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International Journal of Human–Computer Interaction Volume 37, 2021 - Issue 10
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Research Article

Artificial Intelligence Is Trusted Less than a Doctor in Medical Treatment Decisions: Influence of Perceived Care and Value Similarity

Ryosuke Yokoia Graduate School of Psychology, Doshisha University, Kyotanabe, Kyoto, JapanORCID Iconhttps://orcid.org/0000-0002-4149-4524View further author information
ORCID Icon,
Yoko Eguchib Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, JapanCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0003-2215-314XView further author information
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Takanori Fujitac Health Policy and Management, Keio University School of Medicine, Tokyo, Japan;d Healthcare Data Project, World Economic Forum Centre for the Fourth Industrial Revolution, Minato-ku, Tokyo, JapanORCID Iconhttps://orcid.org/0000-0003-4372-6090View further author information
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Kazuya Nakayachie Faculty of Psychology, Doshisha University, Kyotanabe, Kyoto, JapanORCID Iconhttps://orcid.org/0000-0002-5073-100XView further author information
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Pages 981-990 | Published online: 26 Dec 2020

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Astrid Schepman & Paul Rodway. (2023) The General Attitudes towards Artificial Intelligence Scale (GAAIS): Confirmatory Validation and Associations with Personality, Corporate Distrust, and General Trust. International Journal of Human–Computer Interaction 39:13, pages 2724-2741.
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Beau G. Schelble, Christopher Flathmann, Nathan J. McNeese, Thomas O’Neill, Richard Pak & Moses Namara. (2023) Investigating the Effects of Perceived Teammate Artificiality on Human Performance and Cognition. International Journal of Human–Computer Interaction 39:13, pages 2686-2701.
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Xin He, Xi Zheng, Huiyuan Ding, Yixuan Liu & Hongling Zhu. (2023) AI-CDSS Design Guidelines and Practice Verification. International Journal of Human–Computer Interaction 0:0, pages 1-24.
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Pelin Uymaz, Ali Osman Uymaz & Yakup Akgül. (2023) Assessing the Behavioral Intention of Individuals to Use an AI Doctor at the Primary, Secondary, and Tertiary Care Levels. International Journal of Human–Computer Interaction 0:0, pages 1-18.
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Eiichiro Watamura, Tomohiro Ioku, Tomoya Mukai & Michio Yamamoto. (2023) Empathetic Robot Judge, we Trust You. International Journal of Human–Computer Interaction 0:0, pages 1-10.
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Xin He, Yeyi Hong, Xi Zheng & Yong Zhang. (2023) What Are the Users’ Needs? Design of a User-Centered Explainable Artificial Intelligence Diagnostic System. International Journal of Human–Computer Interaction 39:7, pages 1519-1542.
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Taenyun Kim & Hayeon Song. (2023) Communicating the Limitations of AI: The Effect of Message Framing and Ownership on Trust in Artificial Intelligence. International Journal of Human–Computer Interaction 39:4, pages 790-800.
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Weiwei Huo, Zihan Zhang, Jingjing Qu, Jiaqi Yan, Siyuan Yan, Jinyi Yan & Bowen Shi. (2023) Speciesism and Preference of Human–Artificial Intelligence Interaction: A Study on Medical Artificial Intelligence. International Journal of Human–Computer Interaction 0:0, pages 1-13.
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Articles from other publishers (20)

George Tudorie. (2023) Reluctant Republic: A Positive Right for Older People to Refuse AI-Based Technology. Societies 13:12, pages 248.
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Manisha Goswami, Supriya Jain, Tabish Alam, Ahmed Farouk Deifalla, Adham E. Ragab & Rohit Khargotra. (2023) Exploring the antecedents of AI adoption for effective HRM practices in the Indian pharmaceutical sector. Frontiers in Pharmacology 14.
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Linda T. Li, Lauren C. Haley, Alexandra K. Boyd & Elmer V. Bernstam. (2023) Technical/Algorithm, Stakeholder, and Society (TASS) barriers to the application of artificial intelligence in medicine: A systematic review. Journal of Biomedical Informatics 147, pages 104531.
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Santosh K. Misra, Sujeet Kumar Sharma, Sumeet Gupta & Satyasiba Das. (2023) A framework to overcome challenges to the adoption of artificial intelligence in Indian Government Organizations. Technological Forecasting and Social Change 194, pages 122721.
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Kai Sun, Xiangwei Zheng & Weilong Liu. (2023) Increasing clinical medical service satisfaction: An investigation into the impacts of Physicians’ use of clinical decision-making support AI on patients’ service satisfaction. International Journal of Medical Informatics 176, pages 105107.
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Takayuki Goto, Kei Kano & Takayuki Shiose. (2023) Students’ acceptance on computer-adaptive testing for achievement assessment in Japanese elementary and secondary school. Frontiers in Education 8.
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Yunqing Tang & Jinliang Cai. (2023) Impact and Prediction of AI Diagnostic Report Interpretation Type on Patient Trust. Frontiers in Computing and Intelligent Systems 3:3, pages 59-65.
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Bo Yang, Yongqiang Sun & Xiao-Liang Shen. (2023) Understanding AI-based customer service resistance: A perspective of defective AI features and tri-dimensional distrusting beliefs. Information Processing & Management 60:3, pages 103257.
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Niels van Berkel, Maura Bellio, Mikael B. Skov & Ann Blandford. (2023) Measurements, Algorithms, and Presentations of Reality: Framing Interactions with AI-Enabled Decision Support. ACM Transactions on Computer-Human Interaction 30:2, pages 1-33.
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Katerina Bezrukova, Terri L. Griffith, Chester Spell, Vincent RiceJr.Jr. & Huiru Evangeline Yang. (2023) Artificial Intelligence and Groups: Effects of Attitudes and Discretion on Collaboration. Group & Organization Management 48:2, pages 629-670.
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Emi Moriuchi, Cassandra Berbary & Caroline Easton. (2023) Looking Through the Lenses of a Patient: An Empirical Study on the Factors Affecting Patients’ Intention to Use Avatar-assisted Therapy. Journal of Technology in Behavioral Science 8:1, pages 100-112.
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Subba Rao Bhavaraju. 2023. Artificial Intelligence in Medicine and Surgery - An Exploration of Current Trends, Potential Opportunities, and Evolving Threats [Working Title]. Artificial Intelligence in Medicine and Surgery - An Exploration of Current Trends, Potential Opportunities, and Evolving Threats [Working Title].
Alexandros Vrochidis, Christina Tsita, Nikolaos Dimitriou, Stelios Krinidis, Savvas Panagiotidis, Stathis Parcharidis, Dimitrios Tzovaras & Vassilios Chatzis. 2023. HCI International 2023 – Late Breaking Papers. HCI International 2023 – Late Breaking Papers 268 287 .
Tinglong Dai & Sridhar Tayur. (2022) Designing AI‐augmented healthcare delivery systems for physician buy‐in and patient acceptance. Production and Operations Management 31:12, pages 4443-4451.
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Beth AB Nichol, Anya C Hurlbert & Jenny CA Read. (2022) Predicting attitudes towards screening for neurodegenerative diseases using OCT and artificial intelligence: Findings from a literature review. Journal of Public Health Research 11:4, pages 227990362211276.
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Paul Formosa, Wendy Rogers, Yannick Griep, Sarah Bankins & Deborah Richards. (2022) Medical AI and human dignity: Contrasting perceptions of human and artificially intelligent (AI) decision making in diagnostic and medical resource allocation contexts. Computers in Human Behavior 133, pages 107296.
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Neta Kela, Eleanor Eytam & Adi Katz. (2022) Supporting Management of Noncommunicable Diseases With Mobile Health (mHealth) Apps: Experimental Study. JMIR Human Factors 9:1, pages e28697.
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Sebastian J Fritsch, Andrea Blankenheim, Alina Wahl, Petra Hetfeld, Oliver Maassen, Saskia Deffge, Julian Kunze, Rolf Rossaint, Morris Riedel, Gernot Marx & Johannes Bickenbach. (2022) Attitudes and perception of artificial intelligence in healthcare: A cross-sectional survey among patients. DIGITAL HEALTH 8, pages 205520762211167.
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Darius-Aurel Frank, Christian T. Elbæk, Caroline Kjær Børsting, Panagiotis Mitkidis, Tobias Otterbring & Sylvie Borau. (2021) Drivers and social implications of Artificial Intelligence adoption in healthcare during the COVID-19 pandemic. PLOS ONE 16:11, pages e0259928.
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Hannah van Kolfschooten. (2021) EU Regulation of Artificial Intelligence: Challenges for Patients’ Rights. SSRN Electronic Journal.
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