Attitudes Towards Human-Robot Collaboration and the Impact of the COVID-19 Pandemic

Wagner-Hartl, Verena; Pohling, Kevin; Rößler, Marc; Strobel, Simon; Maag, Simone

doi:10.1007/978-3-030-90176-9_38

Cited by 3 publications

(4 citation statements)

References 11 publications

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“…Interestingly, while a significant effect regarding of how concerned people feel about the COVID-19 pandemic was reported for other applications for robots like assembly, logistics and cleaning in former research by Wagner-Hartl et al (2021), this could not be shown in the presented study for the healthcare environment. Regarding the application areas used by Wagner-Hartl et al (2021), participants that were more concerned about the COVID-19 pandemic assessed the use of collaborative robots significant more positive than less concerned participants did. In the presented study, the two different groups of concerns regarding the COVID-19 pandemic did not differ significantly regarding their perceived satisfaction nor their perceived usefulness of the four different robots.…”

Section: Discussioncontrasting

confidence: 67%

The Impact of the COVID-19 Pandemic on attitudes towards Human-Robot Collaboration in the Healthcare Environment

Wagner-Hartl,

Gleichauf,

Schmid

et al. 2023

Human Systems Engineering and Design (IHSED 2023): Future Trends and Applications

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The need of nursing staff will continue to increase in the next years. At the same time, the healthcare system will face an increase of elderly people. So, the future society will be confronted with socio-political and economic challenges. It is expected that human-robot collaboration will increase in healthcare. This should support and relieve care staff. An online study was conducted to examine differences in the acceptance of different care robots and the general attitude towards robots in the healthcare sector. To additionally analyze the impact of the COVID-19 pandemic, two different measurement times were used, one at the beginning of the pandemic resp. after the first corona wave and the first lockdowns, and one five months later. The results of the study should help to understand the acceptance of the potential use of different robots in healthcare and the impact of the COVID-19 pandemic.

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Section: Discussioncontrasting

confidence: 67%

The Impact of the COVID-19 Pandemic on attitudes towards Human-Robot Collaboration in the Healthcare Environment

Wagner-Hartl,

Gleichauf,

Schmid

et al. 2023

Human Systems Engineering and Design (IHSED 2023): Future Trends and Applications

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“…Within this study, the most preferred tasks for human-robot collaboration at the workplace were loading and unloading tasks. Furthermore, focusing only on the use of collaborative robots in different areas within the industrial context (assembly, logistics and cleaning) indicates rather positive attitudes towards an interaction with robots within these working environments (Wagner-Hartl et al 2021). However, assembly and logistics tasks were assessed as significantly more conceivable for human-robot collaboration as cleaning tasks.…”

Section: Introductionmentioning

confidence: 94%

The influence of task complexity on acceptance and trust in human-robot interaction - gender and age differences

Wagner-Hartl¹,

Schmid²,

Gleichauf³

2022

Cognitive Computing and Internet of Things

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An increase of human-robot collaboration is expected in the near future. Many people are already experiencing this in their working life, especially in the industrial context for example in production. As technology continues to improve, the number of scenarios and tasks in which humans and robots can interact with each other is also increasing. Therefore, it is important to focus on how humans and robots can work together in the future, while ensuring that negative emotions and mistrust towards this new form of work environment are avoided.The aim of the presented online study was therefore to get more insight in this important future field. Overall, 29 men and 42 women (N = 71) aged between 19 and 64 years (M = 31.44, SD = 13.30) participated in the study. All participants assessed four different scenarios were humans interact with robots in an industrial context. To assess the influence of task complexity on the subjectively assessed acceptance and trust, task complexity was increased with each scenario. The results show, significant assessment differences regarding the different levels of task complexity. Furthermore, women seem to assess the different interaction tasks as significantly more useful and satisfying than men. Regarding trust an interaction of age and gender can be shown.The results of the presented exploratory study can help to understand how the interaction of human and robots is seen today and shall help to get more insight in this important future field.

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“…Gleichauf K et al [3] 2022 Germany Anticipated growth in human-robot collaboration in healthcare aims to address the shortage of medical personnel due to the aging population, with a focus on promoting technology acceptance among the medical team.…”

Section: Authors Year Country Findingsmentioning

confidence: 99%

“…Involving the medical team from the outset is crucial to promoting acceptance of these technological systems and digital assistance. Thus, this study set out to investigate disparities in the general perception and acceptability of robots in the healthcare industry [3].…”

Section: Introductionmentioning

confidence: 99%

Human-Robot Collaboration for Healthcare: A Narrative Review

Weerarathna,

Raymond,

Luharia

2023

Cureus

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Robotic applications have often quickly transitioned from industrial to social. Because of this, robots can now engage with people in a natural way and blend in with their surroundings. Due to the lack of medical professionals, growing healthcare costs, and the exponential rise in the population of vulnerable groups like the ill, elderly, and children with developmental disabilities, the use of social robots in the healthcare system is expanding. As a result, social robots are employed in the medical field to entertain and educate hospitalized patients about health issues, as well as to assist the elderly and sick. They are also employed in the dispensing of medications, rehabilitation, and emotional and geriatric care. Thus, social robots raise the standard and effectiveness of medical care. This article explains how patients and healthcare professionals collaborate with robots in the healthcare industry. The objectives of this collaboration are to resolve moral and legal concerns, improve patient outcomes, and improve healthcare delivery. It has a broad range of uses, including telemedicine, rehabilitation, and robotic surgical support. Human-robot interaction is the term used to describe interactions between social robots and people. Many obstacles stand in the way of humanrobot interaction in healthcare, including safety concerns, acceptability issues, appropriateness, usefulness, and the worry that robots may replace human carers. In the end, these difficulties result in a poor adoption rate for robotic technology. As a result, the applications and difficulties of human-robot interaction in healthcare are thoroughly evaluated in this research. This study also reviews future safety prospects from human-robot interaction in healthcare, as well as ethical and usability issues including privacy, trust, and safety, and our aims to provide a comprehensive overview of the use of robots in healthcare, including their applications, benefits, challenges, and prospects, to facilitate a deeper understanding of this evolving field.

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Attitudes Towards Human-Robot Collaboration and the Impact of the COVID-19 Pandemic

Cited by 3 publications

References 11 publications

The Impact of the COVID-19 Pandemic on attitudes towards Human-Robot Collaboration in the Healthcare Environment

The Impact of the COVID-19 Pandemic on attitudes towards Human-Robot Collaboration in the Healthcare Environment

The influence of task complexity on acceptance and trust in human-robot interaction - gender and age differences

Human-Robot Collaboration for Healthcare: A Narrative Review

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