Augmented Cognition. Theoretical and Technological Approaches
Springer International Publishing (Verlag)
978-3-030-50352-9 (ISBN)
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.
Cognitive Modeling, Perception, Emotion and Interaction.- User Evaluation of Affective Dynamic Difficulty Adjustment based on Physiological Deep Learning.- Understanding Challenges Presented using Emojis as a Form of Augmented Communication.- Investigation of Biological Signals under the Stimulation of Basic Tastes.- Multimodal Analysis using Neuroimaging and Eye Movements to Assess Cognitive Workload.- Challenges and Prospects of Emotional State Diagnosis in Command and Control Environments.- The Platonic-Freudian Model of Mind: Defining "Self" and "Other" as Psychoinformatic Primitives.- A Preliminary Experiment on the Evaluation of Aroma Effects using biological signals.- Electroencephalography and BCI.- A Neuroimaging Approach to Evaluate Choices and Compare Performance of Tower Air Traffic Controllers during Missed Approaches.- A Multi-Stage Theory of Neurofeedback Learning.- Analyses of Impression Changes and Frontal Lobe Activity While Viewing Videos.- VisualizingEmotion and Absorption through a Low Resolution LED Array: From Electroencephalography to Internet of Things.- Methodology for Detection of ERD/ERS EEG Patterns Produced by Cut Events in Film Fragments.- A Study of Colour using Mindwave EEG Sensor.- Ensemble Usage for Classification of EEG Signals: A Review with Comparison.- A Reliable Neurophysiological Assessment of Stress -- Basic Foundations for a Portable BCI Solution.- AI and Augmented Cognition.- No Free Lunch: Free at Last.- Biomimetic Design in Augmented Cognition.- A Field Theory for Multi-Dimensional Scaling.- Non-Monotonic Bias-Based Reasoning Under Uncertainty.- Explainable Artificial Intelligence: What Do You Need to Know?.- The Way We Think about Ourselves.
Erscheinungsdatum | 18.07.2020 |
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Reihe/Serie | Lecture Notes in Artificial Intelligence | Lecture Notes in Computer Science |
Zusatzinfo | XXIII, 289 p. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 486 g |
Themenwelt | Mathematik / Informatik ► Informatik ► Betriebssysteme / Server |
Informatik ► Software Entwicklung ► User Interfaces (HCI) | |
Schlagworte | Applications • Artificial Intelligence • Cognitive Systems • Computer Hardware • Computer Networks • Computer Science • Computer Security • computer vision • conference proceedings • Education • Engineering • Human-Computer Interaction (HCI) • Image Processing • Informatics • machine learning • Mathematics • Network Protocols • pattern recognition • Research • Robotics • Signal Processing • Software engineering • Telecommunication Systems • User Interfaces • Virtual Reality |
ISBN-10 | 3-030-50352-6 / 3030503526 |
ISBN-13 | 978-3-030-50352-9 / 9783030503529 |
Zustand | Neuware |
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