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CHI
2002
ACM
14 years 8 months ago
LAFCam: Leveraging affective feedback camcorder
If a video camera recognizes and records affective data from the camera operator, this data can help determine which sequences will be interesting to the camera operator at a late...
Andrea Lockerd, Florian Mueller
AIED
2007
Springer
14 years 1 months ago
How did the e-learning session go? The Student Inspector
Good teachers know their students, and exploit this knowledge to adapt or optimise their instruction. Traditional teachers know their students because they interact with them face-...
Oliver Scheuer, Claus Zinn
PAA
2006
13 years 7 months ago
An empirical study of machine learning techniques for affect recognition in human-robot interaction
Abstract Given the importance of implicit communication in human interactions, it would be valuable to have this capability in robotic systems wherein a robot can detect the motiva...
Pramila Rani, Changchun Liu, Nilanjan Sarkar, Eric...
ITS
2010
Springer
178views Multimedia» more  ITS 2010»
14 years 13 days ago
Learning What Works in ITS from Non-traditional Randomized Controlled Trial Data
The traditional, well established approach to finding out what works in education research is to run a randomized controlled trial (RCT) using a standard pretest and posttest desig...
Zachary A. Pardos, Matthew D. Dailey, Neil T. Heff...
AIED
2005
Springer
14 years 1 months ago
Engagement tracing: using response times to model student disengagement
Time on task is an important predictor for how much students learn. However, students must be focused on their learning for the time invested to be productive. Unfortunately, stude...
Joseph E. Beck