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 '98 Proceedings of the 2nd IEEE International Symposium on Wearable Computers
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IEEE Transactions on Haptics
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HAPTIC '10 Proceedings of the 2010 IEEE Haptics Symposium
ZenTrader, an emotion-reactive interface
ICEC'11 Proceedings of the 10th international conference on Entertainment Computing
Brainput: enhancing interactive systems with streaming fnirs brain input
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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This work explores a novel interaction paradigm driven by implicit, low-attention user control, accomplished by monitoring a user's physiological state. We have designed and prototyped this interaction for a first use case of bookmarking an audio stream, to holistically explore the implicit interaction concept. Here, a user's galvanic skin conductance (GSR) is monitored for orienting responses (ORs) to external interruptions; our prototype automatically bookmarks the media such that the user can attend to the interruption, then resume listening from the point he/she is interrupted. To test this approach's viability, we addressed questions such as: does GSR exhibit a detectable response to interruptions, and how should the interaction utilize this information? In evaluating this system in a controlled environment, we found an OR detection accuracy of 84%; users provided subjective feedback on its accuracy and utility.