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

• NCJ Number: 305631
• Author(s): Andrew L. Kun; Oskar Palinko; Zeljko Medenica; Peter A. Heeman
• Date Published: 2013
• Length: 5 pages
• Grant Number(s): 2009-D1-BX-K021
• Agencies: NIJ-Sponsored
• Publication Type: Research (Applied/Empirical)

Annotation

In a driving simulator study, the authors explore the feasibility of using eye pupil diameter to estimate how the cognitive load of the driver changes during a spoken dialogue with a remote conversant.

Abstract

The authors 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. The authors’ 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. (Publisher abstract provided)