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      Use of Humor by a Healthcare Robot Positively Affects User Perceptions and Behavior

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          Abstract

          As we approach a time in which social robots will be used in home and healthcare settings, there is a critical need to research robot behaviors that can increase user acceptance and comfort. The use of humor by physicians during patient interactions is associated with a number of positive patient health outcomes. However, no research to date has examined the effect of humor on user outcomes when used by a healthcare robot. This study examined the use of humor by a healthcare robot in a scripted interaction in a simulated medical setting. An experiment was conducted with 91 healthy participants (73 female, mean age 25 years). Participants were randomly allocated to interact with either a humorous or neutral robot in a flu vaccination scenario. Perceptions of the robot were assessed using the Godspeed questionnaire, an empathy questionnaire, and Asch personality scale, at two time points (before and after the interaction). Participant laughing was observed during the interaction. Repeated measures between group ANOVA showed that robot use of humor resulted in significantly greater perceptions of the robot’s likeability and safety. The humorous robot was also rated as having significantly more empathy, and a more sociable personality. Participants in the humorous condition were also more likely to rate the robot’s personality as happy, talkative, and frivolous, compared to participants in the neutral condition. Significantly more participants laughed during the interaction with the humorous robot, than with the neutral robot. Together, these findings suggest that the use of humor by a healthcare robot may increase positive user evaluations. This research has implications for both theory and clinical applications.

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              Physician communication and patient adherence to treatment: a meta-analysis.

              Numerous empirical studies from various populations and settings link patient treatment adherence to physician-patient communication. Meta-analysis allows estimates of the overall effects both in correlational research and in experimental interventions involving the training of physicians' communication skills. Calculation and analysis of "r effect sizes" and moderators of the relationship between physician's communication and patient adherence, and the effects of communication training on adherence to treatment regimens for varying medical conditions. Thorough search of published literature (1949-August 2008) producing separate effects from 106 correlational studies and 21 experimental interventions. Determination of random effects model statistics and the detailed examination of study variability using moderator analyses. Physician communication is significantly positively correlated with patient adherence; there is a 19% higher risk of non-adherence among patients whose physician communicates poorly than among patients whose physician communicates well. Training physicians in communication skills results in substantial and significant improvements in patient adherence such that with physician communication training, the odds of patient adherence are 1.62 times higher than when a physician receives no training. Communication in medical care is highly correlated with better patient adherence, and training physicians to communicate better enhances their patients' adherence. Findings can contribute to medical education and to interventions to improve adherence, supporting arguments that communication is important and resources devoted to improving it are worth investing in. Communication is thus an important factor over which physicians have some control in helping their patients to adhere.
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                Author and article information

                Journal
                Technology, Mind, and Behavior
                American Psychological Association
                2689-0208
                November 17, 2020
                : 1
                : 2
                Affiliations
                [1]Department of Psychological Medicine, University of Auckland
                [2]Department of Electrical, Computer and Software Engineering, University of Auckland
                Author notes
                Action Editor: Danielle S. McNamara was the action editor for this article.
                Acknowledgments and Disclosure: This research was supported in part by a research grant from the Technology Innovation Program funded by the Ministry of Trade, Industry & Energy (MI, Korea). We have no conflicts of interest to disclose.
                Data availability statement: De-identified data that support the findings of this study are available on reasonable request from the corresponding author (EB). The data are not publicly available due to information that could compromise the privacy of research participants.
                Disclaimer: Interactive content is included in the online version of this article.
                [*] Elizabeth Broadbent, Department of Psychological Medicine, Faculty of Medical and Health Sciences, University of Auckland, Private Bag 92019, Auckland, 1023, New Zealand e.broadbent@auckland.ac.nz
                Author information
                https://orcid.org/0000-0002-0056-9657
                https://orcid.org/0000-0001-7418-6280
                https://orcid.org/0000-0002-9946-9815
                https://orcid.org/0000-0003-3626-9100
                Article
                2020-83699-001
                10.1037/tmb0000021
                deae3998-0b05-4693-aa17-f97505965f4c
                © 2020 The Author(s)

                This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC-BY-NC-ND). This license permits copying and redistributing the work in any medium or format for noncommercial use provided the original authors and source are credited and a link to the license is included in attribution. No derivative works are permitted under this license.

                History

                Education,Psychology,Vocational technology,Engineering,Clinical Psychology & Psychiatry
                humor,healthcare robot,user behaviors,human–robot interaction,user perceptions

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