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FGHL 2017 : Faces and Gestures of Human Learning (FGHL) Workshop


When May 30, 2017 - Jun 3, 2017
Where Washington, D.C.
Submission Deadline Feb 1, 2017
Notification Due Mar 1, 2017
Final Version Due Mar 8, 2017
Categories    computer vision   face and gesture recognition   education   intelligent tutoring systems

Call For Papers

Faces and Gestures of Human Learning (FGHL’17) Workshop.
Washington, D.C. -- one day among May 30 - June 3, 2017.
Hosted in conjunction with Automated Face and Gesture Recognition (FG’17) 2017.

Contact: (please put “FGHL” in the subject line)

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


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 -- it is important to encourage interdisciplinary research between computer vision, machine learning, and behavioral scientists to identify fruitful research directions and to make progress on concrete research questions. The goals of this workshop are to (1) bring together researchers from these different fields; and (2) share new research findings and datasets relevant to the intersection of face & gesture recognition and human learning.

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 the cognitive and affective states of their users.
* Conferencing and conversational support systems that facilitate communication between speakers 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.


See the "Invited Speakers" section of


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.

All submissions to FGHL’17 will be handled electronically via Easychair (link will be provided soon).

All papers must use the same formatting and style as for the main conference; see Accepted papers will be published in the workshop section of the FG'17 conference proceedings.

Review will be single-blind, i.e., authors do not need to anonymize their submissions. Each submission will be reviewed by at least two reviewers.

Submission Deadline: February 1st, 2017


Jacob Whitehill, Worcester Polytechnic Institute
Sidney D'Mello, University of Notre Dame


Email: (please put "FGHL" in the subject line)

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