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Augmented cognition : theoretical and technological approaches : 14th International Conference, AC 2020, held as part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19-24, 2020, Proceedings. Part I / Dylan D. Schmorrow, Cali M. Fidopiastis (eds.).

By: (14th : International Conference on Augmented Cognition (14th : 2020 : Online)Contributor(s): Schmorrow, Dylan, 1967- | Fidopiastis, Cali M | International Conference on Human-Computer Interaction (22nd : 2020 : Online)Material type: TextTextSeries: Serienbezeichnung | Lecture notes in computer science ; 12196. | Lecture notes in computer science. Lecture notes in artificial intelligence. | LNCS sublibrary. SL 7, Artificial intelligence.Publication details: Cham : Springer, 2020. Description: 1 online resource (303 p.)Content type: text Media type: computer Carrier type: online resourceISBN: 9783030503536; 3030503534Other title: AC 2020Subject(s): Human-computer interaction -- Congresses | Human engineering -- Congresses | Cognition -- Congresses | Computer networking & communications | Society & social sciences | Educational equipment & technology, computer-aided learning (CAL) | Information retrieval | Machine learning | User interface design & usability | Computers -- Networking -- General | Computers -- Data Processing | Education -- Computers & Technology | Computers -- Information Technology | Computers -- Intelligence (AI) & Semantics | Computers -- User Interfaces | Human-computer interaction | Human engineering | Cognition | Application software | Computer organization | Education -- Data processing | Machine learning | User interfaces (Computer systems)Genre/Form: Conference papers and proceedings. | Electronic books. | Electronic books. Additional physical formats: Print version:: Augmented Cognition. Theoretical and Technological Approaches : 14th International Conference, AC 2020, Held As Part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19-24, 2020, Proceedings, Part IDDC classification: 005.437 LOC classification: QA76.9.U83Online resources: Click here to access online
Contents:
Intro -- Foreword -- HCI International 2020 Thematic Areas and Affiliated Conferences -- Contents -- Part I -- Contents -- Part II -- Cognitive Modeling, Perception, Emotion and Interaction -- User Evaluation of Affective Dynamic Difficulty Adjustment Based on Physiological Deep Learning -- 1 Introduction -- 2 Related Work -- 2.1 Dynamic Difficulty Adjustment -- 2.2 Affective Modeling in Games -- 3 Methodology -- 3.1 Affective Data -- 3.2 Electrodermal Activity -- 3.3 Baseline Affective Models -- 3.4 Affective End-to-End Learning -- 3.5 The Tetris Game -- 3.6 User Study -- 4 Results
4.1 Affective Modeling -- 4.2 User Study -- 5 Discussion -- 5.1 Model Performance -- 5.2 User Perception of Adaptation Methods -- 5.3 Future Work -- 6 Conclusions -- References -- Understanding Challenges Presented Using Emojis as a Form of Augmented Communication -- 1 Introduction -- 1.1 Relevance -- 1.2 Relevance -- 1.3 History -- 2 Difficulties of Building an Emoji Recommender System -- 3 Description of the Task -- 3.1 Contribution -- 4 Related Work -- 5 Dataset and Methods -- 5.1 Methods -- 5.2 Dataset -- 5.3 Word Representations -- 5.4 Personalized Learning
5.5 Next Word Suggestion Algorithm -- 5.6 Mapping from a Word to Emoji -- 5.7 Evaluating Emotion -- 5.8 Scoring -- 5.9 Implementation -- 6 Evaluation Methods -- 7 Analysis -- 8 Conclusion -- 8.1 Multi-variable vs. Binary Classifier -- 8.2 Future Work -- References -- Investigation of Biological Signals Under the Stimulation of Basic Tastes -- 1 Introduction -- 2 Proposal -- 3 Experiment -- 3.1 Subjects -- 3.2 Stimuli -- 3.3 Procedure -- 3.4 EEG and ECG Data Collection -- 4 Experimental Results -- 4.1 Analysis of Signals -- 5 Results -- 6 Conclusion and Future Work -- References
Multimodal Analysis Using Neuroimaging and Eye Movements to Assess Cognitive Workload -- 1 Introduction -- 1.1 Background -- 1.2 Multidimensionality of Cognitive Workload -- 1.3 Multimodal Approach -- 2 Methodology -- 2.1 Participants -- 2.2 Simulator and Sensors Used -- 2.3 Scenario and Task -- 2.4 Data Analysis -- 3 Results -- 3.1 Correlation Between Task, Behavioral and Physiological Measures -- 3.2 Interaction Between Task and Behavioral Measures -- 3.3 Effects of Changes in Drivers and Mediators on Neural and Psychophysiological Measures
3.4 Changes in Neural and Physiological Measures Relative to Each Other -- 4 Discussion -- References -- Challenges and Prospects of Emotional State Diagnosis in Command and Control Environments -- 1 Introduction -- 1.1 Background -- 1.2 Hypotheses -- 2 Methodology -- 2.1 Sample Description -- 2.2 Experimental Task -- 2.3 Operationalization of Variables -- 2.4 Statistical Analysis -- 3 Results -- 4 Discussion -- 4.1 Individual Differences in Facial Expressions of Emotion -- 4.2 Type of Tasks Unsuitable for the Investigation of Emotional States -- 4.3 Methodical Reasons
Summary: This book constitutes the refereed proceedings of 14th International Conference on Augmented Cognition, AC 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020, in July 2020. The conference was planned to be held in Copenhagen, Denmark, but had to change to a virtual conference mode due to the COVID-19 pandemic. From a total of 6326 submissions, a total of 1439 papers and 238 posters has been accepted for publication in the HCII 2020 proceedings. The 21 papers presented in this volume were organized in topical sections as follows: cognitive modeling, perception, emotion and interaction; electroencephalography and BCI; and AI and augmented cognition.
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"Due to the COVID-19 corona virus pandemic and the resolution of the Danish government not to allow events larger than 500 people to be hosted until September 1, 2020, HCII 2020 had to be held virtually."

Intro -- Foreword -- HCI International 2020 Thematic Areas and Affiliated Conferences -- Contents -- Part I -- Contents -- Part II -- Cognitive Modeling, Perception, Emotion and Interaction -- User Evaluation of Affective Dynamic Difficulty Adjustment Based on Physiological Deep Learning -- 1 Introduction -- 2 Related Work -- 2.1 Dynamic Difficulty Adjustment -- 2.2 Affective Modeling in Games -- 3 Methodology -- 3.1 Affective Data -- 3.2 Electrodermal Activity -- 3.3 Baseline Affective Models -- 3.4 Affective End-to-End Learning -- 3.5 The Tetris Game -- 3.6 User Study -- 4 Results

4.1 Affective Modeling -- 4.2 User Study -- 5 Discussion -- 5.1 Model Performance -- 5.2 User Perception of Adaptation Methods -- 5.3 Future Work -- 6 Conclusions -- References -- Understanding Challenges Presented Using Emojis as a Form of Augmented Communication -- 1 Introduction -- 1.1 Relevance -- 1.2 Relevance -- 1.3 History -- 2 Difficulties of Building an Emoji Recommender System -- 3 Description of the Task -- 3.1 Contribution -- 4 Related Work -- 5 Dataset and Methods -- 5.1 Methods -- 5.2 Dataset -- 5.3 Word Representations -- 5.4 Personalized Learning

5.5 Next Word Suggestion Algorithm -- 5.6 Mapping from a Word to Emoji -- 5.7 Evaluating Emotion -- 5.8 Scoring -- 5.9 Implementation -- 6 Evaluation Methods -- 7 Analysis -- 8 Conclusion -- 8.1 Multi-variable vs. Binary Classifier -- 8.2 Future Work -- References -- Investigation of Biological Signals Under the Stimulation of Basic Tastes -- 1 Introduction -- 2 Proposal -- 3 Experiment -- 3.1 Subjects -- 3.2 Stimuli -- 3.3 Procedure -- 3.4 EEG and ECG Data Collection -- 4 Experimental Results -- 4.1 Analysis of Signals -- 5 Results -- 6 Conclusion and Future Work -- References

Multimodal Analysis Using Neuroimaging and Eye Movements to Assess Cognitive Workload -- 1 Introduction -- 1.1 Background -- 1.2 Multidimensionality of Cognitive Workload -- 1.3 Multimodal Approach -- 2 Methodology -- 2.1 Participants -- 2.2 Simulator and Sensors Used -- 2.3 Scenario and Task -- 2.4 Data Analysis -- 3 Results -- 3.1 Correlation Between Task, Behavioral and Physiological Measures -- 3.2 Interaction Between Task and Behavioral Measures -- 3.3 Effects of Changes in Drivers and Mediators on Neural and Psychophysiological Measures

3.4 Changes in Neural and Physiological Measures Relative to Each Other -- 4 Discussion -- References -- Challenges and Prospects of Emotional State Diagnosis in Command and Control Environments -- 1 Introduction -- 1.1 Background -- 1.2 Hypotheses -- 2 Methodology -- 2.1 Sample Description -- 2.2 Experimental Task -- 2.3 Operationalization of Variables -- 2.4 Statistical Analysis -- 3 Results -- 4 Discussion -- 4.1 Individual Differences in Facial Expressions of Emotion -- 4.2 Type of Tasks Unsuitable for the Investigation of Emotional States -- 4.3 Methodical Reasons

4.4 High Performance in Neutral Valence

Includes author index.

This book constitutes the refereed proceedings of 14th International Conference on Augmented Cognition, AC 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020, in July 2020. The conference was planned to be held in Copenhagen, Denmark, but had to change to a virtual conference mode due to the COVID-19 pandemic. From a total of 6326 submissions, a total of 1439 papers and 238 posters has been accepted for publication in the HCII 2020 proceedings. The 21 papers presented in this volume were organized in topical sections as follows: cognitive modeling, perception, emotion and interaction; electroencephalography and BCI; and AI and augmented cognition.

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