Storytelling with objects to explore digital archives

David Blezinger, Elise Van Den Hoven

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

    2 Citations (Scopus)
    301 Downloads (Pure)


    Finding media in archives is difficult while storytelling with photos can be fun and supports memory retrieval. Could the search for media become a natural part of the storytelling experience? This study investigates spatial interactions with objects as a means to encode information for retrieval while being embedded in the story flow. An experiment is carried out in which participants watch a short video and re-tell the story using cards each of which shows a character or object occurring in the video. Participants arrange the cards when telling the story. It is analyzed what information interactions with cards carry and how this information relates to the language of storytelling. Most participants align interactions with objects with the sentences of the story while some arrange the cards corresponding to the video scene. Spatial interactions with objects can carry information on their own or complemented by language.

    Original languageEnglish
    Title of host publicationEuropean Conference on Cognitive Ergonomics
    Subtitle of host publicationSimulation, Visualisation and Digital Technologies, ECCE 2016
    Place of PublicationNew York
    PublisherAssociation for Computing Machinery (ACM)
    Number of pages7
    ISBN (Electronic)9781450342445
    Publication statusPublished - 5 Sept 2016
    Event34th European Conference on Cognitive Ergonomics, ECCE 2016 - Nottingham, United Kingdom
    Duration: 6 Sept 20168 Sept 2016


    Conference34th European Conference on Cognitive Ergonomics, ECCE 2016
    Country/TerritoryUnited Kingdom


    • Digital Archives
    • Interaction Design
    • Language
    • Objects
    • Retrieval
    • Spatial
    • Storytelling

    ASJC Scopus subject areas

    • Human-Computer Interaction
    • Computer Networks and Communications
    • Computer Vision and Pattern Recognition
    • Software


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