Linguistic Complexity and Cognitive Workload: Measurement and Management
Asad Sayeed & Vera Demberg
Language & Computation
Week Two - 11.00-12.30 - Level: A
With the rapid expansion of spoken interfaces on smartphones and other ubiquitous devices, language-related cognitive workload is a new issue of importance in system design, particularly related to safety-sensitive areas such as driver distraction. This course focuses on the effect of language and linguistic complexity on human cognitive workload, with an eye towards both practical issues for the implementation of spoken dialogue systems and the greater scientific understanding of the interaction of language and the other components of cognition.
Starting from the current state of science in multitasking experimentation and linguistic complexity measurement, we will present experimental and computational techniques in measuring, analysing, and modeling linguistic workload effects. We will finally discuss these topics in terms of human-computer interaction and user interface design.