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pp. 1037-1054
S&M4362 Report https://doi.org/10.18494/SAM6165 Published: February 27, 2026 Sensor-assisted Evaluation Framework for Mobile Cooling Devices Integrating Environmental Sensing and Multicriteria Decision-making [PDF] Jin Niu and Cheng-Fu Yang (Received January 6, 2026; Accepted January 29, 2026) Keywords: mobile cooling products, environmental sensing, analytic hierarchy process (AHP), fuzzy technique for order preference by similarity to ideal solution (TOPSIS), sensory evaluation
In this study, we propose an integrated evaluation framework for mobile cooling products by combining environmental sensing, the analytic hierarchy process (AHP), and a fuzzy technique for order preference by similarity to ideal solution (Fuzzy-TOPSIS) to assess product performance and user experience under realistic usage conditions. Four representative product design types—turbo type, ice crystal type, folding type, and ice-crystal/folding hybrid type—were selected for empirical investigation. Environmental sensing was first employed to acquire microclimate parameters, including ambient temperature, relative humidity, and air velocity, enabling context-aware performance assessment. AHP was subsequently applied to determine the relative weights of two primary evaluation dimensions, namely, sensory attributes and sustainable design factors. Subjective sensory ratings and fuzzy linguistic evaluations collected from 60 participants were then integrated using Fuzzy-TOPSIS to obtain overall performance rankings across different usage scenarios. The results indicate comparable importance between sensory and sustainability dimensions (0.515 vs 0.485), reflecting users’ simultaneous emphasis on thermal comfort and energy efficiency. The overall ranking was ice-crystal/folding hybrid type > ice-crystal type > turbo type > folding type. Regression analysis further reveals that tactile comfort and perceived airflow cooling significantly enhance emotional satisfaction, while noise negatively affects user experience in quiet environments. The proposed framework effectively integrates environmental sensing with multicriteria decision-making and sensory evaluation, offering a scalable approach for the design and assessment of portable and wearable climate-adaptive products.
Corresponding author: Cheng-Fu Yang![]() ![]() This work is licensed under a Creative Commons Attribution 4.0 International License. Cite this article Jin Niu and Cheng-Fu Yang, Sensor-assisted Evaluation Framework for Mobile Cooling Devices Integrating Environmental Sensing and Multicriteria Decision-making, Sens. Mater., Vol. 38, No. 2, 2026, p. 1037-1054. |