On the eeriness of service robots with emotional capabilities
Bibliographic Data
| ID | 8075388 |
|---|---|
| Authors | Markus Appel, Silvana Weber (0000-0002-0911-5686), Stefan Krause (0000-0003-2521-2248), Martina Mara (0000-0003-3447-0556) |
| Year | 2016 |
| Pages | 411-412 |
| Publication date | 2016-03-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | 2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI (CONFERENCE) |
| Publisher | IEEE (PUBLISHER) |
| DOI | 10.1109/hri.2016.7451781 |
| OpenAlex | W4248849028 |
| ISBN | 9781467383707 |
| Language | EN |
| Citations received | 7 |
| References cited | 6 |
The uncanny valley hypothesis suggests that high human-likeness of humanoid robots is associated with feelings of uncanniness (eeriness, creepiness). Based on the literature on mind perception two aspects of human-likeness were distinguished. An experiment showed that a robot's capacity to feel (experience) leads to stronger feelings of uncanniness than a robot's capacity to plan ahead and to exert self-control (agency), which is still more uncanny than a robot's function as a tool. Theoretical and practical implications of this work are discussed
Agency (philosophy · Business · Cognitive psychology · Control (management · Feeling · Function (biology · Geography · Human–computer interaction · Humanoid robot · Mobile robot · Perception · Plan (archaeology · Psychoanalysis · Robot · Service (business · Sociology · Telerobotics · Uncanny · Uncanny valley · AI in Service Interactions · Computer Science · Psychology · Psychology of Moral and Emotional Judgment · Social Robot Interaction and HRI · Artificial Intelligence · Social Psychology
Human Trust in Artificial Intelligence
Mental State Attribution to Robots
More than appearance
Attitudes Toward Attributed Agency
The Use of Social Robots and the Uncanny Valley Phenomenon
(Counter-)stereotypical Gendering of Robots in Care
How Movements of a Non-Humanoid Robot Affect Emotional Perceptions and Trust
| Unique citing works | 7 |
|---|---|
| Citations per year | 1 |
| Citation span | 2019 - 2023 (5) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 7 |