Designing the expressivity of multiple smart things for intuitive and unobtrusive interactions

  • Yaliang Chuang

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    Abstract

    Connected products and systems are becoming popular, but they seldom provide direct and intuitive communication to the users. In this study, we applied Disney's animation principles to design the expressivity with LED lights and speakers commonly embedded in electronic devices. We explored the subtle transitions of brightness and controlled the timing to compose individual and system-level behaviors with multiple devices. The designs were evaluated and improved through three iterations. In the main study, we recruited 16 designer participants to investigate whether lights and sounds could be intuitively interpreted as what the system wanted to convey. The result shows that group light behaviors could evoke meanings that are highly similar to the intents of the system. When the acoustic accompaniments were provided, participants could better perceive the presence of devices. We concluded with six sets of light behaviors that are capable of expressing smart devices and systems' intents intuitively and unobtrusively.

    Original languageEnglish
    Title of host publicationDIS 2020 - Proceedings of the 2020 ACM Designing Interactive Systems Conference
    PublisherAssociation for Computing Machinery, Inc.
    Pages2007-2019
    Number of pages13
    ISBN (Electronic)9781450369749
    DOIs
    Publication statusPublished - 3 Jul 2020
    Event2020 ACM Conference on Designing Interactive Systems, DIS 2020: DIS'20 - Netherlands, Eindhoven, Netherlands
    Duration: 6 Jul 202010 Jul 2020
    Conference number: DIS'20

    Conference

    Conference2020 ACM Conference on Designing Interactive Systems, DIS 2020
    Abbreviated titleDIS '20
    Country/TerritoryNetherlands
    CityEindhoven
    Period6/07/2010/07/20

    Funding

    I want to thank Ya-Han Lee and Yoga Liu for helping design and make the prototypes, our anonymous participants, two external researchers, and Lin-Lin Chen, Suzanne Thomas, and reviewers for their helpful comments. The work is supported in part by the Ministry of Science and Technology of Taiwan (MOST 108-2633-E-002-001), National Taiwan University (NTU-108L104039), and Intel Corporation.

    FundersFunder number
    National Taiwan UniversityNTU-108L104039

      Keywords

      • Direct interaction
      • Feedback
      • Feedforward
      • Internet of things
      • Semantic expression
      • Situation awareness

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