Abstract
As robots advance from the pages and screens of science fiction into our homes, hospitals, and schools, they are poised to take on increasingly social roles. Consequently, the need to understand the mechanisms supporting human-machine interactions is becoming increasingly pressing. We introduce a framework for studying the cognitive and brain mechanisms that support human-machine interactions, leveraging advances made in cognitive neuroscience to link different levels of description with relevant theory and methods. We highlight unique features that make this endeavour particularly challenging (and rewarding) for brain and behavioural scientists. Overall, the framework offers a way to study the cognitive science of human-machine interactions that respects the diversity of social machines, individuals' expectations and experiences, and the structure and function of multiple cognitive and brain systems.
| Original language | English |
|---|---|
| Pages (from-to) | 200-212 |
| Number of pages | 13 |
| Journal | Trends in Cognitive Sciences |
| Volume | 25 |
| Issue number | 3 |
| Early online date | 28 Dec 2020 |
| DOIs | |
| Publication status | Published - Mar 2021 |
Bibliographical note
Copyright the Author(s) 2020. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.Keywords
- artificial intelligence
- cognitive neuroscience
- HRI
- social neuroscience
- social robotics