Abstract
As the textile industry in China is heavily polluted, this study explores the design of a smart sewing device for recycling used clothing based on multi-modal Interaction to create a fun way to collect used clothing, for users who have a need to recycle and a desire to transform used clothing. User needs for online and offline services are identified through the KANO model user needs analysis. With the analysis of the user’s channel characteristics and the operating tasks of the smart sewing device, the quantitative requirements of the user VACP channel resources for different operating interfaces of the smart sewing device are obtained, and specific design strategies are proposed to guide the completion of the design practice. Furthermore, product iterations and optimizations are carried out based on the feedback results to initially validate the effectiveness of multi-modal Interaction mechanisms in VACP theory for the design of smart sewing devices.
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This work was financially supported by the 2022 Google China Education Cooperation Program Funding Program, student development program (China-US Young Maker Competition special channel) (PJ220080).
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Liu, Y., Dong, L., Zhang, J., Lee, D., Ni, H. (2023). Smart Sewing Device Design for Transform Old Clothes Based on Multimodal Interaction. In: Duffy, V.G., Krömker, H., A. Streitz, N., Konomi, S. (eds) HCI International 2023 – Late Breaking Papers. HCII 2023. Lecture Notes in Computer Science, vol 14057. Springer, Cham. https://doi.org/10.1007/978-3-031-48047-8_37
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DOI: https://doi.org/10.1007/978-3-031-48047-8_37
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