Subjective Stress in Hybrid Collaboration

Müller, Sarah Luisa; Stiehm, Sebastian; Jeschke, Sabina; Richert, Anja

doi:10.1007/978-3-319-70022-9_59

Cited by 13 publications

(4 citation statements)

References 14 publications

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“…Whereas trust (26,27) and acceptance (28,29) are assumed to be mainly associated with effective and efficient interaction, empathy seems to be especially relevant in social HRI settings (22,30). The remaining two outcome categories include affective reactions (31)(32)(33), i.e., activation and pleasure in terms of pleasure-arousal theory (34,35), and behavioral responses, including task performance (36,37) and social behavior shown in interaction with a robot (18,22).…”

Section: Introductionmentioning

confidence: 99%

A meta-analysis on the effectiveness of anthropomorphism in human-robot interaction

2021

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The application of anthropomorphic design features is widely assumed to facilitate humanrobot interaction (HRI). However, a considerable number of study results point in the opposite direction. There is currently no comprehensive common ground on the circumstances under which anthropomorphism promotes interaction with robots. This metaanalysis aims to close this gap. A total of 4,856 abstracts were scanned. After an extensive evaluation, 78 studies involving around 6,000 participants and 187 effect sizes were included in this meta-analysis. The majority of the studies addressed effects on perceptual aspects of robots. In addition, effects on attitudinal, affective, and behavioral aspects were also investigated. Overall, a medium positive effect size was found, indicating a beneficial effect of anthropomorphic design features on human-related outcomes. However, closer scrutiny of the lowest variable level revealed no positive effect for perceived safety, empathy, and task performance. Moreover, the analysis suggests that positive effects of anthropomorphism depend heavily on various moderators. For example, anthropomorphism was in contrast to other fields of application, constantly facilitating social HRI. In conclusion, the results of this analysis provide insights into how design features can be used to improve the quality of HRI.Moreover, they reveal areas in which more research is needed before any clear conclusions about the effects of anthropomorphic robot design can be drawn.

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Section: Introductionmentioning

confidence: 99%

A meta-analysis on the effectiveness of anthropomorphism in human-robot interaction

2021

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“…The success of these solutions can be assessed through various key performance indicators that can be employed to assess these implementations' success using various methods such as measuring worker satisfaction, stress level, usability, and perceived safety, conducting surveys and questionnaires, and gathering feedback from workers. Ensuring that users feel safe and well-prepared when interacting with the robotic system is crucial to fostering trust and promoting successful human-robot collaboration [54][55][56].…”

Section: Discussionmentioning

confidence: 99%

Evaluating Organizational Guidelines for Enhancing Psychological Well-Being, Safety, and Performance in Technology Integration

2023

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Organizations that integrate new technologies, such as collaborative robots, often struggle to maintain workers’ psychological well-being during transitions. Integrating new technologies can, in fact, negatively impact job satisfaction, motivation, and organizational culture. It is thus essential to prioritize workers’ psychological sustainability to benefit fully from these technologies’ advantages, such as reduced production times and increased flexibility. This study evaluates the impact of eight guidelines designed to support organizations in optimizing human–robot collaboration. The guidelines focus on safety, training, communication, worker agency, and stakeholder involvement. We investigated possible implementation solutions and assessment methods or KPIs for each guideline. We conducted an online survey targeting experts in robotics to gather opinions on the guidelines’ potential impact on workers’ psychological well-being, safety, and performance. The survey also asked about implementation solutions and KPIs for evaluating their effectiveness. Proposed solutions, such as demonstration videos and hands-on training, have the potential to enhance users’ perceived safety and confidence in the system. KPIs, such as subjective perceived safety, risk assessment, and user satisfaction, can be employed to assess the success of these implementations. The study highlights key strategies for ensuring workers’ psychological well-being, optimizing performance, and promoting a smooth integration of robotic technologies. By addressing these factors, organizations can better navigate technology integration challenges, fostering a more sustainable and human-centric approach to deploying robotic systems in the workplace.

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“…Cobots should be designed to favor teaming with the worker, adapting their behaviors both to the performed task and the worker's state, with potential effects on higher productivity as well as higher social recognition (Rosen & Wischniewski, 2018). Another study showed that quality of collaboration also influences stress levels of the human coworker (Müller et al, 2017). This evidence confirms the relevance of designing truly collaborative tasks, where human workers and cobots interact in ways enabling workers to perceive task execution as challenging, motivating, and not frustrating, thus contributing to fostering their health and well-being.…”

Section: L-s Factorsmentioning

confidence: 99%

Physical and mental well‐being of cobot workers: A scoping review using the Software‐Hardware‐Environment‐Liveware‐Liveware‐Organization model

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Chiappini

Dei

et al. 2022

Hum Ftrs & Erg Mfg Svc

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The present scoping review investigated the current state of the art concerning factors affecting physical and mental health and well-being of workers using collaborative robots (cobots) in manufacturing industries. Each identified factor was classified using the SHELLO (Software-Hardware-Environment-Liveware-Liveware-Organization) conceptual model. Strengths and limitations of such an approach were outlined. A total of 53 papers were included in the scoping review and analyzed following PRISMA guidelines. In 35 papers at least one risk factor referred to the SHELLO Liveware-Hardware interaction, followed by factors concerning Liveware-Software (16 papers), Liveware-Liveware (11 papers), Liveware intrinsic factor (10 papers), Liveware-Organization (8 papers), and Liveware-Environment (8 papers).This work highlighted that methodological research is still primarily focused on traditional risk assessment and physical safety. However, several research directions concerning the design of cobots as active collaborators were identified, promoting workers' mental health and well-being, too. The SHELLO model proved to effectively highlight human factors relevant for the design of cobots and can provide a systemic approach to investigate human factors in other complex sociotechnical systems. To the best of our knowledge, this is the first time the model is applied in the field of human-cobot interaction.

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Subjective Stress in Hybrid Collaboration

Cited by 13 publications

References 14 publications

A meta-analysis on the effectiveness of anthropomorphism in human-robot interaction

A meta-analysis on the effectiveness of anthropomorphism in human-robot interaction

Evaluating Organizational Guidelines for Enhancing Psychological Well-Being, Safety, and Performance in Technology Integration

Physical and mental well‐being of cobot workers: A scoping review using the Software‐Hardware‐Environment‐Liveware‐Liveware‐Organization model

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