Do you feel safe with your robot? Factors influencing perceived safety in human-robot interaction based on subjective and objective measures

Akalın, Neziha; Kristoffersson, Annica; Loutfi, Amy

doi:10.1016/j.ijhcs.2021.102744

Cited by 58 publications

(35 citation statements)

References 35 publications

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“…Previous studies show that perceived safety, which is important for long-term HRI, is associated with comfort, predictability, sense of control, and trust. 23 In our study, staff already believed the robot would make the screening process safe prior to interacting with the robot. This was further validated after interacting with Pepper when they responded even more positively that they believed the robot made the screening process safe.…”

Section: Resultsmentioning

confidence: 81%

The adoption of socially assistive robots for long-term care: During COVID-19 and in a post-pandemic society

Getson

Nejat

2022

Healthc Manage Forum

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The rapid spread of COVID-19 has prompted a surge in the adoption of technology, highlighting a number of potential applications for Socially Assistive Robots (SARs). Our entire healthcare system has been under unprecedented strain, and going forward, we must consider how robotic technology could help improve the quality of care and day-to-day functionality of our care facilities. Herein, we present our human-robot interaction study in a local long-term care centre during the pandemic and the lessons learned from deploying a SAR to screen staff members. We investigate staff acceptance and the influence of demographics on perceptions of the SAR. Results show that overall, staff were positive about the screening robot, and that autonomous screening with a social robot is a potential application in long-term care homes. We further detail the challenges and future opportunities to develop SARs, including recommendations to successfully implement and adopt these robots in a post-pandemic society.

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Section: Resultsmentioning

confidence: 81%

The adoption of socially assistive robots for long-term care: During COVID-19 and in a post-pandemic society

Getson

Nejat

2022

Healthc Manage Forum

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“…recognizing a customer) (Wirtz et al , 2018). Previous work in the HRI field identifies anthropomorphic features (humanness) (Duffy, 2003; Mori et al , 2012) and perceived safety (Akalin et al , 2022; Wirtz et al , 2018; Tung and Law, 2017) as the essential features to have meaningful and quality social interaction between a robot and a human. The relational elements express consumers’ feelings while interacting with service robots (Wirtz et al , 2018).…”

Section: Conceptual Frameworkmentioning

confidence: 99%

“…However, given the current stage of development, features such as interactivity and social interactions with service robots are in a very nascent stage (Belanche et al, 2020). On the other hand, perceived safety has emerged as a very important factor that is crucial for long-term interaction and acceptance of service robots (Akalin et al, 2022). A service robot must avoid actions that might cause feelings of discomfort or create unpleasant social situations for customers (Akalin et al, 2022).…”

Section: Hypotheses Developmentmentioning

confidence: 99%

“…On the other hand, perceived safety has emerged as a very important factor that is crucial for long-term interaction and acceptance of service robots (Akalin et al, 2022). A service robot must avoid actions that might cause feelings of discomfort or create unpleasant social situations for customers (Akalin et al, 2022). Hence, we include perceived humanness (PH) and perceived safety (PS) as two socio-emotional elements within our research framework.…”

Section: Hypotheses Developmentmentioning

confidence: 99%

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Understanding generation Z consumers’ revisit intentions to robotic service restaurants

Gupta

Pande

2023

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Purpose The purpose of this paper is to investigate the influencing factors of generation Z (Gen Z) consumers’ revisit intentions to robotic restaurants in the post-pandemic times. Design/methodology/approach Using a sample of Gen Z consumers with dining experiences in an Indian restaurant using service robots, the study empirically tests a research framework based on stimulus–organism–response theory. Findings The study explains how Gen Z consumer’s perceptions of functional attributes (i.e. perceived usefulness and perceived ease of use), socio-emotional attribute (i.e. perceived safety) and relational attribute (i.e. trust) shape their attitude, which in turn leads to their evaluations of performance outcomes and intention to revisit the robotic restaurants. The findings also indicate that perceived risk reduction of viral infection moderates the impact of performance outcomes on revisit intention. Originality/value Due to the outbreak of COVID-19 pandemic, the changing preferences of consumers have resulted in an increase in demand for restaurants offering robotic services. To support the long-term viability of service robots in restaurant services, the current study investigates what elements of service robots can determine consumers’ intentions to revisit the robotic restaurants during post-pandemic times.

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“…Trust factors include robot performance, robot reliance, individual differences, and human-robot collaboration [55], but they are also influenced by societal elements [46] and contextual factors [56]. Perceived safety is also identified as an important design aspect that promotes trust in industrial HRC [57,58]. Long-term trust can only emerge when a worker expects the cobot application to positively influence their situation.…”

Section: Cobot Safety Is Dynamic and Not Limited To The Consideration...mentioning

confidence: 99%

Assessing System-Wide Safety Readiness for Successful Human–Robot Collaboration Adoption

Berx

Adriaensen

Decré

et al. 2022

Safety

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Despite their undisputed potential, the uptake of collaborative robots remains below expectations. Collaborative robots (cobots) are used differently from conventional industrial robots. The current safety focus of collaborative workspaces is predominantly on the technological design; additional factors also need to be considered to cope with the emerging risks associated with complex systems. Cobot technologies are characterized by an inherent tradeoff between safety and efficiency. They introduce new, emergent risks to organizations and can create psychosocial impacts on workers. This leads to a confusing body of information and an apparent contradiction about cobot safety. Combined with a lack of safety knowledge, this impedes the introduction of cobots. A multi-step methodology was used, including a literature review and conceptual modeling. This article argues for the need for a system-wide safety awareness readiness assessment in the consideration phase of cobot implementation to alleviate the knowledge deficit and confusion. This work will benefit both researchers and practitioners. In addition, it defends the appropriateness of a maturity grid model for a readiness assessment tool. The building blocks for an easy-to-use and practically applicable tool are proposed, as well as an agenda for the next steps.

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Do you feel safe with your robot? Factors influencing perceived safety in human-robot interaction based on subjective and objective measures

Cited by 58 publications

References 35 publications

The adoption of socially assistive robots for long-term care: During COVID-19 and in a post-pandemic society

The adoption of socially assistive robots for long-term care: During COVID-19 and in a post-pandemic society

Understanding generation Z consumers’ revisit intentions to robotic service restaurants

Assessing System-Wide Safety Readiness for Successful Human–Robot Collaboration Adoption

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