When do we interact multimodally?: cognitive load and multimodal communication patterns
Proceedings of the 6th international conference on Multimodal interfaces
Using pen input features as indices of cognitive load
Proceedings of the 9th international conference on Multimodal interfaces
HCI Beyond the GUI: Design for Haptic, Speech, Olfactory, and Other Nontraditional Interfaces
HCI Beyond the GUI: Design for Haptic, Speech, Olfactory, and Other Nontraditional Interfaces
Integrating semantics into multimodal interaction patterns
MLMI'07 Proceedings of the 4th international conference on Machine learning for multimodal interaction
Review: Integrating cognitive load theory and concepts of human-computer interaction
Computers in Human Behavior
Teaching athletes cognitive skills: detecting cognitive load in speech input
BCS '10 Proceedings of the 24th BCS Interaction Specialist Group Conference
Multimodal behavior and interaction as indicators of cognitive load
ACM Transactions on Interactive Intelligent Systems (TiiS) - Special issue on highlights of the decade in interactive intelligent systems
Analysing mouse activity for cognitive load detection
Proceedings of the 25th Australian Computer-Human Interaction Conference: Augmentation, Application, Innovation, Collaboration
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Speech and gesture modalities can allow users to interact with complex applications in novel ways. Often users will adapt their multimodal behaviour to cope with increasing levels of domain complexity. These strategies can change how multimodal constructions are planned and executed by users. In the frame of Baddeley's Theory of Working Memory, we present some of the results from an empirical study conducted with users of a multimodal interface, under varying levels of cognitive load. In particular, we examine how multimodal behavioural features are sensitive to cognitive load variations. We report significant decreases in multimodal redundancy (33.6%) and trends of increased multimodal complementarity, as cognitive load increases.