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


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
Publication statusE-pub ahead of print - 28 Dec 2020


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

Fingerprint Dive into the research topics of 'Mind meets machine: towards a cognitive science of human-machine interactions'. Together they form a unique fingerprint.

Cite this