Affective computing
Discrete-time signal processing (2nd ed.)
Discrete-time signal processing (2nd ed.)
Toward Machine Emotional Intelligence: Analysis of Affective Physiological State
IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
Modeling Students' Emotions from Cognitive Appraisal in Educational Games
ITS '02 Proceedings of the 6th International Conference on Intelligent Tutoring Systems
ICALT '01 Proceedings of the IEEE International Conference on Advanced Learning Technologies
eMoto: emotionally engaging interaction
Personal and Ubiquitous Computing
Inhabited Intelligent Environments
BT Technology Journal
Affective Learning — A Manifesto
BT Technology Journal
A user-independent real-time emotion recognition system for software agents in domestic environments
Engineering Applications of Artificial Intelligence
A Mixed Reality Teaching and Learning Environment
ICHL '08 Proceedings of the 1st international conference on Hybrid Learning and Education
ICHL '08 Proceedings of the 1st international conference on Hybrid Learning and Education
Effect of the food traceability system for building trust: Price premium and buying behavior
Information Systems Frontiers
Unifying heterogeneous e-learning modalities in a single platform: CADI, a case study
Computers & Education
Organizational schemata of e-portfolios for fostering higher-order thinking
Information Systems Frontiers
Understanding web enjoyment experiences and informal learning: A study in a museum context
Decision Support Systems
Mobile messages as a tool to stimulate learning activities
ACE '11 Proceedings of the Thirteenth Australasian Computing Education Conference - Volume 114
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This article examines how emerging pervasive computing and affective computing technologies might enhance the adoption of ICT in e-Learning which takes place in the home and wider city environment. In support of this vision we describe two cutting edge ICT environments which combine to form a holistic connected future learning environment. The first is the iSpace, a specialized digital-home test-bed that represents the kind of high-tech, context aware home-based learning environment we envisage future learners using, the second a sophisticated pervasive e-Learning platform that typifies the educational delivery platform our research is targeting. After describing these environments we then present our research that explores how emotion evolves during the learning process and how to leverage emotion feedback to provide adaptive e-Learning system. The motivation driving this work is our desire to improve the performance of the educational experience by developing learning systems that recognize and respond appropriately to emotions exhibited by learners. Finally we report on the results about the emotion recognition from physiological signals which achieved a best-case accuracy rate of 86.5% for four types of learning emotion. To the best of our knowledge, this is the first report on emotion detection by data collected from close-to-real-world learning sessions. We also report some finding about emotion evolution during learning, which are still not enough to validate Kort's learning spiral model.