User Clustering Visualization and Its Impact on Motion-Based Interaction Design

Antonio Escamilla, Javier Melenchón, Carlos Monzo, Jose A. Moran

    Producción científica: Capítulo del libro/informe/acta de congresoPonencia publicada en las memorias del evento con ISBNrevisión exhaustiva


    Movement-based interaction design relies on sensor data analysis and higher-level feature extraction to represent human movement. However, challenges to effectively using movement data include building computational tools that allow exploring feature extraction technology as design material, and the need for visual representations that help designers better understand the contents of movement. This paper presents an approach for visualizing user clustering descriptors to enhance the practitioners’ ability to use human motion in interaction design. Following a user-centered strategy, we first identified perceptions of, and barriers to, using motion-based features in a group of interaction designers. Then, a multiple-view multiple-people tracking system was implemented as a detection strategy that leverages current models for 3d pose estimation. Finally, we developed a computational prototype that performs instantaneous and short-term clustering of users in space and presents simple descriptors of the algorithm’s output visually. Our approach was validated through a qualitative study with interaction designers. Semi-structured interviews were used to evaluate design strategies with and without the assistance of the computational prototype and to investigate the impact of user clustering visualization on the design of interactive experiences. From practitioners’ opinions, we conclude that feature visualization allowed designers to identify detection capabilities that enriched the ideation process and relate multiple dimensions of group behavior that lead to novel interaction ideas.

    Idioma originalInglés
    Título de la publicación alojadaHuman-Computer Interaction - Thematic Area, HCI 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings
    EditoresMasaaki Kurosu, Ayako Hashizume
    EditorialSpringer Science and Business Media Deutschland GmbH
    Número de páginas17
    ISBN (versión impresa)9783031355950
    EstadoPublicada - 2023
    EventoThematic Area on Human Computer Interaction, HCI 2023, held as part of the 25th International Conference on Human-Computer Interaction, HCII 2023 - Copenhagen, Dinamarca
    Duración: 23 jul. 202328 jul. 2023

    Serie de la publicación

    NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volumen14011 LNCS
    ISSN (versión impresa)0302-9743
    ISSN (versión digital)1611-3349


    ConferenciaThematic Area on Human Computer Interaction, HCI 2023, held as part of the 25th International Conference on Human-Computer Interaction, HCII 2023

    Nota bibliográfica

    Publisher Copyright:
    © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.


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