Assessing perceived assembly complexity in human-robot collaboration processes: a proposal based on Thurstone’s law of comparative judgement

Capponi, Matteo; Gervasi, Riccardo; Mastrogiacomo, Luca; Franceschini, Fiorenzo

doi:10.1080/00207543.2023.2291519

International Journal of Production Research

2023

DOI: 10.1080/00207543.2023.2291519

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Assessing perceived assembly complexity in human-robot collaboration processes: a proposal based on Thurstone’s law of comparative judgement

Matteo Capponi,

Riccardo Gervasi,

Luca Mastrogiacomo

et al.

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Cited by 5 publications

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Eye-tracking support for analyzing human factors in human-robot collaboration during repetitive long-duration assembly processes

Gervasi,

Capponi,

Mastrogiacomo

et al. 2024

Prod. Eng. Res. Devel.

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The integration of eye-tracking technology in manufacturing is emerging as a powerful tool for optimizing human performance and well-being in the workplace. Advances in various fields enabled the recent development of smaller, wearable, and wireless eye-tracking devices which are suitable for naturalistically studying manufacturing processes, such as human-robot collaboration (HRC). However, the implementation of eye-tracking for evaluating mental workload in HRC is still limited, especially in long-duration sessions. This paper provides an overview on the application of eye-tracking technology in the context of cognitive ergonomics within the manufacturing sector, with special attention to eye-tracking metrics and their interpretation relatively to human state in long-duration sessions (i.e., work shifts). In addition, an example case study will be presented to explore the reliability of the most common eye-tracking metrics, concerning a repetitive assembly process of 8 h in an HRC setting. Among the explored eye-tracking metrics, pupil dilation, number and average duration of fixations, and number saccades provided useful insights on the mental strain in dynamic conditions. In addition, from the multiple information gathered by eye-tracking, different phenomena related to mental workload were able to be distinguished. The use of cognitive resources resulting from learning process was well detected by pupil dilation, number of fixations and saccades. Mental fatigue, on the other hand, was well detected by the average duration of fixations and the pupil diameter. These results highlight the need to consider multiple eye-tracking metrics simultaneously to obtain a holistic view of the operator’s psychophysiological state.

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Eye-tracking support for analyzing human factors in human-robot collaboration during repetitive long-duration assembly processes

Gervasi,

Capponi,

Mastrogiacomo

et al. 2024

Prod. Eng. Res. Devel.

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Streamlining Assembly Instruction Design (S-AID): A comprehensive systematic framework

Bartolomei,

Barravecchia,

Mastrogiacomo

et al. 2025

Computers in Industry

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The Impact of Changing Collaborative Workplace Parameters on Assembly Operation Efficiency

Kovič,

Javernik,

Ojsteršek

et al. 2024

Robotics

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Human–robot collaborative systems bring several benefits in using human and robot capabilities simultaneously. One of the critical questions is the impact of these systems on production process efficiency. The search for high-level efficiency is severely dependent on collaborative robot characteristics and motion parameters, and the ability of humans to adjust to changing circumstances. Therefore, our research analyzes the effect of the changing collaborative robot motion parameters, acoustic parameters and visual factors in a specific assembly operation, where efficiency is measured through operation times. To conduct our study, we designed a digital twin-based model and a laboratory environment experiment in the form of a collaborative workplace. The results show that changing the motion, acoustic and visual parameters of the collaborative workplace impact the assembly process efficiency significantly.

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Assessing perceived assembly complexity in human-robot collaboration processes: a proposal based on Thurstone’s law of comparative judgement

Cited by 5 publications

References 59 publications

Eye-tracking support for analyzing human factors in human-robot collaboration during repetitive long-duration assembly processes

Eye-tracking support for analyzing human factors in human-robot collaboration during repetitive long-duration assembly processes

Streamlining Assembly Instruction Design (S-AID): A comprehensive systematic framework

The Impact of Changing Collaborative Workplace Parameters on Assembly Operation Efficiency

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