Attention Brain
& Cognition Lab
Perceptual expertise
Face recognition
Reading
Object recognition
Object detection
Explainable AI
Science
Tracking
Our lab studies learning and visual cognition through an interdisciplinary approach, using a variety of methods and techniques from artificial intelligence, experimental psychology, psycholinguistics, and cognitive neuroscience to study the mind at different levels of analysis and organisation.
Research Topics
Our current research topics include (but not limited to):
- Eye Movement analysis with Hidden Markov Models, EMHMM toolbox available!
- Deep Neural Network + Hidden Markov Model (DNN+HMM) for modeling eye movements in visual cognition
- Face and visual word recognition
- Eye movements in reading
- Object detection and identification
- Explainable AI and artificial cognition
Equipment
The department of Psychology currently has two Eyelink 1000 eye trackers, two Eyelink Portable Duo eye tracker, and a 64-channel EEG system. In addition, our lab has an Eyelink Portable Duo eye tracker.
[July 23, 2023]
Journal paper on "Tracking Gaze Position from EEG: Exploring the Possibility of an EEG-based Virtual Eye-Tracker."
by Sun, R., Cheng, A., Chan, C., Hsiao, J. H., Private, A., Gao, J., Fong, C., Ding, R., & Tang, A., accepted to
Brain & Behavior.
[April 6, 2023]
- Conference paper on "Cultural differences in the effect of mask use on face and facial expression recognition "
by Zheng, Y., Harpe, S., Yang, A. Y., Hayward, W. G., Palermo, R., & Hsiao, J. H., accepted to Cog Sci 2023 as a full paper.
- Conference paper on "Does enlarging font size facilitate English word and sentence reading in children as beginning readers? "
by Liao, W., & Hsiao, J. H., accepted to Cog Sci 2023 as a full paper.
- Conference paper on "Individual differences in explanation strategies for image classification and implications for explainable AI. "
by Qi, R., Zheng, Y., Yang, Y., Zhang, J., & Hsiao, J. H., accepted to Cog Sci 2023 as a full paper.
- Conference paper on "Humans vs. AI in Detecting Vehicles and Humans in Driving Scenarios. "
by Yang, A., Liu, G., Chen, Y., Qi, R., Zhang, J., & Hsiao, J. H., accepted to Cog Sci 2023 as a full paper.
- Conference paper on "Human Attention-Guided Explainable AI for Object Detection. "
by Liu, G., Zhang, J., Chan, A., & Hsiao, J. H., accepted to Cog Sci 2023 as a full paper.
Attention Brain & Cognition Lab
Department of Psychology
University of Hong Kong
Pokfulam Road, Hong Kong.
