The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Whose Job Is It Anyway? A Study of Human-Robot Interaction in a Collaborative Task
Abstract
The use of autonomous, mobile professional service robots in diverse workplaces is expected to grow substantially over the next decade. These robots often will work side by side with people, collaborating with employees on tasks. Some roboticists have argued that, in these cases, people will collaborate more naturally and easily with humanoid robots as compared with machine-like robots. It is also speculated that people will rely on and share responsibility more readily with robots that are in a position of authority. This study sought to clarify the effects of robot appearance and relative status on human-robot collaboration by investigating the extent to which people relied on and ceded responsibility to a robot coworker. In this study, a 3 × 3 experiment was conducted with human likeness (human, human-like robot, and machine-like robot) and status (subordinate, peer, and supervisor) as dimensions. As far as we know, this study is one of the first experiments examining how people respond to robotic coworkers. As such, this study attempts to design a robust and transferable sorting and assembly task that capitalizes on the types of tasks robots are expected to do and is embedded in a realistic scenario in which the participant and confederate are interdependent. The results show that participants retained more responsibility for the successful completion of the task when working with a machine-like as compared with a humanoid robot, especially when the machine-like robot was…
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From Psychological, Relational, and Emotional Effects of Self-Disclosure After Conversations With a Chatbot (2018) · cites this paper as Hinds, Roberts, & Jones, 2004
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Glikson, E., & Woolley, A. W. (2020) · Academy of Management Annals · doi:10.5465/annals.2018.0057 · Cited by 2,921
A Meta-Analysis of Factors Affecting Trust in Human-Robot Interaction
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Lee, M. K. (2018) · Big Data & Society · doi:10.1177/2053951718756684 · Cited by 1,338
Who Sees Human?: The Stability and Importance of Individual Differences in Anthropomorphism
Waytz, A., Cacioppo, J., & Epley, N. (2010) · Perspectives on Psychological Science · doi:10.1177/1745691610369336 · Cited by 1,228
Acceptance of Healthcare Robots for the Older Population: Review and Future Directions
Broadbent, E., Stafford, R., & MacDonald, B. (2009) · International Journal of Social Robotics · doi:10.1007/s12369-009-0030-6 · Cited by 887
Metadata
- Authors
- Hinds, P., Roberts, T., & Jones, H.
- Venue
- Human-Computer Interaction
- Publisher
- Informa UK Limited
- Published
- 2004-06-01
- Volume
- 19
- Issue
- 1
- Pages
- 151-181
- ISSN
- 0737-0024
- Cited by
- 173
- References
- 5
- Language
- en
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