Theoretical Models for Acceptance of Human Implantable Technologies: A Narrative Review

IF 3.4 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Informatics Pub Date : 2023-08-26 DOI:10.3390/informatics10030069
B. Chaudhry, Shekufeh Shafeie, M.S.A. Mohamed
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Abstract

Theoretical models play a vital role in understanding the barriers and facilitators for the acceptance or rejection of emerging technologies. We conducted a narrative review of theoretical models predicting acceptance and adoption of human enhancement embeddable technologies to assess how well those models have studied unique attributes and qualities of embeddables and to identify gaps in the literature. Our broad search across multiple databases and Google Scholar identified 15 relevant articles published since 2016. We discovered that three main theoretical models: the technology acceptance model (TAM), unified theory of acceptance and use of technology (UTAUT), and cognitive–affective–normative (CAN) model have been consistently used and refined to explain the acceptance of human enhancement embeddable technology. Psychological constructs such as self-efficacy, motivation, self-determination, and demographic factors were also explored as mediating and moderating variables. Based on our analysis, we collated the verified determinants into a comprehensive model, modifying the CAN model. We also identified gaps in the literature and recommended a further exploration of design elements and psychological constructs. Additionally, we suggest investigating other models such as the matching person and technology model (MPTM), the hedonic-motivation system adoption model (HMSAM), and the value-based adoption model (VAM) to provide a more nuanced understanding of embeddable technologies’ adoption. Our study not only synthesizes the current state of research but also provides a robust framework for future investigations. By offering insights into the complex interplay of factors influencing the adoption of embeddable technologies, we contribute to the development of more effective strategies for design, implementation, and acceptance, thereby paving the way for the successful integration of these technologies into everyday life.
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接受人类植入技术的理论模型:叙述性综述
理论模型在理解接受或拒绝新兴技术的障碍和促进因素方面发挥着至关重要的作用。我们对预测人类增强可嵌入技术的接受和采用的理论模型进行了叙述性审查,以评估这些模型在多大程度上研究了可嵌入物的独特属性和质量,并确定了文献中的空白。我们在多个数据库和谷歌学者中进行了广泛搜索,发现了自2016年以来发表的15篇相关文章。我们发现,三个主要的理论模型:技术接受模型(TAM)、技术接受和使用统一理论(UTAUT)和认知-情感-规范(CAN)模型一直被用来解释人类增强嵌入技术的接受。自我效能、动机、自我决定和人口统计学因素等心理结构也被探索为中介和调节变量。基于我们的分析,我们将已验证的决定因素整理成一个综合模型,对CAN模型进行了修改。我们还发现了文献中的空白,并建议进一步探索设计元素和心理结构。此外,我们建议研究其他模型,如匹配的人和技术模型(MPTM)、享乐动机系统采用模型(HMSAM)和基于价值的采用模型(VAM),以对可嵌入技术的采用提供更细致的理解。我们的研究不仅综合了当前的研究状况,而且为未来的研究提供了一个强有力的框架。通过深入了解影响可嵌入技术采用的因素的复杂相互作用,我们有助于制定更有效的设计、实施和接受策略,从而为这些技术成功融入日常生活铺平道路。
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来源期刊
Informatics
Informatics Social Sciences-Communication
CiteScore
6.60
自引率
6.50%
发文量
88
审稿时长
6 weeks
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