Augmented Cognition. Neurocognition and Machine Learning

1. Front Matter

   Pages I-XXIV

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2. Electroencephalography and Brain Activity Measurement

   1. Front Matter

      Pages 1-1

      PDF

   2. My Brain Is Out of the Loop: A Neuroergonomic Approach of OOTL Phenomenon

      • Bruno Berberian, Jonas Gouraud, Bertille Somon, Aisha Sahai, Kevin Le Goff

      Pages 3-18

   3. Testing the Specificity of EEG Neurofeedback Training on First- and Second-Order Measures of Attention

      • Eddy J. Davelaar

      Pages 19-27

   4. Neural Dynamics of Spontaneous Thought: An Electroencephalographic Study

      • Manesh Girn, Caitlin Mills, Eric Laycock, Melissa Ellamil, Lawrence Ward, Kalina Christoff

      Pages 28-44

   5. Deep Transfer Learning for Cross-subject and Cross-experiment Prediction of Image Rapid Serial Visual Presentation Events from EEG Data

      • Mehdi Hajinoroozi, Zijing Mao, Yuan-Pin Lin, Yufei Huang

      Pages 45-55

   6. Using Portable EEG to Assess Human Visual Attention

      • Olave E. Krigolson, Chad C. Williams, Francisco L. Colino

      Pages 56-65

   7. Investigating Brain Dynamics in Industrial Environment – Integrating Mobile EEG and Kinect for Cognitive State Detection of a Worker

      • Pavle Mijović, Miloš Milovanović, Ivan Gligorijević, Vanja Ković, Ivana Živanović-Mačužić, Bogdan Mijović

      Pages 66-78

   8. Characteristic Alpha Reflects Predictive Anticipatory Activity (PAA) in an Auditory-Visual Task

      • Julia A. Mossbridge

      Pages 79-89

   9. Influence of Spontaneous Rhythm on Movement-Related Cortical Potential - A Preliminary Neurofeedback Study

      • Lin Yao, Mei Lin Chen, Xinjun Sheng, Natalie Mrachacz-Kersting, Xiangyang Zhu, Dario Farina et al.

      Pages 90-98

   10. Multiple Human EEG Synchronous Analysis in Group Interaction-Prediction Model for Group Involvement and Individual Leadership

       • Jiacai Zhang, Zixiong Zhou

       Pages 99-108

   11. Interactive Image Segmentation Method of Eye Movement Data and EEG Data

       • Jiacai Zhang, Song Liu, Jialiang Li

       Pages 109-120

3. Eye Tracking in Augmented Cognition

   1. Front Matter

      Pages 121-121

      PDF

   2. Geometry and Gesture-Based Features from Saccadic Eye-Movement as a Biometric in Radiology

      • Folami T. Alamudun, Tracy Hammond, Hong-Jun Yoon, Georgia D. Tourassi

      Pages 123-138

   3. Assessing Workload with Low Cost Eye Tracking During a Supervisory Control Task

      • Joseph T. Coyne, Ciara Sibley, Sarah Sherwood, Cyrus K. Foroughi, Tatana Olson, Eric Vorm

      Pages 139-147

   4. The Analysis and Prediction of Eye Gaze When Viewing Statistical Graphs

      • Andre Harrison, Mark A. Livingston, Derek Brock, Jonathan Decker, Dennis Perzanowski, Christopher Van Dolson et al.

      Pages 148-165

   5. Performance Evaluation of the Gazepoint GP3 Eye Tracking Device Based on Pupil Dilation

      • Pujitha Mannaru, Balakumar Balasingam, Krishna Pattipati, Ciara Sibley, Joseph T. Coyne

      Pages 166-175

   6. Patterns of Attention: How Data Visualizations Are Read

      • Laura E. Matzen, Michael J. Haass, Kristin M. Divis, Mallory C. Stites

      Pages 176-191

   7. Eye Tracking for Dynamic, User-Driven Workflows

      • Laura A. McNamara, Kristin M. Divis, J. Daniel Morrow, David Perkins

      Pages 192-205

   8. Investigating Eye Movements in Natural Language and C++ Source Code - A Replication Experiment

      • Patrick Peachock, Nicholas Iovino, Bonita Sharif

      Pages 206-218

This volume constitutes the proceedings of the 11th International Conference on Augmented Cognition, AC 2017, held as part of the International Conference on Human-Computer Interaction, HCII 2017, which took place in Vancouver, BC, Canada, in July 2017. HCII 2017 received a total of 4340 submissions, of which 1228 papers were accepted for publication after a careful reviewing process. The papers thoroughly cover the entire field of Human-Computer Interaction, addressing major advances in knowledge and effective use of computers in a variety of application areas.

The two volumes set of AC 2017 presents 81 papers which are organized in the following topical sections: electroencephalography and brain activity measurement, eye tracking in augmented cognition, physiological measuring and bio-sensing, machine learning in augmented cognition, cognitive load and performance, adaptive learning systems, brain-computer interfaces, human cognition and behavior in complex tasks and environments.

• artificial intelligence
• Brain-Computer Interface (BCI)
• cognitive modeling
• ergonomics
• Human-Computer Interaction (HCI)
• human engineering
• human factors
• intelligent tutoring systems
• Internet
• machine learning
• robotics
• sensors
• signal processing
• social computing
• user interfaces
• virtual reality
• wearable devices

• SoarTech, Orlando, USA

  Dylan D. Schmorrow

• Design Interactive, Inc. , Orlando, USA

  Cali M. Fidopiastis

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