2011 · 12 citations · 10 references
EngineeringAmbient DisplayWearable TechnologyCommunicationSocial SciencesNovel Interaction ParadigmTouch User InterfaceAffective ComputingMultimodal Human Computer InterfaceImplicit Interaction ConceptBehavioral SciencesCognitive ScienceAssistive TechnologyInteraction TechniqueUser ExperienceMobile ComputingLow-attention User ControlNovel InterfaceEye TrackingHuman-computer Interaction
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.
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Emotion recognition in human-computer interaction
Roddy Cowie, Ellen Douglas‐Cowie, Nicolas Tsapatsoulis et al. · IEEE Signal Processing Magazine · 2001 · 2.5K citations · Full text