Motivation

The past 8 years have seen rapid growth in new technologies and services that help people learn -- examples include massive open online courses (Coursera, edX, Udacity), foreign language practice software (Duolingo, Rosetta Stone), educational games, and intelligent tutoring systems (Cognitive Tutor). Contemporaneously, the near ubiquity of web cameras in personal computers, mobile phones, and tablets, as well as the proliferation of new sensors (e.g., Oculus Rift, Apple 3-D touch, Kinect) to measure high dimensional and fine-grained movements in the face, eyes, hands, and body, have opened new avenues for modeling, adapting to, and optimizing students’ emotions and behavior in a variety of different human learning contexts. In order to harness these sensing devices to track learners’ emotions and behaviors more efficiently and accurately -- and in a manner that benefits learning -- interdisciplinary research between computer vision, machine learning, and behavioral scientists is important to identify fruitful research directions and to make progress on concrete research questions. 

Time and Place

FGHL'17 will be held as a workshop at the Automatic Face and Gesture (FG) Recognition 2017 conference in Washington, D.C. (May 30-June 3, 2017). The exact date and location of the workshop will be forthcoming.

Invited Speakers (preliminary)

Louis-Philippe Morency, CMU.
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Call for Paper Submissions
Papers can now be submitted via EasyChair.

FGHL'17 is inviting paper submissions relating to face and gesture recognition in human learning contexts. "Human learning” will be interpreted broadly; examples of acceptable topic areas include:
  • Computer vision systems to study classroom behavior, student engagement, teaching styles, etc.
  • Computational models of human facial expression, eye gaze, hand gestures, and/or body movements during learning.
  • Intelligent tutoring systems that adapt to both the cognitive and affective states of their users.
  • Conferencing and conversational support systems that facilitate communication between speaker and listeners.
  • Virtual reality environments for medical and/or military training.
  • Massive open online courses that suggest alternative pathways based on students’ emotional trajectories.
  • Feedback systems to improve the accuracy of workers on crowdsourcing platforms.
Paper submissions must adhere to one of two possible formats:
  • 6-page papers describing novel research results, literature reviews, dataset releases, etc.
  • 2-page extended abstracts describing preliminary results.
Review will be single-blind, i.e., authors do not need to anonymize their submissions.

All papers must use the same formatting and style as for the main conference; see http://www.fg2017.org/index.php/authors/. Accepted papers will be published in the workshop section of the FG'17 conference proceedings. For questions about papers (or the workshop in general), please email Jacob Whitehill at jrwhitehill@wpi.edu with the subject line containing "FGHL".

Important Dates

February 1, 2017: Paper submission deadline.
March 1, 2017: Accept/reject decisions to authors.
March 8, 2017: Camera-ready deadline for accepted papers.

Organizers

Jacob Whitehill, Assistant Professor, Department of Computer Science, Worcester Polytechnic Institute
Sidney D'Mello, Associate Professor, Departments of Computer Science and Psychology, University of Notre Dame

Program Committee (preliminary)

Abhinav Dhall, Indian Institute of Technology Ropar
Gwen Littlewort, Research Scientist, Apple
Ognjen Rudovic, MIT
Karan Sikka, SRI International
Michel Valstar, University of Nottingham