Future doctors’ views on the image of a robot

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Abstract

The study is devoted to the study of ideas about robots among medical students from the position of the technopsychosocial model of the robot. Within the framework of this model, the robot is a complex device that includes technical, social and psychological characteristics. These characteristics are objectively reflected in the perceptual activity of people, and can be studied by analyzing definitions and associations. The medical field is specific: high-tech, rapidly developing and integrating almost all types of robots. The dynamism of the medical field, the expansion of social and psychological components of robots determine the relevance of the study. The objective of the study is to identify the substantive characteristics of a robot in the definitions and associations of medical students (114 people, age: M=20, SD=2.4) to the stimulus word "robot". The main method used was content analysis with the identification of empirical indicators of technical, social and psychological characteristics of robots. Data processing was also implemented using cluster analysis based on the FastText model. The study revealed that the respondents’ perceptions clearly include the technical component of robots (54 % of associations). Social (23 %) and psychological (11 %) components are also revealed, but to a lesser degree. The remaining 12 % of associations are categories that cannot be classified within the framework of the proposed model. Using cluster analysis, five groups of representations were identified, from completely technical and social to hybrid, including elements of biomorphism and "humanization". The results of the work can be used to optimize the processes of development and implementation of robots in everyday life. An important part of the work is the use of an interdisciplinary approach. The prospects of the work are determined by the expansion of the sample and diagnostic tools.

About the authors

Vladislav A. Akmaev

Perm State Medical University named after ac. E.A. Wagner

Author for correspondence.
Email: akvladislav@gmail.com
ORCID iD: 0000-0002-2584-5566

Senior Lecturer at the Department of Psychiatry, Narcology and Medical Psychology

Russian Federation, 26, Petropavlovskaya str., Perm, 614000

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Supplementary files

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2. Fig. 1. Cluster analysis based on a cosine similarity of a FastText model

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3. Fig. 2. Frequency associations and connections between them in respondents’ responses (color indicates frequency of occurrence)

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4. Fig. 3. Subcategories of the technical component of the robot and their frequency of occurrence

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5. Fig. 4. Subcategories of the robot's social component and their frequency of occurrence

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6. Fig. 5. Subcategories of the robot’s psychological component and their frequency of occurrence

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Copyright (c) 2025 Akmaev V.A.

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