Multimodal human discourse: gesture and speech
ACM Transactions on Computer-Human Interaction (TOCHI)
ICALT '01 Proceedings of the IEEE International Conference on Advanced Learning Technologies
Human computing and machine understanding of human behavior: a survey
Proceedings of the 8th international conference on Multimodal interfaces
Analysis of affect expressed through the evolving language of online communication
Proceedings of the 12th international conference on Intelligent user interfaces
Automatic prediction of frustration
International Journal of Human-Computer Studies
Review: The role of emotion in computer-mediated communication: A review
Computers in Human Behavior
Textual Affect Sensing for Sociable and Expressive Online Communication
ACII '07 Proceedings of the 2nd international conference on Affective Computing and Intelligent Interaction
A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Affect-aware tutors: recognising and responding to student affect
International Journal of Learning Technology
The development and evaluation of a survey to measure user engagement
Journal of the American Society for Information Science and Technology
Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications
IEEE Transactions on Affective Computing
Automatic analysis of affective postures and body motion to detect engagement with a game companion
Proceedings of the 6th international conference on Human-robot interaction
Affect analysis model: Novel rule-based approach to affect sensing from text
Natural Language Engineering
3D corpus of spontaneous complex mental states
ACII'11 Proceedings of the 4th international conference on Affective computing and intelligent interaction - Volume Part I
Interpreting hand-over-face gestures
ACII'11 Proceedings of the 4th international conference on Affective computing and intelligent interaction - Volume Part II
Crowdsourced data collection of facial responses
ICMI '11 Proceedings of the 13th international conference on multimodal interfaces
Proceedings of the 45th ACM technical symposium on Computer science education
Learner characteristics and dialogue: recognising effective and student-adaptive tutorial strategies
International Journal of Learning Technology
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Computer-mediated textual communication has become ubiquitous in recent years. Compared to face-to-face interactions, there is decreased bandwidth in affective information, yet studies show that interactions in this medium still produce rich and fulfilling affective outcomes. While overt communication (e.g., emoticons or explicit discussion of emotion) can explain some aspects of affect conveyed through textual dialogue, there may also be an underlying implicit affective channel through which participants perceive additional emotional information. To investigate this phenomenon, computer-mediated tutoring sessions were recorded with Kinect video and depth images and processed with novel tracking techniques for posture and hand-to-face gestures. Analyses demonstrated that tutors implicitly perceived students' focused attention, physical demand, and frustration. Additionally, bodily expressions of posture and gesture correlated with student cognitive-affective states that were perceived by tutors through the implicit affective channel. Finally, posture and gesture complement each other in multimodal predictive models of student cognitive-affective states, explaining greater variance than either modality alone. This approach of empirically studying the implicit affective channel may identify details of human behavior that can inform the design of future textual dialogue systems modeled on naturalistic interaction.