COGAIN symposium program overview

• Accepted papers: 6 short papers, 1 position paper
• Date: 27 May 2021
• Time: 10:00-12:00 (Central European Summer Time)
• Format: Video + optional Live Presentation
• Invited Presentation: TBD

10.00 - 10.05 General introduction

10.05 - 10.35 Interaction Track (Session chair: Augusto Esteves)

EyeTell: Tablet-based Calibration-free Eye-typing using Smooth-pursuit movements (ACM DL)

• Tanya Bafna DTU Management, Technical University of Denmark, Copenhagen, Denmark
• Per Bækgaard Department of Applied Mathematics and Computer Science, Section for Cognitive Systems, Technical University of Denmark, Kgs. Lyngby, Denmark
• John Paulin Paulin Hansen Technical University of Denmark, Kgs. Lyngby, Denmark

Did you Understand this? Leveraging Gaze Behavior to Assess Questionnaire Comprehension (ACM DL)

• Radiah Rivu Bundeswehr University Munich, Neubiberg, Germany
• Yasmeen Abdrabou Bundeswehr University Munich, Munich, Bayern, Germany
• Yomna Abdelrahman Bundeswehr University Munich, Munich, Germany
• Ken Pfeuffer Bundeswehr University Munich, Munich, Germany
• Dagmar Kern GESIS - Leibniz-Institute for the Social Sciences, Cologne, Germany
• Cornelia Neuert GESIS - Leibniz Institute for the Social Sciences, Cologne, Germany
• Dr. Daniel Buschek Department of Computer Science, University of Bayreuth, Bayreuth, Germany
• Florian Alt Bundeswehr University Munich, Munich, Germany

Multi-user Gaze-based Interaction Techniques on Collaborative Touchscreens (ACM DL)

• Ken Pfeuffer Bundeswehr University Munich, Munich, Germany
• Jason Alexander Computer Science, University of Bath, Bath, United Kingdom
• Hans Gellersen Aarhus University, Aarhus, Denmark

10.35 - 11.05 Eye Inferences Track (Session chair: Ken Pfeuffer)

Combining Oculo-motor Indices to Measure Cognitive Load of Synthetic Speech in Noisy Listening Conditions (ACM DL)

• Mateusz Dubiel Strathclyde University, Glasgow, United Kingdom
• Minoru Nakayama Tokyo Institute of Technology, Tokyo, Japan
• Xin Wang National Institute of Informatics, Tokyo, Japan

Using Deep Learning to Predict Saccade Direction from Brain Activity (ACM DL)

• Martyna Beata Płomecka Methods of Plasticity Reasearch, University of Zurich, Zurich, Switzerland
• Ard Kastrati Computer Engineering and Networks Laboratory, ETH Zurich, Zurich, Switzerland

Feasibility of evaluating temporal changes in cognitive load factors using ocular features (ACM DL)

• Tomomi Okano Tokyo Institute of Technology, Tokyo, Japan
• Minoru Nakayama Tokyo Institute of Technology, Tokyo, Japan

11.05 - 11.15 Break

11.15 - 11.20 COGAIN introduction (Marco Porta)

11.20 Position Paper

Gaze Interactive and Attention Aware Low Vision Aids as Future Smart Glasses (ACM DL)

• Fiona Bríd Mulvey Cognitive Systems, Mathematics and Computer Science, Denmark Technical University, Copenhagen, Denmark
• Marek Mikitovic Cognitive Systems, Dept. of Applied Mathematics and Computer Science, Denmark Technical University, Kgs. Lyngby, Denmark
• Mateusz Sadowski Cognitive Systems, Dept. of Applied Mathematics and Computer Science, Denmark Technical University, Kgs. Lyngby, Denmark
• Baosheng Hou Cognitive Systems, Dept. of Applied Mathematics and Computer Science, Denmark Technical University, Kgs. Lyngby, Denmark
• Nils David Rasamoel Cognitive Systems, Dept. of Applied Mathematics and Computer Science, Denmark Technical University, Kgs. Lyngby, Denmark
• John Paulin Paulin Hansen Department of Technology, Management and Economics, Denmark Technical University, Kgs. Lyngby, Denmark
• Per Bækgaard Cognitive Systems, Dept. of Applied Mathematics and Computer Science, Denmark Technical University, Kgs. Lyngby, Denmark

11.30 Discussion

• Q&A of talk
• future work & mobile gaze
• future of COGAIN