Title :
Towards a Cognitive Load Aware Multimodal Dialogue Framework for the Automotive Domain
Author :
Nesselrath, Robert
Author_Institution :
German Res. Center for Artifical Intell. (DFKI), Saarbrucken, Germany
Abstract :
A significant aim in developing multimodal HCI for the automotive domain is to keep driver´s distraction low. However, the measurement of the cognitive load is difficult and inaccurate but an approach to predict the effect of dialogue and presentation strategies on this is promising. In this paper we discuss cognitive load in theory and related work, and identify dialogue system components that play a role for monitoring and reducing driver´s distraction. Subsequently we introduce a dialogue system framework architecture that supports cognitive load prediction and situation-dependent decision making & manipulation of the HCI.
Keywords :
cognitive systems; driver information systems; human computer interaction; automotive domain; cognitive load aware multimodal dialogue framework; cognitive load prediction; dialogue system framework architecture; driver distraction; multimodal HCI; situation-dependent decision making; Automotive engineering; Context; Human computer interaction; Load modeling; Speech; Vehicles; HCI; automotive domain; cognitive load measurement; cognitive workload prediction; development toolkit; multimodal dialogue system; multimodal integration; system adaptation;
Conference_Titel :
Intelligent Environments (IE), 2013 9th International Conference on
Conference_Location :
Athens
