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ORCID19th HCI 2017: Vancouver, BC, Canada
- Dylan D. Schmorrow, Cali M. Fidopiastis:
Augmented Cognition. Neurocognition and Machine Learning - 11th International Conference, AC 2017, Held as Part of HCI International 2017, Vancouver, BC, Canada, July 9-14, 2017, Proceedings, Part I. Lecture Notes in Computer Science 10284, Springer 2017, ISBN 978-3-319-58627-4
Electroencephalography and Brain Activity Measurement
- Bruno Berberian, Jonas Gouraud, Bertille Somon
, Aïsha Sahaï, Kévin Le Goff:
My Brain Is Out of the Loop: A Neuroergonomic Approach of OOTL Phenomenon. 3-18 - Eddy J. Davelaar:
Testing the Specificity of EEG Neurofeedback Training on First- and Second-Order Measures of Attention. 19-27 - Manesh Girn, Caitlin Mills, Eric Laycock, Melissa Ellamil, Lawrence M. Ward, Kalina Christoff:
Neural Dynamics of Spontaneous Thought: An Electroencephalographic Study. 28-44 - Mehdi Hajinoroozi, Zijing Mao, Yuan-Pin Lin, Yufei Huang:
Deep Transfer Learning for Cross-subject and Cross-experiment Prediction of Image Rapid Serial Visual Presentation Events from EEG Data. 45-55 - Olave E. Krigolson, Chad C. Williams, Francisco L. Colino:
Using Portable EEG to Assess Human Visual Attention. 56-65 - Pavle Mijovic, Milos Milovanovic, Ivan Gligorijevic, Vanja Kovic, Ivana Zivanovic-Macuzic, Bogdan Mijovic:
Investigating Brain Dynamics in Industrial Environment - Integrating Mobile EEG and Kinect for Cognitive State Detection of a Worker. 66-78 - Julia A. Mossbridge:
Characteristic Alpha Reflects Predictive Anticipatory Activity (PAA) in an Auditory-Visual Task. 79-89 - Lin Yao, Mei Lin Chen, Xinjun Sheng, Natalie Mrachacz-Kersting, Xiangyang Zhu, Dario Farina, Ning Jiang:
Influence of Spontaneous Rhythm on Movement-Related Cortical Potential - A Preliminary Neurofeedback Study. 90-98 - Jiacai Zhang, Zixiong Zhou:
Multiple Human EEG Synchronous Analysis in Group Interaction-Prediction Model for Group Involvement and Individual Leadership. 99-108 - Jiacai Zhang, Song Liu, Jialiang Li:
Interactive Image Segmentation Method of Eye Movement Data and EEG Data. 109-120
Eye Tracking in Augmented Cognition
- Folami T. Alamudun, Tracy Hammond, Hong-Jun Yoon, Georgia D. Tourassi:
Geometry and Gesture-Based Features from Saccadic Eye-Movement as a Biometric in Radiology. 123-138 - Joseph T. Coyne, Ciara Sibley, Sarah Sherwood, Cyrus K. Foroughi, Tatana Olson, Eric Vorm:
Assessing Workload with Low Cost Eye Tracking During a Supervisory Control Task. 139-147 - Andre V. Harrison, Mark A. Livingston, Derek P. Brock, Jonathan W. Decker, Dennis Perzanowski, Christopher Van Dolson, Joseph Mathews, Alexander Lulushi, Adrienne Raglin:
The Analysis and Prediction of Eye Gaze When Viewing Statistical Graphs. 148-165 - Pujitha Mannaru, Balakumar Balasingam, Krishna R. Pattipati, Ciara Sibley, Joseph T. Coyne:
Performance Evaluation of the Gazepoint GP3 Eye Tracking Device Based on Pupil Dilation. 166-175 - Laura E. Matzen, Michael J. Haass, Kristin M. Divis, Mallory C. Stites:
Patterns of Attention: How Data Visualizations Are Read. 176-191 - Laura A. McNamara, Kristin M. Divis, J. Daniel Morrow, David Perkins:
Eye Tracking for Dynamic, User-Driven Workflows. 192-205 - Patrick Peachock, Nicholas Iovino, Bonita Sharif:
Investigating Eye Movements in Natural Language and C++ Source Code - A Replication Experiment. 206-218 - Jella Pfeiffer, Thies Pfeiffer, Anke Greif-Winzrieth, Martin Meißner, Patrick Renner, Christof Weinhardt:
Adapting Human-Computer-Interaction of Attentive Smart Glasses to the Trade-Off Conflict in Purchase Decisions: An Experiment in a Virtual Supermarket. 219-235 - Ciara Sibley, Cyrus K. Foroughi, Tatana Olson, Cory Moclaire, Joseph T. Coyne:
Practical Considerations for Low-Cost Eye Tracking: An Analysis of Data Loss and Presentation of a Solution. 236-250 - Thomas A. Ulrich, Ronald L. Boring, Steffen Werner, Roger T. Lew:
A Comparison of an Attention Acknowledgement Measure and Eye Tracking: Application of the as Low as Reasonable Assessment (ALARA) Discount Usability Principle for Control System Studies. 251-260
Physiological Measuring and Bio-sensing
- Glory Emmanuel Aviña, Robert G. Abbott, Cliff Anderson-Bergman, Catherine Branda, Kristin M. Divis, Lucie Jelinkova, Victoria Newton, Emily Pearce, Jon Femling:
Rim-to-Rim Wearables at the Canyon for Health (R2R WATCH): Experimental Design and Methodology. 263-274 - Hubert K. Brumback:
Investigation of Breath Counting, Abdominal Breathing and Physiological Responses in Relation to Cognitive Load. 275-286 - Antoinette Leanna Bumatay, Jinsil Hwaryoung Seo:
Investigating the Role of Biofeedback and Haptic Stimulation in Mobile Paced Breathing Tools. 287-303 - Cyrus K. Foroughi, Joseph T. Coyne, Ciara Sibley, Tatana Olson, Cory Moclaire, Noelle Brown:
Pupil Dilation and Task Adaptation. 304-311 - Lucie Jelinkova, Emily Pearce, Christopher Bossart, Risa Garcia, Jon Femling:
Rim-to-Rim Wearables at the Canyon for Health (R2R WATCH): Correlation of Clinical Markers of Stress with Physiological COTS Data. 312-322 - Ryan A. Kirk:
Grounded Approach for Understanding Changes in Human Emotional States in Real Time Using Psychophysiological Sensory Apparatuses. 323-341 - Nancy Mogire, Michael-Brian Ogawa, Brent Auernheimer, Martha E. Crosby:
Augmented Cognition for Continuous Authentication. 342-356 - Victoria Newton, Isabel Solis, Glory Emmanuel Aviña, Jonathan T. McClain, Cynthia King, Kristina T. Rewin Ciesielski:
Analysis of Social Interaction Narratives in Unaffected Siblings of Children with ASD Through Latent Dirichlet Allocation. 357-371 - Blaine Reeder, Paul F. Cook, Paula M. Meek, Mustafa Ozkaynak:
Smart Watch Potential to Support Augmented Cognition for Health-Related Decision Making. 372-382 - Jessica Schwarz, Sven Fuchs:
Multidimensional Real-Time Assessment of User State and Performance to Trigger Dynamic System Adaptation. 383-398 - Siddharth, Aashish N. Patel, Tzyy-Ping Jung, Terrence J. Sejnowski:
An Affordable Bio-Sensing and Activity Tagging Platform for HCI Research. 399-409
Machine Learning in Augmented Cognition
- Bilge Süheyla Akkoca Gazioglu, Muhittin Gökmen:
Facial Expression Recognition from Still Images. 413-428 - Dustin Arendt, Caner Komurlu, Leslie M. Blaha:
CHISSL: A Human-Machine Collaboration Space for Unsupervised Learning. 429-448 - Sarah Bratt:
Toward an Open Data Repository and Meta-Analysis of Cognitive Data Using fNIRS Studies of Emotion. 449-467 - Keith Brawner, Michael W. Boyce:
Establishing Ground Truth on Pyschophysiological Models for Training Machine Learning Algorithms: Options for Ground Truth Proxies. 468-477 - Nick Cramer, Grant Nakamura, Alex Endert:
The Impact of Streaming Data on Sensemaking with Mixed-Initiative Visual Analytics. 478-498 - Monte Hancock, Charles Li, Shakeel Rajwani, Payton Brown, Olivia Hancock, Corinne Lee, Yaniv Savir, Nicolas Nuon, Francesca Michaels:
Some Syntax-Only Text Feature Extraction and Analysis Methods for Social Media Data. 499-509 - Monte Hancock, Chloe Lo, Shakeel Rajwani, Shai Neumann, Dale Franklin, Esnet Gros Negre, Tracy Hollis, Steven Knight, Vikram Tutupalli, Vineet Chintamaneni, Sheila Daniels, Brian Gabak, Venkata Undavalli, Payton Brown, Olivia Hancock:
Using the Hash Tag Histogram and Social Kinematics for Semantic Clustering in Social Media. 510-520 - Robert J. Jasper, Leslie M. Blaha:
Interface Metaphors for Interactive Machine Learning. 521-534 - John Khoury, Charles Li, Chloe Lo, Corinne Lee, Shakeel Rajwani, David Woolfolk, Alexis-Walid Ahmed, Loredana Crusov, Arnold Pérez-Goicochea, Christopher Romero, Rob French, Vasco Ribeiro:
Classifying Tweets Using User Account Information. 535-542 - Rosaleena Mohanty, Anita Sinha, Alexander Remsik, Janerra Allen, Veena A. Nair, Kristin Caldera, Justin Sattin, Dorothy Edwards, Justin C. Williams, Vivek Prabhakaran:
Machine Learning-Based Prediction of Changes in Behavioral Outcomes Using Functional Connectivity and Clinical Measures in Brain-Computer Interface Stroke Rehabilitation. 543-557 - Shai Neumann, Charles Li, Chloe Lo, Corinne Lee, Shakeel Rajwani, Suraj Sood, Buttons A. Foster, Toni Hadgis, Yaniv Savir, Frankie Michaels, Alexis-Walid Ahmed, Nikki Bernobic, Markus Hollander:
Content Feature Extraction in the Context of Social Media Behavior. 558-570 - Mannes Poel:
Detecting Mislabeled Data Using Supervised Machine Learning Techniques. 571-581
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