I am a postdoctoral researcher in the Department of Psychological and Brain Sciences at Indiana University advised by Linda B. Smith at the Cognitive Development Lab. 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 interpersonal coordination and unfolding the coupled dynamics and structures of multimodal sensory-motor behaviors in social interaction. To understand how humans develop the flexible social skills to engage in smooth coordination with each other, I conduct infant-parent interaction experiments with state-of-art wearable sensors, such as head-mounted eye-trackers and wireless motion tracking system. I am also enthused about developing novel time series analysis methods to examine and model the mechanism that underlies real-time social coordination or any sets of complex multivariate time series.
To combat the challenges presented in this data intensive era, I joined a wonderful team of researchers to create Peekbank: an open large-scale eye-tracking data repository on children's word recognition development. With this on-going effort, we aim to address the theoretical and methodological challenges in measuring vocabulary development as well as the replicability and reproducibility issues in psychology at large.
During my Ph.D., I used social robotic agents to investigate the effects of different real-time responsive behaviors and statistical learning models 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.
Zettersten, M., Yurovsky, D., Xu, T. L., Uner, S., Tsui, A., Schneider, R. M., ... & Frank, M. C. (2022). Peekbank: An open, large-scale repository for developmental eye-tracking data of children’s word recognition. PsyArXiv
Zettersten, M., Bergey, C. A., Bhatt, N. S., Boyce, V., Braginsky, M., Carstensen, A., ... & Frank, M. C. (2021). Peekbank: Exploring children's word recognition through an open, large-scale repository for developmental eye-tracking data. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 43, No. 43).
Xu T.L., de Barbaro K., Abney D.H. and Cox R.F.A. (2020). Finding Structure in Time: Visualizing and Analyzing Behavioral Time Series. Frontiers In Psychology. 11:1457. doi: 10.3389/fpsyg.2020.01457 [github]
Yuan, L., Xu, T. L., Yu, C. & Smith, L. B. (2019). Sustained Visual Attention is More Than Seeing. Journal of Experimental Child Psychology, 179, 324-336.
Slone, L.K., Abney, D.H., Borjon, J.I., Chen, C.H., Franchak, J.M., Pearcy, D., Suarez-Rivera, C., Xu, T.L., Zhang, Y., Smith, L.B. and Yu, C. (2018). Gaze in Action: Head-mounted Eye Tracking of Children's Dynamic Visual Attention During Naturalistic Behavior. JoVE (Journal of Visualized Experiments), (141), e58496.
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.
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.
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).
All courses were provided at Indiana University Bloomington