HoloMoL

Human memory augmentation with mixed-reality technologies

Yuki Yamada, Keisuke Irie, Kota Gushima, Fumiko Ishizawa, Mohammed Al Sada, Tatsuo Nakajima

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

    2 Citations (Scopus)

    Abstract

    HoloMoL is a platform that helps us memorize different types of information by combining the method of loci memorization technique and mixed reality contents delivered through Microsoft HoloLens. This paper presents an overview of HoloMoL's design concept and implementation. To further understand our approach, we started by carrying out an exploratory study to investigate its usability aspects. Beside various interaction insights, results mainly indicated that participants utilized multiple memorization techniques that they thought worked best for intended information. Furthermore, we present some discussions about a participatory design workshop to exploit HoloMoL use cases. The results indicated a wider range of possible HoloMoL applications beyond learning and simple memorization. Additionally, the different methods for memorizing information found in this study offer insights for developing new services based on the method of loci.

    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

    Data storage equipment

    Keywords

    • Method of Loci
    • Microsoft HoloLens
    • Mixed Reality
    • Pervasive Games

    ASJC Scopus subject areas

    • Software
    • Computer Science Applications
    • Human-Computer Interaction

    Cite this

    Yamada, Y., Irie, K., Gushima, K., Ishizawa, F., Al Sada, M., & Nakajima, T. (2017). HoloMoL: Human memory augmentation with mixed-reality technologies. In Proceedings of the 21st International Academic Mindtrek Conference, AcademicMindtrek 2017 (Vol. 2017-January). Association for Computing Machinery, Inc. https://doi.org/10.1145/3131085.3131097

    HoloMoL : Human memory augmentation with mixed-reality technologies. / Yamada, Yuki; Irie, Keisuke; Gushima, Kota; Ishizawa, Fumiko; Al Sada, Mohammed; Nakajima, Tatsuo.

    Proceedings of the 21st International Academic Mindtrek Conference, AcademicMindtrek 2017. Vol. 2017-January Association for Computing Machinery, Inc, 2017.

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

    Yamada, Y, Irie, K, Gushima, K, Ishizawa, F, Al Sada, M & Nakajima, T 2017, HoloMoL: Human memory augmentation with mixed-reality technologies. in Proceedings of the 21st International Academic Mindtrek Conference, AcademicMindtrek 2017. vol. 2017-January, Association for Computing Machinery, Inc, 21st International Academic Mindtrek Conference, AcademicMindtrek 2017, Tampere, Finland, 17/9/20. https://doi.org/10.1145/3131085.3131097
    Yamada Y, Irie K, Gushima K, Ishizawa F, Al Sada M, Nakajima T. HoloMoL: Human memory augmentation with mixed-reality technologies. In Proceedings of the 21st International Academic Mindtrek Conference, AcademicMindtrek 2017. Vol. 2017-January. Association for Computing Machinery, Inc. 2017 https://doi.org/10.1145/3131085.3131097
    Yamada, Yuki ; Irie, Keisuke ; Gushima, Kota ; Ishizawa, Fumiko ; Al Sada, Mohammed ; Nakajima, Tatsuo. / HoloMoL : Human memory augmentation with mixed-reality technologies. Proceedings of the 21st International Academic Mindtrek Conference, AcademicMindtrek 2017. Vol. 2017-January Association for Computing Machinery, Inc, 2017.
    @inproceedings{464ff3fc33714f32a119e829cc56ac34,
    title = "HoloMoL: Human memory augmentation with mixed-reality technologies",
    abstract = "HoloMoL is a platform that helps us memorize different types of information by combining the method of loci memorization technique and mixed reality contents delivered through Microsoft HoloLens. This paper presents an overview of HoloMoL's design concept and implementation. To further understand our approach, we started by carrying out an exploratory study to investigate its usability aspects. Beside various interaction insights, results mainly indicated that participants utilized multiple memorization techniques that they thought worked best for intended information. Furthermore, we present some discussions about a participatory design workshop to exploit HoloMoL use cases. The results indicated a wider range of possible HoloMoL applications beyond learning and simple memorization. Additionally, the different methods for memorizing information found in this study offer insights for developing new services based on the method of loci.",
    keywords = "Method of Loci, Microsoft HoloLens, Mixed Reality, Pervasive Games",
    author = "Yuki Yamada and Keisuke Irie and Kota Gushima and Fumiko Ishizawa and {Al Sada}, Mohammed and Tatsuo Nakajima",
    year = "2017",
    month = "9",
    day = "20",
    doi = "10.1145/3131085.3131097",
    language = "English",
    volume = "2017-January",
    booktitle = "Proceedings of the 21st International Academic Mindtrek Conference, AcademicMindtrek 2017",
    publisher = "Association for Computing Machinery, Inc",

    }

    TY - GEN

    T1 - HoloMoL

    T2 - Human memory augmentation with mixed-reality technologies

    AU - Yamada, Yuki

    AU - Irie, Keisuke

    AU - Gushima, Kota

    AU - Ishizawa, Fumiko

    AU - Al Sada, Mohammed

    AU - Nakajima, Tatsuo

    PY - 2017/9/20

    Y1 - 2017/9/20

    N2 - HoloMoL is a platform that helps us memorize different types of information by combining the method of loci memorization technique and mixed reality contents delivered through Microsoft HoloLens. This paper presents an overview of HoloMoL's design concept and implementation. To further understand our approach, we started by carrying out an exploratory study to investigate its usability aspects. Beside various interaction insights, results mainly indicated that participants utilized multiple memorization techniques that they thought worked best for intended information. Furthermore, we present some discussions about a participatory design workshop to exploit HoloMoL use cases. The results indicated a wider range of possible HoloMoL applications beyond learning and simple memorization. Additionally, the different methods for memorizing information found in this study offer insights for developing new services based on the method of loci.

    AB - HoloMoL is a platform that helps us memorize different types of information by combining the method of loci memorization technique and mixed reality contents delivered through Microsoft HoloLens. This paper presents an overview of HoloMoL's design concept and implementation. To further understand our approach, we started by carrying out an exploratory study to investigate its usability aspects. Beside various interaction insights, results mainly indicated that participants utilized multiple memorization techniques that they thought worked best for intended information. Furthermore, we present some discussions about a participatory design workshop to exploit HoloMoL use cases. The results indicated a wider range of possible HoloMoL applications beyond learning and simple memorization. Additionally, the different methods for memorizing information found in this study offer insights for developing new services based on the method of loci.

    KW - Method of Loci

    KW - Microsoft HoloLens

    KW - Mixed Reality

    KW - Pervasive Games

    UR - http://www.scopus.com/inward/record.url?scp=85041832319&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=85041832319&partnerID=8YFLogxK

    U2 - 10.1145/3131085.3131097

    DO - 10.1145/3131085.3131097

    M3 - Conference contribution

    VL - 2017-January

    BT - Proceedings of the 21st International Academic Mindtrek Conference, AcademicMindtrek 2017

    PB - Association for Computing Machinery, Inc

    ER -