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Updated: May 17, 2025

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Pupil Responses During Interactive Conversation.

Benjamin Masters1, Susan Aliakbaryhosseinabadi2,3, Dorothea Wendt2,3

  • 1Systems Design Engineering, University of Waterloo, Waterloo, Ontario, Canada.

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|May 14, 2025
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Summary
This summary is machine-generated.

This study shows how pupil responses can track conversational turn-taking, offering a new way to measure listening effort during speech interactions.

Keywords:
listening effortpupillometrytemporal response functionturn-taking

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Area of Science:

  • Auditory Neuroscience
  • Human-Computer Interaction
  • Psycholinguistics

Background:

  • Pupillometry is a tool for measuring cognitive effort in listening tasks.
  • Quantifying listening effort in natural conversations is challenging due to divided attention between listening and speech production.
  • Existing methods struggle to isolate listening effort during dynamic conversational exchanges.

Purpose of the Study:

  • To develop and validate a novel pupillometry-based method for measuring listening effort during natural conversation.
  • To analyze pupillary responses to conversational state changes, specifically turn-taking.
  • To investigate individual and environmental influences on pupillary responses during dialogue.

Main Methods:

  • Collected pupillometry data from 12 pairs of normal-hearing participants engaged in conversation.
  • Derived pupillary temporal response functions to conversational turn-taking events.
  • Accounted for potential confounding effects of eye-gaze behavior on pupil size.
  • Analyzed response consistency across participants and varying acoustic conditions.

Main Results:

  • Pupil responses were found to be time-synchronous with conversational turn-taking.
  • Consistent patterns in pupillary responses to turn-taking were observed across participants.
  • Differences in response patterns were noted across different acoustic environments.
  • Preliminary analysis suggests pupil response variations correlate with expected effort allocation in conversation.

Conclusions:

  • Pupillometry offers a viable, non-invasive method for quantifying listening effort in real-time conversations.
  • The developed method reliably tracks conversational dynamics, specifically turn-taking.
  • Findings provide insights into the cognitive load associated with maintaining conversational flow and effort direction.