Cross, E. S. and Ramsey, R. (2021) Mind meets machine: towards a cognitive science of human–machine interactions. Trends in Cognitive Sciences, 25(3), pp. 200-212. (doi: 10.1016/j.tics.2020.11.009) (PMID:33384213)
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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.
| Item Type: | Articles |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Cross, Professor Emily |
| Authors: | Cross, E. S., and Ramsey, R. |
| College/School: | College of Medical Veterinary and Life Sciences > School of Psychology & Neuroscience |
| Journal Name: | Trends in Cognitive Sciences |
| Publisher: | Elsevier |
| ISSN: | 1364-6613 |
| ISSN (Online): | 1879-307X |
| Published Online: | 28 December 2020 |
| Copyright Holders: | Copyright © 2020 The Authors |
| First Published: | First published in Trends in Cognitive Sciences 25(3): 200-212 |
| Publisher Policy: | Reproduced under a Creative Commons licence |
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