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. 2023 Oct 30;10:1277360. doi: 10.3389/frobt.2023.1277360

TABLE 2.

Categorisation of statements.

Physical
Subcategory Risk Opportunity
Physical alteration of the workplace - Close human robot collaboration evokes safety concerns
- Residual risk/unreliability cannot be eliminated completely - A [robot] cannot always avoid colliding with humans. Safety sensors reduce the force of impacts and stop the robot movement when bumping into a human, but the residual risk remains
- Some operators experience mental stress because of safety concerns during close collaboration with robotic systems - Robots can help compensate physical limitation of human workers
- […]
- “Ergonomic improvement, increase of occupational safety”
- “Less physical load as a result of which in an older age you have fewer complaints or would never get worse from them”
- “Combining human and robot safety at work and detection of border pieces” - “Less suffering joints and muscles”
- “Space around the machine, weight of the products” - “No more heavy physical work”
- “More space by the machine” (room) - “Preservation of your physical condition. Less physical complaints”
- “Protection of body and psyche”
- […]
Psychosocial
Function allocation - “Multiple machines save more time”
Task design - “Facilitate/simplify the work”
- “Less repetitive work and therefore less work pressure”
- “Makes work more interesting”
- “More time left for maintenance and other important things”
- “Setting up the robot cost time in the beginning, but later you benefit from it because the programs already exist and you can therefore do other things”
- […]
Ambiguous (Task design or Function allocation) - Robots and collaborative robots can perform easy, repetitive, monotonous and straining manual tasks (dull tasks) instead of humans
- Hybrid production systems [incl. robots] can bridge the gap between humans and machines abilities
- Cobots can perform unsafe, repetitive, or boring tasks so workers can perform other more value-added tasks
Interaction design - Working with an advanced socio-technological system can result in a degree of uncertainty - Autonomous robots might be able to identify and adapt to a worker’s individual strengths and needs
- Audio feedback while controlling a multi-robot set up increases reaction time - The interface design of a robotic system can significantly influence performance, cooperation and satisfaction, by increasing feature visibility and giving feedback
- Lack of confidence in sensory systems for physical contact [during HRI] - Minimize injury through viscoelastic coverings, mechanical absorption systems, lightweight structures and collision detection systems
- […]
- “High error rate, complicates handling”
- “Perishability of the robot and its repair
- the consequences of a delay in production” - “The simple handling”
- “I foresee many technical problems in the human-machine-robot collaboration.” - “That it works”
- “Prone to failure, acceptance of the workforce”
- […]
Operation and supervision - Residual risk/unreliability cannot be eliminated completely - Reliable automation can improve operator performance
- Automating tasks through robotic automation might lessen operator workload, if the technology is reliable
- “Older” persons have fear of failure, problems of understanding” - “Increase work performance”
- “Elimination of personnel by machinery use” - “Increasing productivity through daily operation in the service, healthcare”
- “Replacement of employees” - “More productivity”
- […] - “More profit for the company”
Ambiguous (Interaction design/Operation and supervision) - As system complexity increase, so might the cognitive workload of operators
- Controlling more than two robotic systems can decrease performance and increase error rate - Effective HRI is achieved by considering both humans and robots [abilities]
- “Difficulties in examining the use, not related to the technology” - The mental status of the human partner plays an important part in the collaboration […]. [It is proposed to] adjust the human workload according to the stress level of the operator
- “Service and manipulation in production”
Organisational
Training - Cognitive overload of workers [due to constant need for learning]
- [Industry 4.0 incl. robots] is driven forward more quickly than training and education institutes are able to adapt the qualification profile of existing and future workers
- “Knowledge when using it”
- “Problem in robot learning (use)”
Change management - Without effective human leadership, and material resources operators will struggle to be effective - Robots will support demographic and diverse team structures
- Fear, that increasing digitization will result in a large wave of unemployment - Participation, communication, manager support, training, worker empowerment and existing process [are process enabler when introducing a robotic system]
- Union membership, awareness of process complexity, manual process variability and [scarcity of] resources [are barriers]
- “Destruction of many jobs, chance for a basic income” - “When we manage to implement it in the environment it certainly picks up the acquisition of the yield, the work done”
- “Not in the short-term. Think that a lot of time is needed for the work on the shop floor”
Introduction process