Mind meets machine

towards a cognitive science of human-machine interactions

Emily S. Cross*, Richard Ramsey

*Corresponding author for this work

Research output: Contribution to journalReview article

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
JournalTrends in Cognitive Sciences
DOIs
Publication statusE-pub ahead of print - 28 Dec 2020

Keywords

  • artificial intelligence
  • cognitive neuroscience
  • HRI
  • social neuroscience
  • social robotics

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