Hi

I am a postdoctoral fellow in Department of Psychological and Brain Sciences at Indiana University advised by Linda B. Smith and Chen Yu. I received my dual Ph.D. degree in Computer Science and Cognitive Science from Indiana University in 2018.

My research focuses on studying the development of infant-parent coordination. Interpersonal coordination often requires the organization of a vast array of sensory-motor systems in real time. How are we able to make effective adjustments and respond to others in fractions of a second?

By collaborating with many awesome researchers, I conduct infant-parent interaction experiments and develop novel time-series analysis methods to answer this question. I also use social robotic agents to investigate the effects of different real-time coordinative behaviors in human-robot interaction studies.

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

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

  • Materials on ICIS 2018 workshop Find Structure in Time
  • TIMEVP: Time Series Visualization and Processing Toolkit
  • Cross Recurrence Block Quantification Analysis Toolbox
  • Granger Causality Computation and Stimulation with Point Process Data
  • Invited talks & Organized Workshops

  • Xu, T.L., de Barbaro, K. & Cox, R.F.A. (July 2018). Finding Structure in Time. The 21st International Congress of Infant Studies. Philadelphia, PA, USA.
  • Xu, T.L., Abney, D.H. Smith, L.B. & Yu, C. (July 2018). New Technology Leads to New Discoveries: A Case Study of Using Computational Algorithms to Understand Parent-Infant Interaction @ The 21st International Congress of Infant Studies. Philadelphia, PA, USA.
  • Xu, T.L., Abney, D.H. & Yu, C. (July 2017). Discovering Multicausality in the Development of Coordinated Behavior. The 39th Annual Meeting of the Cognitive Science Society. London, England, UK.
  • Xu, T.L., (May 2017) Investigating Social Contingencies and Temporal Patterns in Multimodal Coordinated Behaviors. Cognitive Interaction Technology Workshop. Bloomington, IN, USA.
  • Xu, T.L. & Yu, C. (August 2016). Quantifying Joint Activities using Cross Recurrence Block Representation. The 38th Annual Meeting of the Cognitive Science Society. Philadelphia, PA, USA.
  • 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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