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The future of learning: implications for humans, adaptive systems, and instructional technologies
Taylor & Francis Verlag | 2016| -
The future of learning: implications for humans, adaptive systems, and instructional technologies
British Library Online Contents | 2016| -
Operational Neuroscience: Neuroscience Research and Tool Development to Support the Warfighter
British Library Conference Proceedings | 2011|Contributors: Schmorrow, Dylan -
Dynamic Task Sharing Within Human-UxS Teams: Computational Situation Awareness
Springer Verlag | 2017|Contributors: Schmorrow, Dylan D. -
Dynamic Task Sharing Within Human-UxS Teams: Computational Situation Awareness
British Library Conference Proceedings | 2017| -
Forecasting Return on Investment (ROI) for Naval Aviation Maintenance Safety Initiatives
SAE Technical Papers | 2000| -
A Preliminary Human Factors Analysis of Naval Aviation Maintenance Related Mishaps
SAE Technical Papers | 1998| -
Towards a Closed-Loop Training System: Using a Physiological-Based Diagnosis of the Trainee's State to Drive Feedback Delivery Choices
British Library Conference Proceedings | 2007|Contributors: Schmorrow, Dylan -
Using Stories to Deepen Shared Human-Computer Understanding of PMESII Systems
Springer Verlag | 2016| -
Augmented Cognition and Cognitive State Assessment Technology - Near-Term, Mid-Term, and Long-Term Research Objectives
British Library Conference Proceedings | 2007|Contributors: Schmorrow, Dylan -
An Adaptive Instructional Architecture for Training and Education
British Library Conference Proceedings | 2007|Contributors: Schmorrow, Dylan -
Automated SAF Adaptation Tool (ASAT)
British Library Conference Proceedings | 2007|Contributors: Schmorrow, Dylan -
Nature Inspired Scenes for Guided Mindfulness Training: Presence, Perceived Restorativeness and Meditation Depth
Springer Verlag | 2019|Contributors: Schmorrow, Dylan D. -
Multidimensional Real-Time Assessment of User State and Performance to Trigger Dynamic System Adaptation
Springer Verlag | 2017|Contributors: Schmorrow, Dylan D. -
Gathering People’s Happy Moments from Collective Human Eyes and Ears for a Wellbeing and Mindful Society
Springer Verlag | 2020|Contributors: Schmorrow, Dylan D. -
Biocybernetic Adaptation Strategies: Machine Awareness of Human Engagement for Improved Operational Performance
Springer Verlag | 2018|Contributors: Schmorrow, Dylan D. -
User Evaluation of Affective Dynamic Difficulty Adjustment Based on Physiological Deep Learning
Springer Verlag | 2020|Contributors: Schmorrow, Dylan D. -
Enhancing Audience Engagement Through Immersive 360-Degree Videos: An Experimental Study
Springer Verlag | 2018|Contributors: Schmorrow, Dylan D. -
Foundations of augmented cognition : neuroergonomics and operational neuroscience ; 5th international conference ; proceedings
Catalogue medicine | 2009|Contributors: Schmorrow, Dylan D. -
Automatic Engagement Recognition for Distance Learning Systems: A Literature Study of Engagement Datasets and Methods
Springer Verlag | 2021|Contributors: Schmorrow, Dylan D. -
Towards a Dynamic Selection and Configuration of Adaptation Strategies in Augmented Cognition
Springer Verlag | 2017|Contributors: Schmorrow, Dylan D. -
The Artificial Facilitator: Guiding Participants in Developing Causal Maps Using Voice-Activated Technologies
Springer Verlag | 2019|Contributors: Schmorrow, Dylan D. -
Nuclear Reactor Crew Evaluation of a Computerized Operator Support System HMI for Chemical and Volume Control System
Springer Verlag | 2017|Contributors: Schmorrow, Dylan D. -
Experimental Evaluation of an Adaptive Planning Assistance System in Manned Unmanned Teaming Missions
Springer Verlag | 2020|Contributors: Schmorrow, Dylan D. -
Immersion Versus Embodiment: Embodied Cognition for Immersive Analytics in Mixed Reality Environments
Springer Verlag | 2018|Contributors: Schmorrow, Dylan D. -
UAS Operator Workload Assessment During Search and Surveillance Tasks Through Simulated Fluctuations in Environmental Visibility
Springer Verlag | 2019|Contributors: Schmorrow, Dylan D. -
Deep Transfer Learning for Cross-subject and Cross-experiment Prediction of Image Rapid Serial Visual Presentation Events from EEG Data
Springer Verlag | 2017|Contributors: Schmorrow, Dylan D. -
Artificial Intelligence for Advanced Human-Machine Symbiosis
Springer Verlag | 2018|Contributors: Schmorrow, Dylan D. -
Modeling User Information Needs to Enable Successful Human-Machine Teams: Designing Transparency for Autonomous Systems
Springer Verlag | 2020|Contributors: Schmorrow, Dylan D. -
Brain Activity Changes Elicited Through Multi-session Training Assessment in the Prefrontal Cortex by fNIRS
Springer Verlag | 2021|Contributors: Schmorrow, Dylan D. -
Poor BCI Performers Still Could Benefit from Motor Imagery Training
Springer Verlag | 2016|Contributors: Schmorrow, Dylan D. -
Non-monotonic Bias-Based Reasoning Under Uncertainty
Springer Verlag | 2020|Contributors: Schmorrow, Dylan D. -
Augmenting Clinical Performance in Combat Casualty Care: Telemedicine to Automation
Springer Verlag | 2018|Contributors: Schmorrow, Dylan D. -
Explainable Artificial Intelligence: What Do You Need to Know?
Free accessSpringer Verlag | 2020|Contributors: Schmorrow, Dylan D. -
Acceptability and Normative Considerations in Research on Autism Spectrum Disorders and Virtual Reality
Springer Verlag | 2020|Contributors: Schmorrow, Dylan D. -
Session-to-Session Transfer in Detecting Steady-State Visual Evoked Potentials with Individual Training Data
Springer Verlag | 2016|Contributors: Schmorrow, Dylan D. -
Exploring the Hybrid Space
Theoretical Framework Applying Cognitive Science in Military Cyberspace OperationsSpringer Verlag | 2016|Contributors: Schmorrow, Dylan D. -
The Case for Cognitive-Affective Architectures as Affective User Models in Behavioral Health Technologies
Springer Verlag | 2020|Contributors: Schmorrow, Dylan D. -
Investigating Eye Movements in Natural Language and C++ Source Code - A Replication Experiment
Springer Verlag | 2017|Contributors: Schmorrow, Dylan D. -
Deep Convolutional Neural Networks and Power Spectral Density Features for Motor Imagery Classification of EEG Signals
Springer Verlag | 2018|Contributors: Schmorrow, Dylan D.
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