Technical Functions of Digital Wearable Products (DWPs) in the Consumer Acceptance Model: A Systematic Review with A Biomimetic Perspective

These supplementary materials for the systematic literature review paper: Technical Functions of Digital Wearable Products (DWPs) in the Consumer Acceptance Model: A Systematic Review with A Biomimetic Perspective. We focused on enhancing the technology acceptance model by integrating biomimetic design principles (e.g., bio-inspired structure, skin-mimicking structure, and skin-mimicking structure) alongside AI-driven features.” The method used in this study was a systematic literature review and bibliometric analysis conducted on articles published between 2014 and 2024 in three databases: Web of Science, Scopus, and ScienceDirect. The included articles must be in English and based on empirical data published in peer-reviewed journals. A total of 38 full-text articles were included in the bibliometric and thematic analysis. Our analysis indicates that products’ technical functions influence consumer acceptance through (i) wearable technology, (ii) appearance and design, (iii) biomimetic innovation, and (iv) security and privacy. We also identified eight types of DWPs, among them smartwatches, medical robotics, fitness devices, and wearable fashions, which significantly predicted the customers’ acceptance, moderated by the behavioral factors. The review also identified five key outcomes: health and fitness, enjoyment, social value, biomimicry, and market growth. This review contributes to the comprehensive acceptance model that combines biomimetic principles and AI-driven features into the technical functions of the technical function model while addressing security and privacy concerns. Therefore, the current study significantly contributes to the extended definition of TAM in wearable technology, offering new pathways for biomimetic research in wearable devices and robotics. Furthermore, this study highlights critical questions for future research, with significant implications for diverse wearable products (including bionic wearable robotics) development and marketing strategies in the digital wearables industry.

本补充材料对应一篇系统综述论文：《数字可穿戴产品（Digital Wearable Products, DWPs）在消费者接受模型中的技术功能——基于仿生视角的系统综述》。本研究旨在通过整合仿生设计原则（如仿生结构、仿皮肤结构，原文重复两次仿皮肤结构）与人工智能驱动功能，对技术接受模型进行拓展完善。本研究采用系统文献综述与文献计量分析方法，检索了2014年至2024年间发表于Web of Science、Scopus及ScienceDirect三个数据库的相关文献。纳入标准为：文献需以英语撰写、基于同行评议期刊发表的实证数据。最终共有38篇全文文献被纳入本次文献计量与主题分析。分析结果显示，产品技术功能通过以下四个维度影响消费者接受度：(i) 可穿戴技术、(ii) 外观与设计、(iii) 仿生创新、(iv) 安全与隐私保护。本研究同时识别出八类数字可穿戴产品，其中智能手表、医疗机器人、健身设备及可穿戴时尚产品等类型对消费者接受度具有显著预测作用，且该关系受行为因素调节。本综述还提炼出五大核心研究结果：健康与健身、愉悦体验、社会价值、仿生学应用及市场增长。本综述构建了融合仿生原则与人工智能驱动功能的综合接受模型，将其纳入技术功能维度，并同时考量了安全与隐私相关问题。因此，本研究显著拓展了可穿戴技术领域中技术接受模型（Technology Acceptance Model, TAM）的定义范畴，为可穿戴设备与机器人领域的仿生研究提供了全新路径。此外，本研究还提出了未来研究亟待解决的关键问题，对数字可穿戴产业中各类可穿戴产品（包括仿生可穿戴机器人）的研发与营销策略制定具有重要参考价值。