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The doctor’s digital double: how warmth, competence, and animation promote adherence intention

BACKGROUND: Each year, patient nonadherence to treatment advice costs the US healthcare system more than $300 billion and results in 250,000 deaths. Developing virtual consultations to promote adherence could improve public health while cutting healthcare costs and usage. However, inconsistencies in...

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Autores principales: Dai, Zhengyan, MacDorman, Karl F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7924424/
https://www.ncbi.nlm.nih.gov/pubmed/33816821
http://dx.doi.org/10.7717/peerj-cs.168
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author Dai, Zhengyan
MacDorman, Karl F.
author_facet Dai, Zhengyan
MacDorman, Karl F.
author_sort Dai, Zhengyan
collection PubMed
description BACKGROUND: Each year, patient nonadherence to treatment advice costs the US healthcare system more than $300 billion and results in 250,000 deaths. Developing virtual consultations to promote adherence could improve public health while cutting healthcare costs and usage. However, inconsistencies in the realism of computer-animated humans may cause them to appear eerie, a phenomenon termed the uncanny valley. Eeriness could reduce a virtual doctor’s credibility and patients’ adherence. METHODS: In a 2 × 2 × 2 between-groups posttest-only experiment, 738 participants played the role of a patient in a hypothetical virtual consultation with a doctor. The consultation varied in the doctor’s Character (good or poor bedside manner), Outcome (received a fellowship or sued for malpractice), and Depiction (a recorded video of a real human actor or of his 3D computer-animated double). Character, Outcome, and Depiction were designed to manipulate the doctor’s level of warmth, competence, and realism, respectively. RESULTS: Warmth and competence increased adherence intention and consultation enjoyment, but realism did not. On the contrary, the computer-animated doctor increased adherence intention and consultation enjoyment significantly more than the doctor portrayed by a human actor. We propose that enjoyment of the animated consultation caused the doctor to appear warmer and more real, compensating for his realism inconsistency. Expressed as a path model, this explanation fit the data. DISCUSSION: The acceptance and effectiveness of the animation should encourage the development of virtual consultations, which have advantages over creating content with human actors including ease of scenario revision, internationalization, localization, personalization, and web distribution.
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spelling pubmed-79244242021-04-02 The doctor’s digital double: how warmth, competence, and animation promote adherence intention Dai, Zhengyan MacDorman, Karl F. PeerJ Comput Sci Human-Computer Interaction BACKGROUND: Each year, patient nonadherence to treatment advice costs the US healthcare system more than $300 billion and results in 250,000 deaths. Developing virtual consultations to promote adherence could improve public health while cutting healthcare costs and usage. However, inconsistencies in the realism of computer-animated humans may cause them to appear eerie, a phenomenon termed the uncanny valley. Eeriness could reduce a virtual doctor’s credibility and patients’ adherence. METHODS: In a 2 × 2 × 2 between-groups posttest-only experiment, 738 participants played the role of a patient in a hypothetical virtual consultation with a doctor. The consultation varied in the doctor’s Character (good or poor bedside manner), Outcome (received a fellowship or sued for malpractice), and Depiction (a recorded video of a real human actor or of his 3D computer-animated double). Character, Outcome, and Depiction were designed to manipulate the doctor’s level of warmth, competence, and realism, respectively. RESULTS: Warmth and competence increased adherence intention and consultation enjoyment, but realism did not. On the contrary, the computer-animated doctor increased adherence intention and consultation enjoyment significantly more than the doctor portrayed by a human actor. We propose that enjoyment of the animated consultation caused the doctor to appear warmer and more real, compensating for his realism inconsistency. Expressed as a path model, this explanation fit the data. DISCUSSION: The acceptance and effectiveness of the animation should encourage the development of virtual consultations, which have advantages over creating content with human actors including ease of scenario revision, internationalization, localization, personalization, and web distribution. PeerJ Inc. 2018-11-12 /pmc/articles/PMC7924424/ /pubmed/33816821 http://dx.doi.org/10.7717/peerj-cs.168 Text en © 2018 Dai and MacDorman http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited.
spellingShingle Human-Computer Interaction
Dai, Zhengyan
MacDorman, Karl F.
The doctor’s digital double: how warmth, competence, and animation promote adherence intention
title The doctor’s digital double: how warmth, competence, and animation promote adherence intention
title_full The doctor’s digital double: how warmth, competence, and animation promote adherence intention
title_fullStr The doctor’s digital double: how warmth, competence, and animation promote adherence intention
title_full_unstemmed The doctor’s digital double: how warmth, competence, and animation promote adherence intention
title_short The doctor’s digital double: how warmth, competence, and animation promote adherence intention
title_sort doctor’s digital double: how warmth, competence, and animation promote adherence intention
topic Human-Computer Interaction
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7924424/
https://www.ncbi.nlm.nih.gov/pubmed/33816821
http://dx.doi.org/10.7717/peerj-cs.168
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