The effect of subliminal help presentations on learning a text editor
Information Processing and Management: an International Journal
Toward Machine Emotional Intelligence: Analysis of Affective Physiological State
IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
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ISWC '03 Proceedings of the 7th IEEE International Symposium on Wearable Computers
Exploiting emotions to disambiguate dialogue acts
Proceedings of the 9th international conference on Intelligent user interfaces
Affective interactions: the computer in the affective loop
Proceedings of the 10th international conference on Intelligent user interfaces
Modeling and evaluating empathy in embodied companion agents
International Journal of Human-Computer Studies
Using noninvasive wearable computers to recognize human emotions from physiological signals
EURASIP Journal on Applied Signal Processing
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User Modeling and User-Adapted Interaction
Optimal Affective Conditions for Subconscious Learning in a 3D Intelligent Tutoring System
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Automotive user interfaces: human computer interaction in the car
CHI '10 Extended Abstracts on Human Factors in Computing Systems
Exploring neural trajectories of scientific problem solving skill acquisition
FAC'07 Proceedings of the 3rd international conference on Foundations of augmented cognition
Subliminally enhancing self-esteem: impact on learner performance and affective state
ITS'10 Proceedings of the 10th international conference on Intelligent Tutoring Systems - Volume Part II
ITS'10 Proceedings of the 10th international conference on Intelligent Tutoring Systems - Volume Part II
AutoTutor: an intelligent tutoring system with mixed-initiative dialogue
IEEE Transactions on Education
Implicit strategies for intelligent tutoring systems
ITS'12 Proceedings of the 11th international conference on Intelligent Tutoring Systems
ITS'12 Proceedings of the 11th international conference on Intelligent Tutoring Systems
Influence of subliminal cueing on visual search tasks
CHI '13 Extended Abstracts on Human Factors in Computing Systems
Tablet gestures as a motivating factor for learning
Proceedings of the 2013 Chilean Conference on Human - Computer Interaction
Toward Exploiting EEG Input in a Reading Tutor
International Journal of Artificial Intelligence in Education - Best of AIED 2011
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This paper presents results from an empirical study conducted with a subliminal teaching technique aimed at enhancing learner's performance in Intelligent Systems through the use of physiological sensors. This technique uses carefully designed subliminal cues (positive) and miscues (negative) and projects them under the learner's perceptual visual threshold. A positive cue, called answer cue, is a hint aiming to enhance the learner's inductive reasoning abilities and projected in a way to help them figure out the solution faster but more importantly better. A negative cue, called miscue, is also used and aims at obviously at the opposite (distract the learner or lead them to the wrong conclusion). The latest obtained results showed that only subliminal cues, not miscues, could significantly increase learner performance and intuition in a logic-based problem-solving task. Nonintrusive physiological sensors (EEG for recording brainwaves, blood volume pressure to compute heart rate and skin response to record skin conductivity) were used to record affective and cerebral responses throughout the experiment. The descriptive analysis, combined with the physiological data, provides compelling evidence for the positive impact of answer cues on reasoning and intuitive decision making in a logic-based problem-solving paradigm.