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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,...

    Fang Chen, Jianlong Zhou, Yang Wang, Kun Yu in Robust Multimodal Cognitive Load Measureme… (2016)

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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...

    Fang Chen, Jianlong Zhou, Yang Wang, Kun Yu in Robust Multimodal Cognitive Load Measureme… (2016)

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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...

    Fang Chen, Jianlong Zhou, Yang Wang, Kun Yu in Robust Multimodal Cognitive Load Measureme… (2016)

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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...

    Fang Chen, Jianlong Zhou, Yang Wang, Kun Yu in Robust Multimodal Cognitive Load Measureme… (2016)

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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...

    Fang Chen, Jianlong Zhou, Yang Wang, Kun Yu in Robust Multimodal Cognitive Load Measureme… (2016)

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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...

    Fang Chen, Jianlong Zhou, Yang Wang, Kun Yu in Robust Multimodal Cognitive Load Measureme… (2016)

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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...

    Fang Chen, Jianlong Zhou, Yang Wang, Kun Yu in Robust Multimodal Cognitive Load Measureme… (2016)

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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...

    Fang Chen, Jianlong Zhou, Yang Wang, Kun Yu in Robust Multimodal Cognitive Load Measureme… (2016)

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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...

    Fang Chen, Jianlong Zhou, Yang Wang, Kun Yu in Robust Multimodal Cognitive Load Measureme… (2016)

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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...

    Fang Chen, Jianlong Zhou, Yang Wang, Kun Yu in Robust Multimodal Cognitive Load Measureme… (2016)

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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...

    Fang Chen, Jianlong Zhou, Yang Wang, Kun Yu in Robust Multimodal Cognitive Load Measureme… (2016)

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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...

    Fang Chen, Jianlong Zhou, Yang Wang, Kun Yu in Robust Multimodal Cognitive Load Measureme… (2016)

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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...

    Fang Chen, Jianlong Zhou, Yang Wang, Kun Yu in Robust Multimodal Cognitive Load Measureme… (2016)

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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...

    Fang Chen, Jianlong Zhou, Yang Wang, Kun Yu in Robust Multimodal Cognitive Load Measureme… (2016)

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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 ...

    Fang Chen, Jianlong Zhou, Yang Wang, Kun Yu in Robust Multimodal Cognitive Load Measureme… (2016)

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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.

    Fang Chen, Jianlong Zhou, Yang Wang, Kun Yu in Robust Multimodal Cognitive Load Measureme… (2016)

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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...

    Fang Chen, Jianlong Zhou, Yang Wang, Kun Yu in Robust Multimodal Cognitive Load Measureme… (2016)