Abstract
The present experiment used a task-based approach to examine participants social signal recognition of an EMYS robot head and whether autistic traits, measured by the Autism-spectrum quotient (AQ), mediated this recognition. In line with Autism spectrum disorder (ASD) research, we predicted that participants with high AQ scores would produce more social signal recognition errors. In the task participants (N = 57) offered RFLD-tagged objects to a fullbodied FLASH robot (called Alyx) and Alyx autonomously reacted with a either an approval or disapproval expression. Data analysis found no relationship between autistic traits and recognition accuracy. The findings are discussed in terms of experimental design and autistic traits.
| Original language | English |
|---|---|
| Title of host publication | 17th International Conference on Autonomous Agents and Multiagent Systems 2018 |
| Publisher | International Foundation for Autonomous Agents and Multiagent Systems |
| Pages | 2239-2241 |
| Number of pages | 3 |
| ISBN (Electronic) | 9781450356497 |
| Publication status | Published - 10 Jul 2018 |
| Event | 17th International Conference on Autonomous Agents and Multiagent Systems 2018 - Stockholm, Sweden Duration: 10 Jul 2018 → 15 Jul 2018 http://celweb.vuse.vanderbilt.edu/aamas18/ |
Publication series
| Name | Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems |
|---|---|
| Volume | 3 |
| ISSN (Print) | 1548-8403 |
| ISSN (Electronic) | 1558-2914 |
Conference
| Conference | 17th International Conference on Autonomous Agents and Multiagent Systems 2018 |
|---|---|
| Abbreviated title | AAMAS 2018 |
| Country/Territory | Sweden |
| City | Stockholm |
| Period | 10/07/18 → 15/07/18 |
| Internet address |
Keywords
- Autism spectrum disorder
- Social robotics
- Social signal processing
ASJC Scopus subject areas
- Artificial Intelligence
- Software
- Control and Systems Engineering