Hi

I am currently a PhD candidate in Computer Science and Cognitive Science at Indiana University Bloomington advised by Dr. Chen Yu.

I am fascinated by the development of human cognition and coordination - how we change and influence each other in time. I also love data. My research focuses on using new technologies to collect large multimodal datasets and developing new algorithms to investigate principles in developmental science and natural human interaction.

In my PhD, with collaboration with many awesome researchers, we invited children at different ages and their parents to play with toys in our lab. During their interaction, we put head-mounted eye-trackers and various sensors on both participants to collect their gaze, first-personal visual input, speech, manual action and bodily movements in real-time (video). With this high-density voluminous temporal dataset, I employ new computational algorithms and visualization methods to understand the social mechanism in child-parent interaction. With quantitative evidence, we can examine the following questions: How do the coordinated behaviors develop intra-personally and inter-personally? How does the social interaction influence the development of language and other cognitive abilities?

As a computer scientist and cognitive scientist, I firmly believe that the development of human intelligence and the development of machine intelligence "adaboost" each other. "To understand a cognitive process one approach is to engineer the process in AI, for example, in robots" (Barsalou, Breazeal, & Smith, 2007). I also use humanoid robots to test specific hypotheses about human cognition and coordination and further our understanding in designing social robotic agents that one day will exist in every home.

I obtained a M.S. degree in Computer Science at Indiana University Bloomington in 2012, a B.E. degree in Software Engineering at Nanjing University in 2009. I also spent half a year as a visiting student in Computer Science at National Tsing Hua University in 2008.

Publication

Xu, T.L., Abney, D.H. & Yu, C. (2017). Discovering Multicausality in the Development of Coordinated Behavior. Proceedings of the 39th Annual Meeting of the Cognitive Science Society . Austin, TX: Cognitive Science Society.  * accepted as oral presentation (29%) and awarded with The Robert J. Glushko and Pamela Samuelson Foundation Student Travel Award

Yuan, L., Xu, T.L., Yu, C. & Smith, L.B.(2017). Seeing Is Not Enough for Sustained Visual Attention. Proceedings of the 39th Annual Meeting of the Cognitive Science Society . Austin, TX: Cognitive Science Society.

Xu, T. & Yu, C. (2016). Quantifying Joint Activities using Cross-Recurrance Block Representation. Papafragou, A., Grodner, D., Mirman, D., & Trueswell, J.C. (Eds.) Proceedings of the 38th Annual Meeting of the Cognitive Science Society, (pp. 1997-2002) . Austin, TX: Cognitive Science Society.  * accepted as oral presentation (34%) and awarded with The Robert J. Glushko and Pamela Samuelson Foundation Student Travel Award

[talk slides]  [github]  [video1]  [video2]

Xu, T.L. Zhang, H., and Yu, C. (2016). See You See Me: the Role of Eye Contact in Multimodal Human-Robot Interaction. ACM Transactions on Interactive Intelligent Systems, 6(1), 2.

[video]

Yu, C., Xu, T., Zhong, Y., and Zhang, H. (2014). Learning to Interact and Interacting to Learn: Active Statistical Learning in Human-Robot Interaction. In Neural Networks (IJCNN), 2014 International Joint Conference on(pp. 684-691). IEEE.

Xu, T., Zhang, H. & Yu, C. (2013). Cooperative Gazing Behaviors in Human Multi-Robot Interaction. Interaction Studies, 14(3), 390-418.

[video]

Yu, C., Yurovsky, D., and Xu, T.L. (2012). Visual Data Mining: An Exploratory Approach to Analyzing Temporal Patterns of Eye Movements. Infancy, 17(1), 33-60.

Xu, T., Yu, C. & Smith, L.B. (2011). It's the Child's Body: The Role of Toddler and Parent in Selecting Toddler's Visual Experience. Proceedings of IEEE 10th International Conference in Development and Learning and Epigenetic Robotics (ICDL-EpiRob 2011).

 

Resources

  • Cross Recurrence Block Quantification Analysis Toolbox
  • Granger Causality Computation and Stimulation with Point Process Data
  • Invited talks

  • Discovering Multicausality in the Development of Coordinated Behavior @ The 39th Annual Meeting of the Cognitive Science Society. London, England, UK. July, 2017
  • Investigating Social Contingencies and Temporal Patterns in Multimodal Coordinated Behaviors @ Cognitive Interaction Technology Workshop. Bloomington, IN, USA. May, 2017
  • Quantifying Joint Activities using Cross Recurrance Block Representation @ The 38th Annual Meeting of the Cognitive Science Society. Philadelphia, PA, USA. August, 2016
  • Teaching

  • Guest Lecturer, P657 Machine Learning in Cognitive Science, Spring 2017
  • Associate Instructor, B649 Cloud Computing, Spring 2015, Spring 2014
  • Associate Instructor, B555 Machine Learning, Spring 2013
  • Associate Instructor, B461 Database Concepts, Spring 2012
  • Associate Instructor, B565 Data Mining, Spring 2011
  • Associate Instructor, A348/B548 Mastering the World Wide Web, Spring 2010
  • Associate Instructor, A201 Introduction to Programming in Python, Fall 2010, Summer 2010, Fall 2009
  • All courses were provided at Indiana University Bloomington

    Collaborators

  • Chen Yu
  • Linda B. Smith
  • Drew H. Abney
  • Lei Yuan
  • Hui Zhang
  • Daniel Yurovsky
  • Our awesome CCL lab in the beautiful town of Bloomington

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