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Exploring Human: eBike Interaction to Support Rider Autonomy

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Published:15 October 2016Publication History

ABSTRACT

eBikes contribute to the future of personal transport while offering physical activity and wellbeing benefits. However, there has been little exploration of the way eBikes interact with humans within the field of human-computer interaction (HCI). In exploring this opportunity we augmented existing eBike functionality to create "Ava, the eBike", a prototype aiming to support a playful eBike riding experience by supporting the rider's autonomy. We used inherent cycling body movement to playfully interface with the eBike's functionality and fuse the rider's body to Ava's, as a way of harmonising bodily interaction with the eBike in a continuous expression. Through this offering playful bodily interactions while reducing interaction obstacles. Furthermore, we leveraged LEDs and multiple sounds creating a flexible environment in which the rider can choose the emitting sound when accelerating. Our work will contribute to designing playful interactive technology that supports users' autonomy while augmenting their bodily capabilities, and expanding the field of human-eBike interaction.

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    • Published in

      cover image ACM Conferences
      CHI PLAY Companion '16: Proceedings of the 2016 Annual Symposium on Computer-Human Interaction in Play Companion Extended Abstracts
      October 2016
      388 pages
      ISBN:9781450344586
      DOI:10.1145/2968120

      Copyright © 2016 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 15 October 2016

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      CHI PLAY Companion '16 Paper Acceptance Rate35of50submissions,70%Overall Acceptance Rate421of1,386submissions,30%

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