Faces and Gestures of Human Learning (FGHL) Workshop
Тезисы до: 01.02.2016
Даты: 30.05.17 — 03.06.17
Область наук: Педагогические;
Е-мейл Оргкомитета: firstname.lastname@example.org
Организаторы: Worcester Polytechnic Institute, University of Notre Dame
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.
Call for Paper Submissions
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.
Веб-сайт конференции: https://sites.google.com/site/fghlworkshop2017/
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