Online-Ressource | |
Titel: | Foundations of Augmented Cognition: Neuroergonomics and Operational Neuroscience |
Titelzusatz: | 10th International Conference, AC 2016, Held as Part of HCI International 2016, Toronto, ON, Canada, July 17-22, 2016, Proceedings, Part I |
Mitwirkende: | Schmorrow, Dylan D. [Hrsg.] |
Fidopiastis, Cali M. [Hrsg.] | |
Verf.angabe: | edited by Dylan D. Schmorrow, Cali M. Fidopiastis |
Verlagsort: | Cham |
Verlag: | Springer |
Jahr: | 2016 |
Umfang: | Online-Ressource (XX, 454 p. 150 illus, online resource) |
Gesamttitel/Reihe: | Lecture Notes in Computer Science ; 9743 |
Lecture Notes in Artificial Intelligence ; 9743 | |
SpringerLink : Bücher | |
Springer eBook Collection : Computer Science | |
ISBN: | 978-3-319-39955-3 |
Abstract: | This volume constitutes the refereed proceedings of the 10th International Conference on Foundations of Augmented Cognition, AC 2016, held as part of the 18th International Conference on Human-Computer Interaction, HCII 2016, which took place in Toronto, Canada, in July 2016. HCII 2016 received a total of 4354 submissions, of which 1287 papers were accepted for publication after a careful reviewing process. The 50 papers presented in this volume were organized in topical sections named: brain-computer interfaces; electroencephalography and brain activity measurement; and cognitive modeling and physiological measuring |
Brain-Computer Interfaces -- Developing an Optical Brain-Computer Interface for Humanoid Robot Control -- Using motor imagery to control brain-computer interfaces for communication -- An online gaze-independent BCI system used dummy face with eyes only region as stimulus -- A Kronecker Product Structured EEG Covariance Estimator for a Language Model Assisted-BCI -- Poor BCI performers still could benefit from motor imagery training -- Predicting EEG Sample Size Required for Classification Calibration -- An SSVEP and Eye Tracking Hybrid BNCI: Potential beyond Communication and Control -- Multi-Brain BCI: Characteristics and Social Interactions -- Comparing EEG Artifact Detection Methods for Real-World BCI -- Examining the Neural Correlates of Incidental Facial Emotion Encoding Within the Prefrontal Cortex Using Functional Near-Infrared Spectroscopy -- Exploring the EEG Correlates of Neurocognitive Lapse with Robust Principal Component Analysis -- Augmenting VR/AR Applications with EEG/EOG Monitoring and Oculo-Vestibular Recoupling -- Electroencephalography and Brain Activity Measurement -- Neural Correlates of Purchasing Decisions in an Ecologically Plausible Shopping Scenario with Mobile fNIR Technology -- Real-time Monitoring of Cognitive Workload of Airline Pilots in a Flight Simulator with fNIR Optical Brain Imaging Technology -- Truthiness: Challenges associated with employing machine learning on neurophysiological sensor data -- Evaluation of Cognitive Control and Distraction using Event-Related Potentials in Healthy Individuals and Patients with Multiple Sclerosis -- Auditory Alarm Misperception in the Cockpit: An EEG Study of Inattentional Deafness -- Multi-Model Approach to Human Functional State Estimation -- Using fNIRS for Realtime Cognitive Workload Assessment -- Modeling and Tracking Brain Nonstationarity in a Sustained Attention Task -- Linking Indices of Tonic Alertness: Resting-State Pupil Dilation and Cingulo-Opercular Neural Activity.-Evaluating Neural Correlates of Constant-Therapy Neurorehabilitation Task Battery: An fNIRS Pilot Study -- Overloaded and Biased? Using augmented cognition to understand the interaction between information overload and cognitive biases -- Session-to-session transfer in detecting steady-state visual evoked potentials with individual training data -- Paired Associative Stimulation with Brain-Computer Interfaces: A New Paradigm for Stroke Rehabilitation -- Single Trial Variability of Event-Related Brain Potentials as an Index of Neural Efficiency during Working Memory -- Cognitive Modelling and Physiological Measuring -- A More Complete Picture of Emotion using Electrocardiogram and Electrodermal Activity to Complement Cognitive Data -- Real-Time Fatigue Monitoring with Computational Cognitive Models -- Introduction to Real-Time State Assessment -- User Abilities in Detecting Vibrotactile Signals on the Feet Under Varying Attention Loads -- Estimate Emotion Method to Use Biological, Symbolic Information Preliminary Experiment -- Job Analysis and Cognitive Task Analysis in National Security Environments -- Measuring the Effect of Tangible Interaction on Design Cognition -- Psychological Baseline Methods and Usage -- Physiological Measures of Arousal during Soldier-Relevant Tasks Performed in a Simulated Environment -- Theoretical versus Mathematical Approach to Modeling Psychological and Physiological Data -- Monitoring attention with embedded frequency markers for simulation environments -- Augmenting Robot Behaviors Using Physiological Measures of Workload State -- Posture-Based Recognition of the Visual Focus of Attention for Adaptive Mobile Information Systems -- Considerations in Physiological Metric Selection for Online Detection of Operator State: A Case Study -- Sensing and Assessing Cognitive Workload across Multiple Tasks | |
DOI: | doi:10.1007/978-3-319-39955-3 |
URL: | Volltext: https://doi.org/10.1007/978-3-319-39955-3 |
DOI: https://doi.org/10.1007/978-3-319-39955-3 | |
Schlagwörter: | (s)Mensch-Maschine-Kommunikation / (s)Kognitionswissenschaft / (s)Erweiterte Realität <Informatik> / (s)Unterstützungssystem <Informatik> / (s)Gehirn-Computer-Schnittstelle / (s)Neurowissenschaften / (s)Computerunterstützte Kommunikation / (s)Adaptives System |
Datenträger: | Online-Ressource |
Sprache: | eng |
Reproduktion: | Printed edition |
Bibliogr. Hinweis: | Erscheint auch als : Druckausgabe: AC (10. : 2016 : Toronto): Foundations of augmented cognition ; Part 1. - [Cham] : Springer, 2016 |
K10plus-PPN: | 1658451724 |
Verknüpfungen: | → Übergeordnete Aufnahme |
Lokale URL UB: | Zum Volltext |
Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg | |
Bestellen/Vormerken für Benutzer des Klinikums Mannheim Eigene Kennung erforderlich | |
Bibliothek/Idn: | UW / m3402165031 |
Lokale URL Inst.: | Zum Volltext |