Interaction designers’ perceptions of using motion-based full-body features

Antonio Escamilla, Javier Melenchón, Carlos Monzo, Jose Antonio Morán

    Research output: Contribution to journalArticle in an indexed scientific journalpeer-review

    1 Scopus citations

    Abstract

    Movement-based full-body interactions are increasingly being used in the design of interactive spaces, computer-mediated environments, and virtual user experiences due to the development and availability of diverse sensing technologies. In this context, the role of interaction designers is to find systematic and predictable relationships between bodily actions and the corresponding responses from technology. Sensor-based interaction design relies on sensor data analysis and higher-level feature extraction to improve detection capabilities. However, understanding human movement to inform the design of motion-based interactions is not straightforward if the detection capabilities of interaction technologies are unknown. We aim at understanding the problems and opportunities that practitioners—regardless of their technical background—perceive in using different motion-based full-body features. To achieve this, we conducted four separate focus groups with experienced practitioners, with and without technical backgrounds. We used a framework for the analysis of focus group data in information systems research to identify content areas and draw conclusions. Our findings suggest that most interaction designers, regardless of their technical background, consider motion-based feature extraction to be challenging and time-consuming. However, participants acknowledge they might use designer-interpretable features as a potential tool to foster user behavior exploration. Understanding how practitioners link sensor-based interaction design with feature extraction technology is relevant to design computational tools and reduce the technical effort required from designers to characterize the user's movement.

    Original languageEnglish
    Article number102697
    JournalInternational Journal of Human Computer Studies
    Volume155
    DOIs
    StatePublished - Nov 2021

    Bibliographical note

    Publisher Copyright:
    © 2021

    Keywords

    • Designer-interpretable feature
    • Full-body interaction
    • Interaction designers' perception
    • Motion-based feature extraction

    Types Minciencias

    • Artículos de investigación con calidad A1 / Q1

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