Measuring Cognitive Load Using Linguistic Features: Implications for Usability Evaluation and Adaptive Interaction Design

摘要: An intelligent adaptable system, aware of a user’s experienced cognitive load, may help improve performance in complex, time-critical situations by dynamically deploying more appropriate output strategies to reduce load. However, measuring load robustly, real-time is not trivial task. Many research studies have attempted assess users’ using different measurements, but these are often unsuitable for deployment real-life applications due high intrusiveness. Relatively novel linguistic behavioral features as potential indices proposed. These be collected implicitly and nonintrusively supporting assessment accordingly allowing adaptive usability evaluation interaction. Results from laboratory experiment show significantly patterns under task complexities levels. Implications the interaction are...