Task Design in Human-Robot-Interaction Scenarios – Challenges from a Human Factors Perspective

Rosen, Patricia H.; Wischniewski, Sascha

doi:10.1007/978-3-319-60366-7_8

Cited by 6 publications

(6 citation statements)

References 22 publications

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“…Hence, the creation of adequate standard operating procedures is crucial for improving work efficiency and quality (Kadir et al, 2018; Pearce et al, 2018). 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).…”

Section: Resultsmentioning

confidence: 99%

“…Previous research has highlighted the systematic oversight of organizational human factors, hindering full exploitation of new technologies (Charalambous et al, 2015). The most common potential L‐O risk factors identified in the reviewed papers were related to job displacement, reconfiguration, or loss owing to the introduction of cobots in production lines (Rosen & Wischniewski, 2018; Welfare et al, 2019). An experimental study exploring the relationship between work attributes and automation (Elprama et al, 2017) showed that workers express some concern about robots taking their jobs, but they also acknowledge robots' contribution to reducing their mental and physical workload.…”

Section: Resultsmentioning

confidence: 99%

Section: L-o Factorsmentioning

confidence: 99%

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

Storm

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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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: L-o Factorsmentioning

confidence: 99%

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

Storm

Chiappini

Dei

et al. 2022

Hum Ftrs & Erg Mfg Svc

View full text Add to dashboard Cite

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“…Positioned in the research stream regarding the ease of use of new technology, Rosen and Wischniewski elaborate on how to design hybrid work systems using lightweight robots [33]. The analyses reveal that task variability, timing, and method control have a substantial impact on employees' wellbeing.…”

Section: Organizational Ergonomicsmentioning

confidence: 99%

Logistics Work, Ergonomics and Social Sustainability: Empirical Musculoskeletal System Strain Assessment in Retail Intralogistics

et al. 2021

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Background: A large proportion of logistics jobs still rely on manual labor and therefore place a physical strain on employees. This includes the handling of heavy goods and physiologically unfavorable postures. Such issues pose a risk for employee health and work capability. This article provides a detailed empirical analysis and a decision process structure for the allocation of ergonomic measures in warehousing and intralogistics processes. Methods: The methodological basis is a load assessment of the musculoskeletal system in retail intralogistics. Based on the established measurements systems CUELA and OWAS, the specific loads on employees are assessed for four typical logistics workplace settings. These are combined with standards for efficient decision rules regarding contracting and developing ergonomic improvements. Results: The results suggest an increased risk of long-term low back injury for the selected four standard work situations in warehousing and likely apply to similar work environments in logistics. Using measures, posture descriptions, and international standards, we show how already few threshold values serve as sufficient conditions to decide if ergonomic interventions are required. Conclusions: The specific contribution is characterized by the combination of literature review results, empirical results, and the identification and discussion of specific mitigation measures. These elements are focused on the highly relevant ergonomic situation of logistics workers and present a unique contribution towards the knowledge base in this field due to the multi-perspective approach.

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“…These factors, for example, include aspects like the "subjective norms" one feels are associated with the use of a specific technology. However, as shown in the literature, the factors' "perceived usefulness" and "perceived ease of use" have the strongest effect on users' attitudes toward a technology and should therefore be considered carefully [42], [43].…”

Section: Hrc Interaction Quality and Acceptancementioning

confidence: 99%

Smart Collaborative Systems for Enabling Flexible and Ergonomic Work Practices [Industry Activities]

Ajoudani

Albrecht

Bianchi

et al. 2020

IEEE Robot. Automat. Mag.

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Task Design in Human-Robot-Interaction Scenarios – Challenges from a Human Factors Perspective

Cited by 6 publications

References 22 publications

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

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

Logistics Work, Ergonomics and Social Sustainability: Empirical Musculoskeletal System Strain Assessment in Retail Intralogistics

Smart Collaborative Systems for Enabling Flexible and Ergonomic Work Practices [Industry Activities]

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