Accommodating individual differences in searching a hierarchical file system
International Journal of Man-Machine Studies
Heart rate variability: indicator of user state as an aid to human-computer interaction
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Suede: a Wizard of Oz prototyping tool for speech user interfaces
UIST '00 Proceedings of the 13th annual ACM symposium on User interface software and technology
Spoken Dialogue Technology: Toward the Conversational User Interface by Michael F. McTear
Computational Linguistics
iPod distraction: effects of portable music-player use on driver performance
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Feasibility and pragmatics of classifying working memory load with an electroencephalograph
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Multimodal inference for driver-vehicle interaction
Proceedings of the 2009 international conference on Multimodal interfaces
Dialogue behaviour under high cognitive load
SIGDIAL '09 Proceedings of the SIGDIAL 2009 Conference: The 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Hang on a sec!: effects of proactive mediation of phone conversations while driving
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
ACM Transactions on Computer-Human Interaction (TOCHI)
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We describe a controlled Wizard-of-Oz study using a medium-fidelity driving simulator investigating how a guided dialog strategy performs when compared to open dialog while driving, with respect to the cognitive loading these strategies impose on the driver. Through our analysis of driving performance logs, speech data, NASA-TLX questionnaires, and bio-signals (heart rate and EEG) we found the secondary speech task to have a measurable adverse effect on driving performance, and that guided dialog is less cognitively demanding in dual-task (driving plus speech interaction) conditions. The driving performance logs and heart rate variability information proved useful for identifying cognitively challenging situations while driving. These could provide important information to an in-car dialog management system that could take into account the driver's cognitive resources to provide safer speech-based interaction by adapting the dialog.