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A machine learning: an example of HCI prototyping with design fiction

Published:26 October 2014Publication History

ABSTRACT

This video - A Machine. Learning - adopts a 'research through design' approach [4] to producing a design fiction prototype [2,7]. By using a research through design approach that is grounded in the practical experience of creating a design fiction we contribute practical insights about the process of creating a design fiction for HCI. Reflecting on the production of the video we explore challenges and opportunities presented by the design fiction method when it is applied to near-future HCI scenarios. The video depicts the story of Manu and his new artificially intelligent portable device. In the paper we consider the video, using it as a means to contrast design fiction with other approaches to prototyping; we describe the story, content and style of the video; finally we reflect on the production of the video (writing, filming and editing processes) in order to offer practical insights to the HCI community, with regards to prototyping using design fiction and film.

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References

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    • Published in

      cover image ACM Other conferences
      NordiCHI '14: Proceedings of the 8th Nordic Conference on Human-Computer Interaction: Fun, Fast, Foundational
      October 2014
      361 pages
      ISBN:9781450325424
      DOI:10.1145/2639189

      Copyright © 2014 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: 26 October 2014

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      Acceptance Rates

      NordiCHI '14 Paper Acceptance Rate89of361submissions,25%Overall Acceptance Rate379of1,572submissions,24%

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