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Related Experiment Video

Updated: May 28, 2026

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers
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Published on: January 18, 2020

The impact of perceived human and computer interaction on collaborative learning: insights from the Map Task.

Catherine J Crompton1,2,3, Kelly Wolfe1, Alisdair Tullo1

  • 1Human Cognitive Neuroscience, Department of Psychology, University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ , UK.

Cognitive Processing
|May 27, 2026
PubMed
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Older adults recalled information more accurately when they believed it came from a human partner versus a computer. This highlights the importance of perceived agency in collaborative learning systems for seniors.

Area of Science:

  • Cognitive Psychology
  • Human-Computer Interaction
  • Gerontology

Background:

  • Collaborative learning offers benefits for older adults, but research often focuses on human-human interaction.
  • The impact of human-computer collaboration on older adult learning, particularly regarding perceived agency, is understudied.
  • Previous studies suggest older adults perform better with perceived human partners than computers on certain tasks.

Purpose of the Study:

  • To investigate the effect of perceived agency on collaborative learning performance in older adults using a spatial navigation task.
  • To compare older adults' performance and engagement when collaborating with a perceived human versus a computer assistant.
  • To explore how perceptions of information source influence recall accuracy in older adult collaborative learning.
Keywords:
agingcollaborationempirical studies in accessibilityhuman-centered computinghuman-computer interactionlearningolder adultsrecall

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Main Methods:

  • Employed a Wizard-of-Oz paradigm where older adults (66-79 years) interacted with a system they believed was either a human or a computer.
  • Utilized an adapted Map Task, a measure of spatial cognition requiring collaborative route reproduction through conversation.
  • Assessed performance based on recall accuracy and participant engagement with their partner.

Main Results:

  • Participants showed similar engagement levels with both perceived human and computer partners.
  • Recall accuracy was significantly higher when information was provided by the perceived human partner compared to the computer.
  • Negative perceptions of computer-provided information may have contributed to the observed differences in recall.

Conclusions:

  • Perceived agency plays a crucial role in collaborative learning outcomes for older adults, impacting information recall.
  • Findings suggest that the design of voice-based learning systems for older users should consider strategies to enhance trust and positive perceptions of the system.
  • Future research should validate these findings in larger, diverse samples of older adults to inform the development of effective learning technologies.