Contextual Factors in the Appearance of Consumer Robots
Exploratory Assessment of Perceived Anxiety Toward Humanlike Consumer Robots
Bibliographic Data
| ID | 8105984 |
|---|---|
| Authors | Adesegun Oyedele (0000-0003-0162-7561, College of Business Administration, University of Texas–Pan American, Edinburg, Texas., corresponding author), Soon‐kwan Hong (0000-0002-5436-6142), Michael S Minor (College of Business Administration, University of Texas–Pan American, Edinburg, Texas.) |
| Year | 2007 |
| Volume | 10 |
| Issue | 5 |
| Pages | 624-632 |
| Publication date | 2007-10-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | CyberPsychology & Behavior (JOURNAL) |
| Journal identifiers | ISSN: 1094-9313 • E-ISSN: 1557-8364 |
| Publisher | Mary Ann Liebert, Inc (PUBLISHER • US) |
| DOI | 10.1089/cpb.2007.9977 |
| PMID | 17927529 |
| OpenAlex | W2079696054 |
| Language | EN |
| Citations received | 2 |
| References cited | 20 |
The authors use the "uncanny valley theory" as a diagnostic lens to better understand consumers' perceptions of humanlike consumer robots in different contexts. The results demonstrate that individuals were indifferent about the extent of the humanness of robotic images in the context of touching the robots. However, respondents showed more concern for robotic images' similarity to humans in the contexts of communicating with robots, watching robots in a movie, and living in the same house with robots. One key contribution of the study includes the initial empirical foundation for understanding individual evaluation of the appearance of consumer robots in a variety of contexts
Anxiety · Cognitive psychology · Context (archaeology · Exploratory research · Foundation (evidence · Human–computer interaction · Perception · Political science · Popularity · Robot · Sociology · Uncanny valley · Variety (cybernetics · AI in Service Interactions · Computer Science · Human-Animal Interaction Studies · Psychology · Social Robot Interaction and HRI · Artificial Intelligence · History · Social Psychology
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| Citations per year | 0.17 |
|---|---|
| Citation span | 2014 - 2021 (8) |
| Highly cited | No |