AI anxiety: Explication and exploration of effect on state anxiety when interacting with AI doctors

People often have anxiety toward artificial intelligence (AI) due to lack of transparency about its operation. This study explicates this anxiety by conceptualizing it as a trait, and examines its effect. It hypothesizes that users with higher AI (trait) anxiety would have higher state anxiety when...

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Main Authors: Hyun Yang, S. Shyam Sundar
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Computers in Human Behavior: Artificial Humans
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Online Access:http://www.sciencedirect.com/science/article/pii/S294988212500012X
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author Hyun Yang
S. Shyam Sundar
author_facet Hyun Yang
S. Shyam Sundar
author_sort Hyun Yang
collection DOAJ
description People often have anxiety toward artificial intelligence (AI) due to lack of transparency about its operation. This study explicates this anxiety by conceptualizing it as a trait, and examines its effect. It hypothesizes that users with higher AI (trait) anxiety would have higher state anxiety when interacting with an AI doctor, compared to those with lower AI (trait) anxiety, in part because it is a deviation from the status quo of being treated by a human doctor. As a solution, it hypothesizes that an AI doctor's explanations for its diagnosis would relieve patients' state anxiety. Furthermore, based on the status quo bias theory and an adaptation of the theory of interactive media effects (TIME) for the study of human-AI interaction (HAII), this study hypothesizes that the affect heuristic triggered by state anxiety would mediate the causal relationship between the source cue of a doctor and user experience (UX) as well as behavioral intentions. A pre-registered 2 (human vs. AI) x 2 (explainable vs. non-explainable) experiment (N = 346) was conducted to test the hypotheses. Data revealed that AI (trait) anxiety is significantly associated with state anxiety. Additionally, data showed that an AI doctor's explanations for its diagnosis significantly reduce state anxiety in patients with high AI (trait) anxiety but increase state anxiety in those with low AI (trait) anxiety, but these effects of explanations are not significant among patients who interact with a human doctor. Theoretical and design implications of these findings and limitations of this study are discussed.
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spelling doaj-art-5358278ea22443e786e1b61e6a462a8f2025-02-11T04:35:45ZengElsevierComputers in Human Behavior: Artificial Humans2949-88212025-03-013100128AI anxiety: Explication and exploration of effect on state anxiety when interacting with AI doctorsHyun Yang0S. Shyam Sundar1The Pennsylvania State University, Donald P. Bellisario College of Communications, 201 Carnegie Building, University Park, PA, 16802, United States; Corresponding author.The Pennsylvania State University, Donald P. Bellisario College of Communications, 201 Carnegie Building, University Park, PA, 16802, United States; Sungkyunkwan University, Department of Immersive Media Engineering, 25-2, Sungkyunkwan-ro, Jongno-gu, Seoul 03063, Republic of KoreaPeople often have anxiety toward artificial intelligence (AI) due to lack of transparency about its operation. This study explicates this anxiety by conceptualizing it as a trait, and examines its effect. It hypothesizes that users with higher AI (trait) anxiety would have higher state anxiety when interacting with an AI doctor, compared to those with lower AI (trait) anxiety, in part because it is a deviation from the status quo of being treated by a human doctor. As a solution, it hypothesizes that an AI doctor's explanations for its diagnosis would relieve patients' state anxiety. Furthermore, based on the status quo bias theory and an adaptation of the theory of interactive media effects (TIME) for the study of human-AI interaction (HAII), this study hypothesizes that the affect heuristic triggered by state anxiety would mediate the causal relationship between the source cue of a doctor and user experience (UX) as well as behavioral intentions. A pre-registered 2 (human vs. AI) x 2 (explainable vs. non-explainable) experiment (N = 346) was conducted to test the hypotheses. Data revealed that AI (trait) anxiety is significantly associated with state anxiety. Additionally, data showed that an AI doctor's explanations for its diagnosis significantly reduce state anxiety in patients with high AI (trait) anxiety but increase state anxiety in those with low AI (trait) anxiety, but these effects of explanations are not significant among patients who interact with a human doctor. Theoretical and design implications of these findings and limitations of this study are discussed.http://www.sciencedirect.com/science/article/pii/S294988212500012XAI anxietyState anxietyExplainable AIHealthcare AIMedical AIHAII-TIME
spellingShingle Hyun Yang
S. Shyam Sundar
AI anxiety: Explication and exploration of effect on state anxiety when interacting with AI doctors
Computers in Human Behavior: Artificial Humans
AI anxiety
State anxiety
Explainable AI
Healthcare AI
Medical AI
HAII-TIME
title AI anxiety: Explication and exploration of effect on state anxiety when interacting with AI doctors
title_full AI anxiety: Explication and exploration of effect on state anxiety when interacting with AI doctors
title_fullStr AI anxiety: Explication and exploration of effect on state anxiety when interacting with AI doctors
title_full_unstemmed AI anxiety: Explication and exploration of effect on state anxiety when interacting with AI doctors
title_short AI anxiety: Explication and exploration of effect on state anxiety when interacting with AI doctors
title_sort ai anxiety explication and exploration of effect on state anxiety when interacting with ai doctors
topic AI anxiety
State anxiety
Explainable AI
Healthcare AI
Medical AI
HAII-TIME
url http://www.sciencedirect.com/science/article/pii/S294988212500012X
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