On the feasibility of using pupil diameter to estimate cognitive load changes for in-vehicle spoken dialogues

Andrew L. Kun; Oskar Palinko; Zeljko Medenica; Peter A. Heeman

On the feasibility of using pupil diameter to estimate cognitive load changes for in-vehicle spoken dialogues

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

Institute on Development & Disability

Research output: Contribution to journal › Conference article › peer-review

18 Scopus citations

Abstract

In a driving simulator study, we explore the feasibility of using pupil diameter to estimate how the cognitive load of the driver changes during a spoken dialogue with a remote conversant. We confirm that it is feasible to use pupil diameter to differentiate between parts of the dialogue that increase the cognitive load of the driver, and those that decrease it. Our long term goal is to build a spoken dialogue system that can adapt its behavior when the driver is under high cognitive load, whether from the driving task or the dialogue task.

Original language	English (US)
Pages (from-to)	3766-3770
Number of pages	5
Journal	Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
State	Published - Jan 1 2013
Event	14th Annual Conference of the International Speech Communication Association, INTERSPEECH 2013 - Lyon, France Duration: Aug 25 2013 → Aug 29 2013

Keywords

Cognitive load
Dialog
Driving
Pupil diameter

ASJC Scopus subject areas

Language and Linguistics
Human-Computer Interaction
Signal Processing
Software
Modeling and Simulation

Cite this

On the feasibility of using pupil diameter to estimate cognitive load changes for in-vehicle spoken dialogues. / Kun, Andrew L.; Palinko, Oskar; Medenica, Zeljko; Heeman, Peter A.

In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, 01.01.2013, p. 3766-3770.

Research output: Contribution to journal › Conference article › peer-review

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AB - In a driving simulator study, we explore the feasibility of using pupil diameter to estimate how the cognitive load of the driver changes during a spoken dialogue with a remote conversant. We confirm that it is feasible to use pupil diameter to differentiate between parts of the dialogue that increase the cognitive load of the driver, and those that decrease it. Our long term goal is to build a spoken dialogue system that can adapt its behavior when the driver is under high cognitive load, whether from the driving task or the dialogue task.

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On the feasibility of using pupil diameter to estimate cognitive load changes for in-vehicle spoken dialogues

Abstract

Keywords

ASJC Scopus subject areas

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