Print Email Facebook Twitter Mattpod Title Mattpod: A Design Proposal for a Multi-Sensory Solo Dining Experience Author Bocanegra, Mimi (University of Twente) Lemke, M. (TU Delft Design Aesthetics) de Vries, Roelof A. J. (University of Twente) Ludden, G (University of Twente) Date 2022 Abstract The consumption of a meal is not just a bodily requirement but can also carry significant symbolic meaning. Solo dining is often contrasted to a shared eating experience and portrayed as an inferior way of eating a meal due to lacking essential social and normative qualities. Human-computer interaction research increasingly explores different ways of enhancing the solo dining experience. However, a focus seems to be on recreating aspects essential to the shared eating experience, such as a dining companion being present, rather than trying to enhance aspects that solo diners enjoy and, therefore, contribute to a reverie in eating. Based on earlier research findings, we developed a design concept that includes sound and visual elements supporting the multi-sensory eating experience and encouraging the user to concentrate on the food rather than seeking distraction. The formative usability evaluation results indicate that the proposed design needs further refinement to evoke the anticipated effect. Subject human food practicesdesign prototypecommensalityeating alonesolo dining To reference this document use: http://resolver.tudelft.nl/uuid:36d664d2-cb65-4f2a-9d3d-4a06757632ab DOI https://doi.org/10.1145/3536220.3563688 Publisher ACM-SIGCHI, Bengalore, India ISBN 978-1-4503-9389-8 Source ICMI 2022 - Companion Publication of the 2022 International Conference on Multimodal Interaction Event ICMI 2022 : 24th ACM International Conference on Multimodal Interaction, 2022-11-07 → 2022-11-11, Bengaluru, India Series ACM International Conference Proceeding Series Part of collection Institutional Repository Document type conference paper Rights © 2022 Mimi Bocanegra, M. Lemke, Roelof A. J. de Vries, G Ludden Files PDF 3536220.3563688.pdf 89.49 MB Close viewer /islandora/object/uuid:36d664d2-cb65-4f2a-9d3d-4a06757632ab/datastream/OBJ/view