Wai-Tat Fu

Description

Address

Biography

Wai-Tat Fu is an associate professor of Computer Science at the University of Illinois at Urbana-Champaign and is a part-time faculty member in the Human Computer Intelligent Interaction group. He heads the CASCADE (cascade.cs.illinois.edu) lab and is interested in research that lies at the intersection of cognitive science and human-computer interaction. He is the Associate Editor of ACM Transactions on Intelligent Interactive Systems (TiiS) and Topics in Cognitive Science.

Research

Our research lies at the intersection of cognitive science, AI, and human-computer interaction. In general, we are interested in applying knowledge of the human mind to inform design of intelligent systems and interfaces. We are interested in improving human-machine interactions in cognitive tasks such as information search, knowledge exploration, spatial reasoning, remote communication, and interactive skill learning. We conduct empirical experiments, design intelligent interfaces, and develop computational models to characterize and predict cognition computations and how social dynamics emerge from distributed cognition. Specific areas of research are described below. Remote spatial reasoning under uncertainty: How do people communicate spatial information through mobile devices? How can maps and interactions on mobile devices be designed to facilitate spatial inferences and reasoning under uncertainty? How do people utilize spatial cues and landmarks to make spatial inferences? How are spatial cues for indoor and outdoor navigation different? This project aims at understanding and supporting spatial reasoning under uncertainty when spatial knowledge may be distributed across people in remote locations. Selective exposure to online opinions and information: In our daily life, we are constantly facing controversies and choices, from political participation, medical decisions to product purchasing. By leveraging the understanding of user behaviors in the Internet world where diverse perspectives and conflicting viewpoints abound, our goal is to develop technologies and interfaces that promotes critical thinking, unbiased education, and civil discourse. From distributed cognition to collective intelligence: Can a large group of people (the crowd) be more intelligent than the best individual in the group? How can we derive intelligence from the crowd to solve problems, make decisions, foster innovation, and predict the future? What is the role of technologies in collective intelligence? The project aims at understanding how intelligence emerges from distributed cognition. Empirical methods and computational models are used to understand how individual cognitive agents may lead to collective behavioral patterns in various social environments. Information technologies for the aging population: How do we design better information technologies for older users? In many parts of the world, the rapidly increasing aging population demands new research on information technologies that better fit the cognitive and knowledge backgrounds of older users. This project aims at understanding the many facets of aging, and how they impact the use of information technologies.

Cognitive search and learning: Search has always been a crucial process for intelligence. In fact, since the beginning of AI, search has always been a central theme of research. Cognitive search concerns how humans perform search that allows them to achieve higher-level goals such as learning, decision making, or problem solving. This project aims at understanding the nature of cognitive search and how it differs from algorithmic search by machines. Interactive Skill Training: Skill learning in complex, interactive environments has long been an important cognitive science research topic. What is the best way to train people to operate complex machines, drive a car, or fly a plane? How can we capitalize on brain plasticity to design better training methods? This project aims at understanding the nature of interactive skills, and investigate methods to enhance training effects.

Publications

  • 2015
    • Chin, J.; Payne, B.; Fu, W-T.; Morrow, D. G.; Stine-Morrow, E.A. L., Information foraging across the life span: Search and switch in unknown patches. Topics in Cognitive Science, 2015 in press.

  • 2014
    • Liao, Q. V.; Fu, W. T., Can You Hear Me Now? Mitigating the Echo Chamber Effect by Source Position Indicators, 17th ACM conference on Computer Supported Cooperative Work and Social Computing, Baltimore, MD, 2014, 184-196.

    • Liao, Q. V.; Fu, W. T., Expert Voices in Echo Chambers: Effects of Source Expertise Indicators on Exposure to Diverse Opinions, Proceedings of the ACM CHI conference on Human Factors in Computing Systems, Toronto, Canada, 2014.

    • Liao, Q. V.; Fu, W. T., Age Differences in Credibility Judgments of Online Health Information. ACM Transactions on Computer-Human Interaction 2014, 21, (1), DOI: 10.1145/2534410.

    • Chin, J.; Payne, B.R.; Fu, W-T.; Morrow, D.; Stine-Morrow, E.A.L., Information foraging across the life span: Search and switch in unknown patches. Poster of the Cognitive Aging Conference 2014,Atlanta, GA.

  • 2013
    • Fu, W. T.; D'Andrea, L.; Bertel, S., Effects of Communication Methods on Communication Patterns and Performance in a Remote Spatial Orientation Task. Spatial Cognition and Computation 2013, 13, (2), 150-180.

    • Fu, W. T.; Gasper, J.; Kim, S. W.; Effects of an in-Car Augmented Reality System on Improving Safety of Younger and Older Drivers, In 2013 IEEE International Symposium on Mixed and Augmented Reality. IEEE, New York, 2013, 59-66.

    • Fu, W. T.; Lee, H.; Boot, W. R.; Kramer, A. F., Bridging across Cognitive Training and Brain Plasticity: A Neurally Inspired Computational Model of Interactive Skill Learning. Wiley Interdisciplinary Reviews-Cognitive Science 2013, 4, (2), 225-236.

    • Kannampallil, T.; Waicekauskas, K.; Morrow, D.; Kopren, K.; Fu, W. T., External Tools for Collaborative Medication Scheduling. Cognition Technology & Work 2013, 15, (2), 121-131, DOI: 10.1007/s10111-011-0190-7.

  • 2012
    • Fu, W. T.; Dong, W., Collaborative Indexing and Knowledge Exploration: A Social Learning Model. IEEE Intelligent Systems 2012, 27, (1), 39-46.

  • 2011
    • Fu, W.-T.; Chin, J.; Dong, W.; Liao, Q. V., Interactive Skills, In Encyclopedia of the Sciences of Learning; Seel, N. M., Ed.; Springer-Verlag, London, 2011.

    • Kannampallil, T. G.; Waicekauskas, K.; Morrow, D. G.; Kopren, K. M.; Fu, W.-T., External Tools for Collaborative Medication Scheduling, In Cognition, Technology & Work; Springer-Verlag, London, 2011.

    • Fu, W. T., A Dynamic Context Model of Interactive Behavior. Cognitive Science 2011, 35, (5), 874-904.

    • Fu, W. T., A Dynamic Context Model of Interactive Behavior. Cognitive Science 2011, 35.

  • 2010
    • Fu, W. T.; Dong, W., From Collaborative Indexing to Knowledge Exploration: A Social Learning Model. IEEE Intelligent Systems 2010.

    • Fu, W. T.; Kannampallil, T.; Kang, R. G.; He, J. B., Semantic Imitation in Social Tagging. ACM Transactions on Computer-Human Interaction 2010, 17, (3).

  • 2009
    • Chin, J.; Fu, W.-T.; Kannampallil, T., Adaptive Information Search: Age-Dependent Interactions between Cognitive Profiles and Strategies, Proceedings of the 27th annual conference of ACM Computer-Human Interaction (CHI) Conference, Boston, MA, 2009.

    • Kang, R.; Kannampallil, T.; He, J.; Fu, W.-T., Conformity out of Diversity: Dynamics of Information Needs and Social Influence of Tags in Exploratory Information Search, Conformity out of Diversity: Dynamics of Information Needs and Social Influence of Tags in Exploratory Information Search, San Diego, CA, 2009.

    • Kannampallil, T.; Fu, W.-T., Trail Patterns in Social Tagging Systems: Role of Tags as Digital Pheromones, Proceedings of the International conference of Human-Computer Interaction, San Diego, CA, 2009.

    • Moon, J. M., Fu, W.-T. , Where is My Stuff? Augmenting Finding and Re-finding Information by Spatial Locations and Icon Luminance, Proceedings of the International conference of Human-Computer Interaction, San Diego, CA, 2009.

    • Moon, J. M.; Fu, W.-T., Effects of spatial locations and luminance on finding and re-finding information in a desktop environment, Proceedings of the 27th annual conference of ACM Computer-Human Interaction (CHI) Conference, Boston, MA, 2009.

  • 2008
    • Fu, W. T., Is a single-bladed knife enough to dissect human cognition? Commentary on Griffiths et al. Cognitive Science 2008, 32, (1), 155-161.

    • Fu, W. T.; Anderson, J. R., Solving the credit assignment problem: explicit and implicit learning of action sequences with probabilistic outcomes. Psychological Research-Psychologische Forschung 2008, 72, (3), 321-330.

    • Fu, W.-T.; The microstructures of social tagging: A rational model. In Proceedings of the Computer Supported Cooperative Work (CSCW) Conference, San Diego, CA, US, 2008.

    • Fu, W.-T.; SNIF-DM: A Cognitive Model of Information Seeking and Decision Making on the World Wide Web. In Proceedings of the 2nd International Conference on Applied Human Factors, Las Vegas, NV, US, 2008.

    • Fu, W.-T.; Anderson, J.; Dual Learning Processes in Interactive Skill Acquisition. Journal of Experimental Psychology, Applied 2008, 14 (2), 179-191.

  • 2007
    • Fu, W.-T.; Adaptive Tradeoffs Between Exploration and Exploitation: A Rational-Ecological Approach. In Integrated Models of Cognitive Systems; Gray, W. D., Ed.; Oxford University Press: Oxford, 2007; pp. 165-179.

    • Fu, W. T.; Pirolli, P., SNIF-ACT: A cognitive model of user navigation on the World Wide Web. Human-Computer Interaction 2007, 22, (4), 355-412.

  • 2006
    • Fu, W.-T.; Gray, W. D.; Suboptimal Tradeoffs in Information-Seeking. Cognitive Psychology 2006, 52, 195-242.

    • Gray, W. D.; Sims, C. R.; Fu, W.-T.; Schoelles, M. J.; The soft constraints hypothesis: A rational analysis approach to resource allocation for interactive behavior. Psychological Review 2006, 113 (3), 461-482.

    • Fu, W.-T.; Bothell, D.; Douglass, S.; Haimson, C.; Sohn, M.-H.; Anderson, J. A.; Toward a Real-Time Model-Based Training System. Interacting with Computers 2006, 18 (6), 1216-1230.

    • Fu, W. T.; Anderson, J. R. From recurrent choice to skill learning: A reinforcement-learning model. Journal of Experimental Psychology: General 2006, 135 (2), 184-206.

  • 2004
    • Gray, W. D.; Fu, W.-T.; Soft Constraints in Interactive Behavior: The Case of Ignoring Perfect Knowledge In-The-World for Imperfect Knowledge In-The-Head. Cognitive Science 2004, 28 (3), 359-382.

    • Fu, W.-T.; Gray, W. D.; Resolving the paradox of the active user: Stable suboptimal performance in interactive tasks. Cognitive Science 2004, 28 (6), 901-935.

  • 2001
    • Fu, W.-T.; ACT-PRO Action Protocol Analyzer: A Tool for Analyzing Discrete Action Protocols. Behavior Research Methods, Instruments, & Computers 2001 33 (2), 149-158.

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