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Chapter and Conference Paper
Effects of Uncertainty and Cognitive Load on User Trust in Predictive Decision Making
Rapid increase of data in different fields has been resulting in wide applications of Machine Learning (ML) based intelligent systems in predictive decision making scenarios. Unfortunately, these systems appe...
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Book
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Chapter
Speech Signal Based Measures
This chapter reviews cognitive load measurement methods via speech with typical experiments to induce different cognitive load levels via speech being introduced. Various speech features are then investigated,...
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Chapter
Mouse Based Measures
This chapter demonstrates the applicability of mouse interactivity based features as indicators of a user’s cognitive load. The chapter begins by introducing some basics of user mouse interaction. Then the tem...
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Chapter
Multimodal Measures and Data Fusion
This chapter presents a model for multimodal cognitive load. The features extracted from speech, pen input and GSR in a user study are fused using the AdaBoost boosting algorithm to demonstrate the methods adv...
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Chapter
Stress and Cognitive Load
This chapter investigates the effect of stress on cognitive load measurement using GSR as a physiological index of CL. The experiment utilises feelings of lack of control, task failure and social-evaluation to...
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Chapter
Dynamic Cognitive Load Adjustments in a Feedback Loop
This chapter presents a cognitive load adaptation model that dynamically adjusts workload during human-machine interaction, in order to keep the task demands at an appropriate level. Physiological signals such...
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Chapter
Applications of Cognitive Load Measurement
In this chapter, we present some typical application examples of cognitive load assessment and demonstrate the feasibility and applicability of multimodal cognitive load measurement approaches in various appli...
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Chapter
Eye-Based Measures
This chapter investigates the measurement of cognitive load through eye tracking under the influence of varying luminance conditions. We demonstrate how reliable measurements can be achieved via this non-intru...
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Chapter
Linguistic Feature-Based Measures
This chapter discusses methods for cognitive load examination via language and shows that many features, some of which were originally designed to examine language complexity for learning analytics or comprehe...
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Chapter
Pen Input Based Measures
This chapter introduces methods to examine cognitive load via writing and pen-based features, including writing velocity, pen pressure, writing gestures and additional features derived from these signals. Base...
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Chapter
Emotion and Cognitive Load
This chapter investigates pupillary response and GSR as a cognitive load measure under the influence of such confounding factors. A video-based eye tracker is used to record pupillary response and GSR is recor...
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Chapter
Introduction
Mental workload is an increasingly important determinant of the performance of human-machine systems. As the power, complexity and ubiquity of both everyday and specialised computing solutions increase, the li...
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Chapter
Real-Time Cognitive Load Measurement: Data Streaming Approach
In this chapter, we discuss how the efficacy of intelligent user interfaces would be greatly enhanced if a user’s cognitive load could be sensed in real time and adjustments made accordingly. Monitoring differ...
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Chapter
Cognitive Load Measurement in Perspective
Cognitive load is a significant factor in various application areas such as human-computer interaction (HCI), adaptive automation and training, traffic control, performance prediction, driving safety, and mili...
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Chapter
Galvanic Skin Response-Based Measures
This chapter focuses on the use of Galvanic Skin Response (GSR) for cognitive load measurement. GSR is a measure of conductivity of human skin, and provides an indication of changes within the human sympatheti...
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Chapter
The State-of-The-Art
Chapter 2 provides an overview of the latest developments in this body of work. Firstly, different approaches to the problem of measuring cognitive load are ...
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Chapter
Trust and Cognitive Load
This chapter investigates the relationship between trust perception and cognitive load. An experimental platform is designed and employed to collect multimodal data and different types of analyses are conducted.
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Chapter
Theoretical Aspects of Multimodal Cognitive Load Measures
In Chap. 3, the theoretical aspects that result in the framework for Multimodal Cognitive Load Measures (MCLM) are discussed. This chapter brings together th...