Alex Shaw is a member of the INIT Lab and is currently working on the $-Family of Gesture Recognizers project. These are designed to be lightweight, easy to implement recognizers for UI prototypes on touch screens. His work focuses on improving these recognition algorithms to have higher accuracy with gestures provided by children. Alex’s research interests include computer science education, artificial intelligence, intelligent systems, and human-computer interaction.
Information
Email: alexshaw@ufl.edu
Position: Graduate Research Assistant
Projects: $-Family of Gesture Recognizers
Papers
Shaw, A. and Anthony, L. 2016. Analyzing the articulation features of children’s touchscreen gestures. Proceedings of the International Conference on Multimodal Interaction (ICMI’2016), Tokyo, Japan [PDF]
Jain, E., Anthony, L., Aloba, A., Castonguay, A., Cuba, I., Shaw, A., and Woodward, J. 2016. Is the motion of a child perceivably different from the motion of an adult? ACM Transactions on Applied Perception, Volume 13, Issue 4, Article 22, July 2016. [PDF]
Shaw, A. and Anthony, L. 2016. Toward a Systematic Understanding of Children’s Touchscreen Gestures. Extended Abstracts of the ACM Conference on Human Factors in Computing Systems (CHI’2016) , San Jose, CA, 7 May 2016, p.1752-1759. [PDF and Poster]
Woodward, J., Shaw, A., Luc, A., Craig, B., Das, J., Hall Jr, P., Holla, A., Irwin, G., Sikich, D., Brown, Q., Anthony, L. 2016. Characterizing How Interface Complexity Affects Children’s Touchscreen Interactions. ACM Conference on Human Factors in Computing (CHI’2016), San Jose, CA, 7 May 2016, p.1921-1933. [PDF]
Blogposts
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