Robots vs. machines: Identifying user perceptions and classifications
- Resource Type
- Conference
- Authors
- Schaefer, Kristin E.; Billings, Deborah R.; Hancock, Peter A.
- Source
- 2012 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support Cognitive Methods in Situation Awareness and Decision Support (CogSIMA), 2012 IEEE International Multi-Disciplinary Conference on. :138-141 Mar, 2012
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
Components, Circuits, Devices and Systems
Service robots
Educational robots
Humans
Educational institutions
Training
Human factors
human-robot interaction
physical characteristics
robot appearance
robot classification
- Language
- ISSN
- 2379-1667
2379-1675
Ways in which people perceive machines as robots can influence their subsequent behavior and interactions. Individuals may make these classification decisions based solely on visual information, and thus the physical form of the entity alone. Participants viewed images of robots from a variety of identified domains and rated each image according to the extent to which they perceive the entity as a machine and the extent to which they viewed it as a robot. Findings suggest that images portraying greater anthropomorphic properties are classified as more robotic. Implications for robot design and trust are discussed.