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  • AAM_cycling_CHI

    Rights statement: © ACM, 2021. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in CHI EA '21: Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems http://doi.acm.org/10.1145/3411763.3441316

    Accepted author manuscript, 6.15 MB, PDF document

    Available under license: CC BY: Creative Commons Attribution 4.0 International License

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Cycling@CHI: Towards a Research Agenda for HCI in the Bike Lane

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Published
  • Gian Luca Savino
  • Tamara von Sawitzky
  • Andrii Matviienko
  • Miriam Sturdee
  • Paweł W. Woźniak
  • Markus Löchtefeld
  • Andrew L. Kun
  • Andreas Riener
  • Jonna Häkkilä
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Publication date8/05/2021
Host publicationExtended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems, CHI EA 2021
Place of PublicationNew York
PublisherACM
Pages107:1-107:5
Number of pages5
ISBN (electronic)9781450380959
<mark>Original language</mark>English

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Abstract

In this workshop, we will explore and discuss future developments in mobile user-interfaces for cyclists and users of similar interfaces or services. We highlight the challenge of balancing safety and ecological validity in experiments, and how novel and improved evaluation methods can improve the current situation. We aim to bring together researchers with a strong background in designing and evaluating novel user interfaces in the domain of bicycles and mobility, as well as practitioners who build consumer products in that domain. The workshop’s goal is to explore novel ways of designing and evaluating user interfaces for cyclists and similar users when it comes to interacting with mobile devices and services on the ride.

Bibliographic note

© ACM, 2021. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in CHI EA '21: Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems http://doi.acm.org/10.1145/3411763.3441316