Physical human–robot interaction for clinical care in infectious environments

Su, Hao; Lallo, Antonio Di; Murphy, Robin R.; Taylor, Russell H.; Garibaldi, Brian T.; Krieger, Axel

doi:10.1038/s42256-021-00324-z

Cited by 25 publications

(16 citation statements)

References 16 publications

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“…With the development of the Internet and the innovation of the domestic education system, online education has been widely promoted and used. Network education has many advantages, such as learning anytime, anywhere, low teaching cost, diversified teaching courses, and retrospective teaching content, which can just solve the problems faced by physiology and medicine teaching [ 12 , 13 ]. Physiological and medical teaching combined with the Internet.…”

Section: Healthcare System Based On Human-computer Interactionmentioning

confidence: 99%

Role of Human-Computer Interaction Healthcare System in the Teaching of Physiology and Medicine

2022

Computational Intelligence and Neuroscience

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With the increasingly severe aging of the population, the difficult and expensive medical treatment problems are becoming more and more prominent; the salary level of domestic doctors is not high, but the cost of training doctors is high, coupled with doctors’ work pressure and mental pressure; the number of candidates for medical school is decreasing year by year; medical talent is rare; and the allocation of medical staff is scarce. Health care is the basic guarantee for people’s good life, and the shortage of medical staff will have many impacts on health care. Human-computer interaction (HCI) is the study of people, computers, and their interaction. HCI refers to the communication between the user and the computer system, which is the two-way information exchange of various symbols and actions between the human and the computer. The purpose of this paper is to study a healthcare system with human-computer interaction through the client, apply the system to the teaching of physiology and medicine, and analyze its effects and functions in combination with various evaluation indicators. This paper selects teaching content, ease of use of human-computer interaction design, technical services, and user subjective satisfaction as evaluation indicators, and constructs an evaluation model for this. And it builds the physiology and medicine teaching system framework and healthcare system, and conducts tests and statistics on the teaching system. This paper combines online questionnaires, in-app survey feedback, and field visits to collect feedback from users and administrators. The final data show that the teaching system meets the requirements in four evaluation indicators: teaching content, ease of use of human-computer interaction design, technical services, and user subjective satisfaction. User satisfaction with these four aspects reached 86.33%, 95.17%, 63.83%, and 81.87%, respectively. It shows that the system is more popular and can meet the needs of most users.

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Section: Healthcare System Based On Human-computer Interactionmentioning

confidence: 99%

Role of Human-Computer Interaction Healthcare System in the Teaching of Physiology and Medicine

2022

Computational Intelligence and Neuroscience

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“…Not only do the researchers foresee this technology being translated to other infectious diseases ( Johns Hopkins University, 2020 ), but they also envision continual expansion of what robots can do. Increased dexterous manipulation and sensitivity to sensations such as temperature, texture, and pressure could allow the next generation of robots to, for example, sanitize patient rooms or even perform some nursing tasks ( Su et al, 2021 ; Graham, 2021 ).…”

Section: Healthcare Deliverymentioning

confidence: 99%

“…As machine learning grants robots increased autonomy with each advancement, Su et al (2021) identified three considerations when a human provider might delegate to a robot: (1) how can the robot’s task be specified clearly enough, so the robot knows exactly what to do; (2) how can one ensure that the robot will perform the specified task safely and correctly; and (3) how to manage unexpected events and uncertainty (p. 186). …”

Section: Healthcare Deliverymentioning

confidence: 99%

The NCSBN 2022 Environmental Scan: Resiliency, Achievement, and Public Protection

2022

Journal of Nursing Regulation

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“…Su et al. ( 2021 ) offers to disseminate the use of medical robots for clinical care. The authors highlight the importance of robotic assistance through diagnoses and surgeries to reduce the risk of infection.…”

Section: Introductionmentioning

confidence: 99%

Human robot interaction as a service for combatting COVID-19: an experimental case study

Özçevik

2022

J Ambient Intell Human Comput

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COVID-19 pandemic has changed today’s routines in a variety of fields such as society, economics, health, etc. It is surely known that the most powerful weapon to fight against the disease is the social distancing. Hence, it is strongly recommended by the authorities to decrease human to human interaction (HHI) in order to stop the spread. However, daily routine of people must continue somehow, because of the fact that it is not known when the pandemic will end permanently. Thus, new approaches should be adapted in social environments for COVID-19 prevention. Human robot interaction (HRI) can be seen as a vital mechanism to provide risk free routines in the society. For this purpose, we offer a human robot interaction as a service (HRIaaS) for eatery locations such as restaurants, cafes, etc. where customers should interact with the staff. The proposed service aims to utilize personal smartphones and decrease the number of HHIs for such environments in which strange people involved. Moreover, an experimental case study is conducted to obtain an evaluation with a real world scenario when the proposed service is used versus a contemporary routine with HHIs. The evaluation results show that an average reduction of 41% is achieved per customer in the number of HHIs between customers and serving staff.

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Physical human–robot interaction for clinical care in infectious environments

Cited by 25 publications

References 16 publications

Role of Human-Computer Interaction Healthcare System in the Teaching of Physiology and Medicine

Role of Human-Computer Interaction Healthcare System in the Teaching of Physiology and Medicine

The NCSBN 2022 Environmental Scan: Resiliency, Achievement, and Public Protection

Human robot interaction as a service for combatting COVID-19: an experimental case study

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