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

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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Publication Details

Journal
Computers in Human Behavior Reports
Published
2024-09-30
DOI
https://doi.org/10.1016/j.chbr.2024.100495
Citations
26
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
16.73

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article

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

Joe McDonagh, Sónia Sousa, Siddharth Gulati, David Lamas
26 citations
Computers in Human Behavior Reports
Human-Automation Interaction and Safety
16.73
article

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

Joe McDonagh, Sónia Sousa, Siddharth Gulati, David Lamas
article en
26 citations

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.

Computers in Human Behavior ReportsVol. 16
Tallinn University of Technology (EE), Tallinn University (EE), Trinity College Dublin (IE), University of Manchester (GB)
University of Manchester
Openalex Percentile: Top 1%
Human-Automation Interaction and Safety
16.73
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