Friend or Foe? Understanding Assembly Workers’ Acceptance of Human-robot Collaboration
Bibliographic Data
| ID | 22190815 |
|---|---|
| Authors | Antonia Meissner (Technical University of Munich), Angelika Trübswetter (YOUSE GmbH, Florastraße, Berlin, Germany), Antonia S Conti-Kufner (Technical University of Munich), Jonas Schmidtler (0000-0002-8772-0515, Technical University of Munich) |
| Year | 2021 |
| Volume | 10 |
| Issue | 1 |
| Pages | 1-30 |
| Publication date | 2021-03-31 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ACM Transactions on Human-Robot Interaction (JOURNAL) |
| Journal identifiers | ISSN: 2573-9522 • E-ISSN: 2573-9522 |
| Publisher | Association for Computing Machinery (ACM) (PUBLISHER) |
| DOI | 10.1145/3399433 |
| OpenAlex | W3042300370 |
| Language | EN |
| Citations received | 16 |
| References cited | 84 |
Due to rising demands on productivity and flexibility, assembly processes are currently experiencing a substantial transformation. Workstations where humans and robots work closely together are becoming increasingly popular, as they provide major advantages compared to manual assembly and full automation. Yet, human-robot collaboration (HRC) can only be successful if the workforce is willing to accept it. How assembly workers perceive HRC still has to be properly investigated. An exploratory investigation using a Grounded Theory approach was conducted to identify factors that are likely to influence workers’ acceptance of introducing HRC at work. Seventeen workers with various levels of HRC experience from four different manufacturing companies were interviewed. Findings reveal that some workers perceive HRC as a threat, while others regard it as an opportunity. This perception seems to depend both on their thoughts and feelings about the technology, i.e., collaborative robots, and the organizational change associated with the introduction of this technology. Several factors related to the robot (object-related factors), the individual background of the workers (subject-related factors), and the organizational environment (context-related factors) are found to influence workers’ thoughts and feelings. Implications for researchers and manufacturing companies are outlined
Automation · Business · Exploratory research · Feeling · Knowledge management · Management · Perception · Political science · Productivity · Robot · Sociology · Workforce · AI in Service Interactions · Computer Science · Digital Transformation in Industry · Engineering · Human-Automation Interaction and Safety · Psychology · Social Psychology · Artificial Intelligence
Facing with Collaborative Robots
Translation, Adaptation, and Validation in Portuguese of an Acceptance Scale for Human–Robot Interaction in an Industrial Context
Enhancing Cobot Design Through User Experience Goals
How Linguistic Framing Affects Factory Workers' Initial Trust in Collaborative Robots
Collaborative Robots and Tangled Passages of Tactile-Affects
Behavioral Effects of a Delivery Drone on Feelings of Uncertainty
“Robot Emotions Are Not Real!”
Brain–Behavior Relationships of Trust in Shared Space Human–Robot Collaboration
Variable Autonomy through Responsible Robotics
Transitioning towards human–robot synergy in agriculture
Fostering trust in human-robot interaction via perspective-taking and anthropomorphism
Technology paternalism and smart products
Evaluation of User Experience in Human–Robot Interaction
Evaluating the Effect of Speed and Acceleration on Human Factors during an Assembly Task in Human–Robot Interaction (HRI)
Pilot Study on the Relationship Between Acceptance of Collaborative Robots and Stress
Towards Worker-Centered Warehouse Robots
Trust in a specific technology
Quo vadis TAM?
Personality and technology acceptance
Extending the technology acceptance model with task–technology fit constructs
Application of Social Cognitive Theory to Training for Computer Skills
The Legacy of the Technology Acceptance Model and a Proposal for a Paradigm Shift.
Change Recipients’ Reactions to Organizational Change
Personal Computing
Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation
Integrating technology readiness into technology acceptance
Assessing IT Usage
Determinants of Perceived Ease of Use
Research Note —How Does Personality Matter? Relating the Five-Factor Model to Technology Acceptance and Use
Understanding Changes in Belief and Attitude Toward Information Tech Nology Usage
A Meta-Analysis of Factors Affecting Trust in Human-Robot Interaction
Uncertainty During Organizational Change
Why do people use information technology? A critical review of the technology acceptance model
Exploring influencing variables for the acceptance of social robots
A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions
The Adoption of Radical and Incremental Innovations
Can we control it? Autonomous robots threaten human identity, uniqueness, safety, and resources
Status quo bias in decision making
The theory of planned behavior
User Acceptance of Information Technology
A Theoretical Extension of the Technology Acceptance Model
Implicit social cognition
Technology Acceptance Model 3 and a Research Agenda on Interventions
Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology
User Acceptance of Computer Technology
You Want Me to Trust a Robot? The Development of a Human–Robot Interaction Trust Scale
The Development of a Scale to Evaluate Trust in Industrial Human-robot Collaboration
Assessing Acceptance of Assistive Social Agent Technology by Older Adults
Social Acceptance of Robots in Different Occupational Fields
A Motivational Perspective on Job Insecurity
Whose Job Is It Anyway? A Study of Human-Robot Interaction in a Collaborative Task
Reducing Confusion about Grounded Theory and Qualitative Content Analysis
You’re Fired,” Says the Robot
Progress on a cognitive-motivational-relational theory of emotion
Attitudinal Change in Elderly Citizens Toward Social Robots
The influence of people’s culture and prior experiences with Aibo on their attitude towards robots
Human-robot interaction
Evaluating Human-Robot Interaction
Trust as indicator of robot functional and social acceptance. An experimental study on user conformation to iCub answers
To Err is Human(-like)
| Unique citing works | 16 |
|---|---|
| Citations per year | 3,2 |
| Citation span | 2021 - 2026 (6) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 15 |