ArticleScientific reports2026
Design of a user-centered intelligent shoe cabinet for smart home hygiene using Kano-AHP-TRIZ.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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1 citing paper in PubMed.
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In Internet of Things (IoT)–enabled smart home environments, managing entryway hygiene is becoming increasingly important for residential health and indoor environmental quality. Intelligent shoe cabinets are expected to integrate functions such as sterilization, drying, energy efficiency, noise reduction, and space optimization. However, most existing designs address these functions independently and lack a systematic, user-centered design framework. This study proposes an IoT-enabled intelligent shoe cabinet design based on an integrated Kano–Analytic Hierarchy Process (AHP)–Theory of Inventive Problem Solving (TRIZ) methodology. User requirements were first classified using the Kano model and then quantified through AHP and fuzzy comprehensive evaluation (FCE), allowing for the prioritization of 16 functional and experiential attributes. The results indicate that must-be attributes have the greatest influence on overall user satisfaction and system performance. To translate these prioritized user needs into technical solutions, TRIZ was applied to resolve engineering contradictions and guide innovative system design. The proposed intelligent system incorporates a hybrid heat-pump low-temperature drying mechanism, a modular UV–ozone disinfection unit, and a localized dynamic retrieval structure. The design received 80.814 points, achieving the “Welcome” level, and the feedback on functional interaction was positive. By integrating user perception modeling with IoT-oriented intelligent system design, this study presents a replicable framework for smart home hygiene products and suggests potential applications in healthcare monitoring and hygiene-sensitive environments within smart cities.
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