An AIoT Product Development Process with Integrated Sustainability and Universal Design

Meng-Dar Shieh, Hsu-Chan Hsiao (), Jui-Feng Chang, Yu-Ting Hsiao and Yuan-Jyun Jhou
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Meng-Dar Shieh: Department of Industrial Design, National Cheng Kung University, Tainan City 701, Taiwan
Hsu-Chan Hsiao: Department of Industrial Design, National Cheng Kung University, Tainan City 701, Taiwan
Jui-Feng Chang: College of Guangdong-Taiwan Industrial Science and Technology, Dongguan University of Technology, Dongguan 523106, China
Yu-Ting Hsiao: Department of Creative Product Design, Asia University, Taichung City 413, Taiwan
Yuan-Jyun Jhou: Orfalea College of Business, California Polytechnic State University, San Luis Obispo, CA 93407, USA

Sustainability, 2025, vol. 17, issue 19, 1-34

Abstract: The rapid development of contemporary artificial intelligence and Internet of Things (IoT) technologies has given rise to the emerging paradigm of the AIoT (Artificial Intelligence of Things), which is profoundly impacting human life and driving the digital transformation of industries and society. The AIoT not only enhances product functionality and convenience but also accelerates the achievement of the United Nations Sustainable Development Goals (SDGs). However, the widespread adoption of these technologies still poses challenges related to social inclusivity, particularly regarding insufficient accessibility for elderly users, which may exacerbate the digital divide and social inequality, contradicting SDG 10 (reducing inequality). This study integrates AIoT product development processes based on sustainability and universal design principles using methods such as Quality Function Deployment, the Analytic Hierarchy Process, the Scenario Method, the Entropy Weight Method, and Fuzzy Comprehensive Evaluation. The features of this process include ease of operation and high flexibility, making it suitable for cross-departmental product development while prioritizing the needs of diverse age groups throughout the development process. The research findings indicate that the AIoT product concepts proposed can meet the needs of diverse users, contributing to the realization of age-friendly products. This study provides a reference point for future AIoT product development, promoting the inclusive and sustainable development of smart technology.

Keywords: sustainability; universal design; Artificial Intelligence of Things (AIoT); Quality Function Deployment (QFD); Scenario Method; Analytic Hierarchy Process (AHP); Entropy Weight Method (EWM); Fuzzy Comprehensive Evaluation (FCE) (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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