Mind meets machine: towards a cognitive science of human–machine interactions (original) (raw)

Cross, Emily S. ORCID: https://orcid.org/0000-0002-1671-5698 and Ramsey, Richard(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)

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.

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Funder and Project Information

SOCIAL ROBOTS

Emily Cross

677270

NP - Centre for Neuroscience

Philip Leverhulme Prize - EC

Emily Cross

PLP-2018-152

NP - Centre for Neuroscience

Deposit and Record Details