Using recurrence plots to visualize the temporal dynamics of tutor/student interactions

Brian, Samuel A., Salamanca, Linda P., Whitehill, Jacob, Reilly, Judy S., Bartlett, Marian S., Angus, Daniel and Wiles, Janet (2012). Using recurrence plots to visualize the temporal dynamics of tutor/student interactions. In: 2012 IEEE International Conference On Development and Learning and Epigenetic Robotics (Icdl). IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL), San Diego, United States, (57-58). 7-9 November 2012. doi:10.1109/DevLrn.2012.6400853

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Author Brian, Samuel A.
Salamanca, Linda P.
Whitehill, Jacob
Reilly, Judy S.
Bartlett, Marian S.
Angus, Daniel
Wiles, Janet
Title of paper Using recurrence plots to visualize the temporal dynamics of tutor/student interactions
Conference name IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL)
Conference location San Diego, United States
Conference dates 7-9 November 2012
Proceedings title 2012 IEEE International Conference On Development and Learning and Epigenetic Robotics (Icdl)
Journal name 2012 Ieee International Conference On Development and Learning and Epigenetic Robotics (Icdl)
Place of Publication Washington, United States
Publisher I E E E
Publication Year 2012
Sub-type Fully published paper
DOI 10.1109/DevLrn.2012.6400853
ISBN 9781467349635
9781467349642
Start page 57
End page 58
Total pages 2
Collection year 2013
Language eng
Abstract/Summary Non-verbal behavior is a mode of human interaction that is critical to communication, especially in situations where speech is sparse. In this study, we developed novel visualizations (called behavioral recurrence plots) to reveal the non-verbal behavior patterns of a tutor instructing a thirteen year old student in a mathematical problem, and the time-locked responses of the student solving a series of problems. In the first phase of analysis, video recordings were manually annotated to document the participants' speech, behavior, gesturing, fidgeting, and eye gaze over time, and automatic detection of movement was used to extract gross human motion. In a second phase of analysis, recurrence plots were used to visualize the interaction dynamics between the tutor's behaviors and between the tutor and student. The recurrence plots reveal the global structure of the tutoring session, points of interest and transitions, as well as interactions between the many modes of non-verbal communication.
Keyword Human interaction
Human motion
Learning dynamics
Recurrence plots
Q-Index Code E1
Q-Index Status Confirmed Code
Institutional Status UQ

 
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