Mind meets machine : towards a cognitive science of human-machine interactions

Emily S. Cross, Richard Ramsey

Research output: Contribution to journalArticlepeer-review

71 Citations (Scopus)

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 languageEnglish
Pages (from-to)200-212
Number of pages13
JournalTrends in Cognitive Sciences
Volume25
Issue number3
DOIs
Publication statusPublished - Mar 2021

Bibliographical note

Publisher Copyright:
© 2020 The Authors

Open Access - Access Right Statement

© 2020 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

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