Ambient bot: Delivering daily casual information through eye contact with an intimate virtual creature

Kota Gushima, Hina Akasaki, Tatsuo Nakajima

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    4 Citations (Scopus)

    Abstract

    This paper proposes Ambient Bot, which is a notification service that ambiently offers some daily information to users. A user, who uses Ambient Bot, wears a lightweight head-mounted display (HMD) that shows the real space via a camera attached to the HMD. The user can see a virtual creature in the real space with augmented reality technologies. The creature speaks and visualizes daily information that the user may be interested in only when he/she focuses his/her attention on the creature. This paper presents an overview of and design approach to Ambient Bot, then describes the prototype system and its use case analysis.

    Original languageEnglish
    Title of host publicationProceedings of the 21st International Academic Mindtrek Conference, AcademicMindtrek 2017
    PublisherAssociation for Computing Machinery, Inc
    Volume2017-January
    ISBN (Electronic)9781450354264
    DOIs
    Publication statusPublished - 2017 Sep 20
    Event21st International Academic Mindtrek Conference, AcademicMindtrek 2017 - Tampere, Finland
    Duration: 2017 Sep 202017 Sep 21

    Other

    Other21st International Academic Mindtrek Conference, AcademicMindtrek 2017
    CountryFinland
    CityTampere
    Period17/9/2017/9/21

      Fingerprint

    Keywords

    • Ambient Notification
    • Augmented Reality
    • Head-Mounted Display
    • Prototype Implementation
    • Wearable Interface

    ASJC Scopus subject areas

    • Software
    • Computer Science Applications
    • Human-Computer Interaction

    Cite this

    Gushima, K., Akasaki, H., & Nakajima, T. (2017). Ambient bot: Delivering daily casual information through eye contact with an intimate virtual creature. In Proceedings of the 21st International Academic Mindtrek Conference, AcademicMindtrek 2017 (Vol. 2017-January). Association for Computing Machinery, Inc. https://doi.org/10.1145/3131085.3131094