User perception of medical service robots in hospital wards: a cross-sectional study
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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.
Abstract
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.
참고문헌 (10)
- 남경협, "Internet of Things, Digital Biomarker, and Artificial Intelligence in Spine: Current and Future Perspectives", Neurospine, 16(4), pp.705~711 (2019), 대한척추신경외과학회[DOI]
- Wang TM, "Current researches and future development trend of intelligent robot : a review", Int J Autom Compt, 15, pp.525~546 (2018)
- Lee JY, "Nurses’ needs for care robots in integrated nursing care services", J Adv Nurs, 74, pp.2094~2105 (2018)
- 고동훈, "Efficacy and Safety of Robotic Procedures Performed Using the da Vinci Robotic Surgical System at a Single Institute in Korea: Experience with 10000 Cases", Yonsei Medical Journal, 59(8), pp.975~981 (2018), 연세대학교의과대학[DOI]
- 홍은민, "노인요양시설 간호사의 케어 로봇에 대한 인식", 노인간호학회지, 21(1), pp.22~32 (2019), 한국노인간호학회[DOI]
- Lohse M, "What can I do for you? Appearance and application of robots", Paper presented at: The 33rd Annual Convention of the Society for the Study of Artificial Intelligence and the Simulation of Behaviour, pp.121~126 (2007), Curran Associates, Inc
- Wu YH, "Designing robots for the elderly : appearance issue and beyond", Arch Gerontol Geriatr, 54, pp.121~126 (2012)
- Hegel F, "Effects of visual appearance on the attribution of applications in social robotics", Paper presented at: The 18th IEEE International Symposium on Robot and Human Interactive Communication, pp.64~71 (2009), IEEE
- Prakash C, "Recent developments in human gait research : parameters, approaches, applications, machine learning techniques, datasets and challenges", Artif Intell Rev, 49, pp.1~40 (2018)
- Kirkpatrick K, "Legal issues with robots", Commun ACM, 56, pp.17~19 (2013)