Estimating cognitive load using pupil diameter during a spoken dialogue task

Peter A. Heeman, Tomer Meshorer, Andrew L. Kun, Oskar Palinko, Zeljko Medenica

Research output: Chapter in Book/Report/Conference proceedingConference contribution

18 Scopus citations

Abstract

We explore the feasibility of using pupil diameter to estimate how the cognitive load of the driver changes during a spoken dialogue task with a remote conversant. The conversants play a series of Taboo games, which do not follow a structured turn-taking nor initiative protocol. We contrast the driver's pupil diameter when the remote conversant begins speaking with the diameter right before the driver responds. Although we find a significant difference in pupil diameter for the first pair in each game, subsequent pairs show little difference. We speculate that this is due to the less structured nature of the task, where there are no set time boundaries on when the conversants work on the task. This suggests that spoken dialogue systems for in-car use might better manage the driver's cognitive load by using a more structured interaction, such as system-initiative dialogues.

Original languageEnglish (US)
Title of host publicationProceedings of the 5th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2013
Pages242-245
Number of pages4
DOIs
StatePublished - 2013
Event5th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2013 - Eindhoven, Netherlands
Duration: Oct 27 2013Oct 30 2013

Publication series

NameProceedings of the 5th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2013

Other

Other5th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2013
Country/TerritoryNetherlands
CityEindhoven
Period10/27/1310/30/13

Keywords

  • cognitive load
  • driving simulator
  • speech user interfaces

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Software
  • Transportation

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