Trust models and theories in human–computer interaction: A systematic literature review

IF 4.9 Q1 PSYCHOLOGY, EXPERIMENTAL Computers in human behavior reports Pub Date : 2024-09-29 DOI:10.1016/j.chbr.2024.100495
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Abstract

Trust in human–computer interaction (HCI) has been studied from multiple angles using a variety of theoretical frameworks. However, there is no comprehensive overview of these frameworks in the literature. We conducted a systematic literature review of 47 studies to establish a body of knowledge on trust frameworks in HCI. We found that 22 studies used theories from diverse fields such as psychology, economics, and communication to study trust formation and development. Our review highlights the challenge of capturing the dynamic nature of trust in HCI, given the complex interplay of multiple underlying factors. We also identify significant gaps in the current body of literature, highlighting the scarcity of standardized, empirically validated instruments for trust measurement. To address these issues, we propose avenues for future research, both theoretical and empirical. Furthermore, we emphasize the imperative of advancing new methods to capture better the multi-dimensional nature of trust. Our review contributes to broadening the discourse on trust in HCI, stimulating further inquiry and offering valuable insights for future research and practice.
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人机交互中的信任模型和理论:系统文献综述
人们利用各种理论框架从多个角度研究了人机交互(HCI)中的信任问题。然而,文献中并没有对这些框架进行全面概述。我们对 47 项研究进行了系统的文献综述,以建立人机交互信任框架的知识体系。我们发现,有 22 项研究使用了心理学、经济学和传播学等不同领域的理论来研究信任的形成和发展。鉴于多种基本因素的复杂相互作用,我们的综述强调了捕捉人机交互中信任的动态性质所面临的挑战。我们还发现了当前文献中存在的重大空白,强调了缺乏标准化的、经过经验验证的信任测量工具。为了解决这些问题,我们提出了未来研究的途径,包括理论研究和实证研究。此外,我们强调必须推进新的方法,以更好地捕捉信任的多维性。我们的综述有助于拓宽人机交互中有关信任的讨论,激发进一步的探索,并为未来的研究和实践提供有价值的见解。
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