Human Mental Workload: Models and Applications: 5th International Symposium, H-WORKLOAD 2021, Virtual Event, November 24–26, 2021, Proceedings (Communications in Computer and Information Science)

This book constitutes the refereed proceedings of the 5th International Symposium on Human Mental Workload: Models and Applications, H-WORKLOAD 2021, held virtually in November 2021. The volume presents 9 revised full papers, which were carefully reviewed and selected from 16 submissions. The papers are organized in two topical sections on models and applications. Preface Organization Contents Models In Search of the Redline: Perspectives on Mental Workload and the ‘Underload Problem’ 1 Tackling Mental Workload 2 Automation and/or Underload 3 Underload and Redlines 4 Conclusions References A Novel Parabolic Model of Instructional Efficiency Grounded on Ideal Mental Workload and Performance 1 Introduction 2 Related Work 2.1 Cognitive Load and Its Theory 2.2 Instructional Efficiency 2.3 Mental Effort and Mental Workload 2.4 Discussion on Instructional Efficiency Models and Assumptions 3 Design and Methodology 3.1 Research Hypothesis and Comparative Design 3.2 Evaluation Criteria 4 Results and Evaluation 4.1 Concurrent Validity 4.2 Discriminant Validity 4.3 Information Gain 5 Summary and Future Work References Radical Connectionism – Implications for Mental Workload Research 1 Introduction 2 Analogue Computation 3 The Brain as an Analogue Computer 4 Consequences for Mental Workload Theory 5 Conclusions References Fundamental Frequency as an Alternative Method for Assessing Mental Fatigue of Distance Learning Teachers 1 Introduction: Mental Workload and Mental Fatigue of Teachers 2 Tools for Measuring Mental Workload and Mental Fatigue in E-learning 3 Methodology 3.1 Materials and Instruments 3.2 Participants 3.3 Procedure 4 Results 4.1 First Experimental Group: University Lecturers 4.2 Second Experimental Group: Secondary School Teacher 5 Discussion 6 Conclusions and Further Research References A Systematic Review of Older Drivers in a Level 3 Autonomous Vehicle: A Cognitive Load Perspective 1 Introduction 1.1 Challenges of Older Drivers 1.2 Autonomous Vehicles 1.3 Takeover Request 1.4 Workload of a Takeover Request 2 Materials and Methods 2.1 Problem Statement 2.2 Search Strategy 2.3 Scope of the Review and Inclusion/Exclusion Criteria 3 Results 3.1 Takeover Measures 4 Discussion 5 Future Work A Appendix References Applications On EEG Preprocessing Role in Deep Learning Effectiveness for Mental Workload Classification 1 Introduction 2 Background 2.1 Mental Workload Prediction 3 Methodology 3.1 Data Acquisition 3.2 EEG Preprocessing 3.3 EEG Feature Extraction and Selection 3.4 Models 3.5 Tasks 3.6 Feature Standardisation 3.7 Metrics 3.8 Experimental Procedure 4 Results and Discussion 5 Conclusion References Mental Workload Assessment in Military Pilots Using Flight Simulators and Physiological Sensors 1 Introduction 2 Military Aviation 3 Proposed Method 3.1 Characterization of the Experiment 3.2 Profile of Flights Performed 3.3 Sample of Crews 3.4 Physiological Sensors Used 3.5 Questionnaires 3.6 Sequence of Actions 4 Results and Discussions 4.1 Preliminary Interview 4.2 Nasa-Tlx 4.3 PVT Test 4.4 GSR Sensor 4.5 ECG Sensor 5 Conclusion References Exploring the Influence of Information Overload, Internet Addiction, and Social Network Addiction, on Students’ Well-Being and Academic Outcomes 1 Introduction 1.1 Mental Workload 1.2 Information Overload 1.3 Internet Addiction 1.4 Impulse-Control Disorder Model 1.5 Cognitive-Behavioural Model 1.6 Social Networks Addiction 1.7 Problematic Internet Use and Well-Being 1.8 The Well-Being Process 2 Measures 2.1 The Perceive Information Overload Scale 2.2 Internet Addiction Test (IAT) 2.3 Measuring Well-Being 2.4 Bergen Social Media Addiction Scale (BSMAS) 3 The Present Study 4 Methodology 4.1 Ethical Approval 4.2 Sample Size Calculation 4.3 Design 4.4 Participants 4.5 The Survey 4.6 Statistical Analysis 5 Results 5.1 Internet Addiction, PIU and SNA Prevalence 5.2 Pearson Correlation Analysis of Associations Between Information Overload, Internet Addiction, SNA, and Well-Being Variables 5.3 Information Overload, Internet Addiction and SNA Predicting Total Well-Being 5.4 Information Overload, Internet Addiction and SNA Predicting Specific Appraisal and Outcome Measures 5.5 Information Overload, Internet Addiction and SNA Predicting Academic Outcomes 6 Discussion 7 Limitations 8 Conclusions References Examining Cognitive Workload During Covid-19: A Qualitative Study 1 Introduction 1.1 Cognitive Workload and Working from Home 2 Methods 2.1 Participants 2.2 Demographics 2.3 Data Collection 2.4 Data Analysis 3 Results 3.1 Theme 1: From F2F to Technology - Changing Work-Based Impacts CWL 3.2 Technological Interaction Increases Cognitive Workload 3.3 Home Environments Help Optimise Cognitive Workload (CWL) 3.4 Theme 2: Changing Distractions Impacts CWL 3.5 Theme 3: The Lack of Commute Impacts Cognitive Workload 4 Discussion 4.1 Home Cannot Entirely Replace the Office 4.2 Distractions at Home and the Office 4.3 To Commute or not to Commute 4.4 Limitations 4.5 Conclusion References The Relationship Between Workload, Fatigue and Sleep Quality of Psychiatric Staff 1 Introduction 1.1 Mental Workload 1.2 Occupational Fatigue 1.3 Sleep 1.4 Rationale of the Present Research 2 Study 1 2.1 Methods 2.2 Results 2.3 Summary 3 Study 2 3.1 Links Between Studies 1 and 2 3.2 Methods 3.3 Results 3.4 Summary 4 Discussion 4.1 Limitations 5 Conclusion References Author Index