Journal of Yeungnam Medical Science

Original article

User perception of medical service robots in hospital wards: a cross-sectional study: Jung Hwan Lee, Jae Meen Lee, Jaehyun Hwang, Joo Young Park, Mijeong Kim, Dong Hwan Kim, Jae Il Lee, Kyoung Hyup Nam, In Ho Han; J Yeungnam Med Sci. 2022;39(2):116-123. Published online October 5, 2021; DOI: https://doi.org/10.12701/yujm.2021.01319

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Background
Recently, there have been various developments in medical service robots (MSRs). However, few studies have examined the perceptions of those who use it. The purpose of this study is to identify user perceptions of MSRs.
Methods
We conducted a survey of 320 patients, doctors, and nurses. The contents of the survey were organized as follows: external appearances, perceptions, expected utilization, possible safety accidents, and awareness of their responsibilities. Statistical analyses were performed using t-test, chi-square test, and analysis of variance.
Results
The most preferred appearance was the animal type, with a screen. The overall average score of positive questions was 3.64±0.98 of 5 points and that of negative questions was 3.24±0.99. Thus, the results revealed that the participants had positive perceptions of MSR. The overall average of all expected utilization was 4.05±0.84. The most expected utilization was to guide hospital facilities. The most worrisome accident was exposure to personal information. Moreover, participants thought that the overall responsibility of the robot user (hospital) was greater than that of the robot manufacturer in the case of safety accidents.
Conclusion
The perceptions of MSRs used in hospital wards were positive, and the overall expected utilization was high. It is necessary to recognize safety accidents for such robots, and sufficient attention is required when developing and manufacturing robots.

Citations

Citations to this article as recorded by

Robotic Anesthesia: A Vision for 2050
Thomas M. Hemmerling, Sean D. Jeffries
Anesthesia & Analgesia.2024; 138(2): 239. CrossRef
Exploring the influence of anthropomorphic appearance on usage intention on online medical service robots (OMSRs): A neurophysiological study
Yi Ding, Ran Guo, Muhammad Bilal, Vincent G. Duffy
Heliyon.2024; 10(5): e26582. CrossRef
Customer acceptance of service robots under different service settings
Yi Li, Chongli Wang, Bo Song
Journal of Service Theory and Practice.2023; 33(1): 46. CrossRef

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