Sawitzky; Gian-Luca Savino; Miriam Sturdee; Josh Anders; Kristy Elizabeth Boyer; Stephen Brewster; Florian 'Floyd' Mueller

doi:10.1145/3613905.3636291

Learning from cycling: discovering lessons learned from CyclingHCI

Andrii Matviienko, Mario Boot, Andreas Loecken, Bastian Pfleging, Markus Loechtefeld, Tamara von Sawitzky, Gian-Luca Savino, Miriam Sturdee, Josh Anders, Kristy Elizabeth Boyer, Stephen Brewster, Florian 'Floyd' Mueller

School of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Cycling plays an essential role in sustainable mobility, health, and socializing. This workshop aims to collect and discuss the lessons learned from Cycling Human-Computer Interaction (CyclingHCI). For this, we will gather researchers and experts in the field to discuss what we learned from designing, building, and evaluating CyclingHCI systems. We will start the workshop with three lessons learned from CyclingHCI defined by the organizers and their experience in the field, which include (1) a lack of theories, tools, and perspectives, (2) knowledge about designing for safety and inclusive cycling, and (3) evaluation methods and environments. Taken together, with this work, we aim to promote interactive technology to get more people cycling, profiting from the many associated benefits.

Original language	English
Title of host publication	CHI EA '24: extended abstracts of the CHI conference on human factors in computing systems
Editors	Florian Floyd Mueller, Penny Kyburz, Julie R. Williamson, Corina Sas
Place of Publication	New York
Publisher	ACM
Pages	1-5
Number of pages	5
ISBN (Print)	9798400703317
DOIs	https://doi.org/10.1145/3613905.3636291
Publication status	Published - May 2024

Keywords

Bicycles
Cycling
Lessons learned
Urban interaction

Access to Document

10.1145/3613905.3636291

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Matviienko, A., Boot, M., Loecken, A., Pfleging, B., Loechtefeld, M., von Sawitzky, T., Savino, G.-L., Sturdee, M., Anders, J., Boyer, K. E., Brewster, S., & Mueller, F. F. (2024). Learning from cycling: discovering lessons learned from CyclingHCI. In F. F. Mueller, P. Kyburz, J. R. Williamson, & C. Sas (Eds.), CHI EA '24: extended abstracts of the CHI conference on human factors in computing systems (pp. 1-5). Article 480 ACM. https://doi.org/10.1145/3613905.3636291

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title = "Learning from cycling: discovering lessons learned from CyclingHCI",

abstract = "Cycling plays an essential role in sustainable mobility, health, and socializing. This workshop aims to collect and discuss the lessons learned from Cycling Human-Computer Interaction (CyclingHCI). For this, we will gather researchers and experts in the field to discuss what we learned from designing, building, and evaluating CyclingHCI systems. We will start the workshop with three lessons learned from CyclingHCI defined by the organizers and their experience in the field, which include (1) a lack of theories, tools, and perspectives, (2) knowledge about designing for safety and inclusive cycling, and (3) evaluation methods and environments. Taken together, with this work, we aim to promote interactive technology to get more people cycling, profiting from the many associated benefits.",

keywords = "Bicycles, Cycling, Lessons learned, Urban interaction",

author = "Andrii Matviienko and Mario Boot and Andreas Loecken and Bastian Pfleging and Markus Loechtefeld and {von Sawitzky}, Tamara and Gian-Luca Savino and Miriam Sturdee and Josh Anders and Boyer, {Kristy Elizabeth} and Stephen Brewster and Mueller, {Florian 'Floyd'}",

note = "Funding: A. L{\"o}cken is supported by the German Federal Ministry for Digital and Transport (BMDV) within the Automated and Connected Driving funding program under Grant No. 01MM20012J (SAVeNoW). M. Boot is supported by the NWO Smart Industries 2019 project Smart Connected Bikes, NWO number 18006.",

year = "2024",

month = may,

doi = "10.1145/3613905.3636291",

language = "English",

isbn = "9798400703317",

pages = "1--5",

editor = "Mueller, {Florian Floyd} and Penny Kyburz and Williamson, {Julie R.} and Corina Sas",

booktitle = "CHI EA '24: extended abstracts of the CHI conference on human factors in computing systems",

publisher = "ACM",

address = "United States",

}

Matviienko, A, Boot, M, Loecken, A, Pfleging, B, Loechtefeld, M, von Sawitzky, T, Savino, G-L, Sturdee, M, Anders, J, Boyer, KE, Brewster, S & Mueller, FF 2024, Learning from cycling: discovering lessons learned from CyclingHCI. in FF Mueller, P Kyburz, JR Williamson & C Sas (eds), CHI EA '24: extended abstracts of the CHI conference on human factors in computing systems., 480, ACM, New York, pp. 1-5. https://doi.org/10.1145/3613905.3636291

Learning from cycling: discovering lessons learned from CyclingHCI. / Matviienko, Andrii; Boot, Mario; Loecken, Andreas et al.
CHI EA '24: extended abstracts of the CHI conference on human factors in computing systems. ed. / Florian Floyd Mueller; Penny Kyburz; Julie R. Williamson; Corina Sas. New York: ACM, 2024. p. 1-5 480.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Pfleging, Bastian

AU - Loechtefeld, Markus

AU - von Sawitzky, Tamara

AU - Savino, Gian-Luca

AU - Sturdee, Miriam

AU - Anders, Josh

AU - Boyer, Kristy Elizabeth

AU - Brewster, Stephen

AU - Mueller, Florian 'Floyd'

N1 - Funding: A. Löcken is supported by the German Federal Ministry for Digital and Transport (BMDV) within the Automated and Connected Driving funding program under Grant No. 01MM20012J (SAVeNoW). M. Boot is supported by the NWO Smart Industries 2019 project Smart Connected Bikes, NWO number 18006.

PY - 2024/5

Y1 - 2024/5

N2 - Cycling plays an essential role in sustainable mobility, health, and socializing. This workshop aims to collect and discuss the lessons learned from Cycling Human-Computer Interaction (CyclingHCI). For this, we will gather researchers and experts in the field to discuss what we learned from designing, building, and evaluating CyclingHCI systems. We will start the workshop with three lessons learned from CyclingHCI defined by the organizers and their experience in the field, which include (1) a lack of theories, tools, and perspectives, (2) knowledge about designing for safety and inclusive cycling, and (3) evaluation methods and environments. Taken together, with this work, we aim to promote interactive technology to get more people cycling, profiting from the many associated benefits.

AB - Cycling plays an essential role in sustainable mobility, health, and socializing. This workshop aims to collect and discuss the lessons learned from Cycling Human-Computer Interaction (CyclingHCI). For this, we will gather researchers and experts in the field to discuss what we learned from designing, building, and evaluating CyclingHCI systems. We will start the workshop with three lessons learned from CyclingHCI defined by the organizers and their experience in the field, which include (1) a lack of theories, tools, and perspectives, (2) knowledge about designing for safety and inclusive cycling, and (3) evaluation methods and environments. Taken together, with this work, we aim to promote interactive technology to get more people cycling, profiting from the many associated benefits.

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DO - 10.1145/3613905.3636291

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SN - 9798400703317

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EP - 5

BT - CHI EA '24: extended abstracts of the CHI conference on human factors in computing systems

A2 - Mueller, Florian Floyd

A2 - Kyburz, Penny

A2 - Williamson, Julie R.

A2 - Sas, Corina

PB - ACM

CY - New York

ER -

Matviienko A, Boot M, Loecken A, Pfleging B, Loechtefeld M, von Sawitzky T et al. Learning from cycling: discovering lessons learned from CyclingHCI. In Mueller FF, Kyburz P, Williamson JR, Sas C, editors, CHI EA '24: extended abstracts of the CHI conference on human factors in computing systems. New York: ACM. 2024. p. 1-5. 480 Epub 2024 May 11. doi: 10.1145/3613905.3636291

Learning from cycling: discovering lessons learned from CyclingHCI

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Keywords

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