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Erschienen in:
2011 | OriginalPaper | Buchkapitel
The Affective Triad: Stimuli, Questionnaires, and Measurements
verfasst von : Simone Tognetti, Maurizio Garbarino, Matteo Matteucci, Andrea Bonarini
Erschienen in: Affective Computing and Intelligent Interaction
Verlag: Springer Berlin Heidelberg
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Affective Computing has always aimed to answer the question: which measurement is most suitable to predict the subject’s affective state? Many experiments have been devised to evaluate the relationships among three types of variables (
the affective triad
): stimuli, self-reports, and measurements. Being the real affective state hidden, researchers have faced this question by looking for the measure most related either to the stimulus, or to self-reports. The first approach assumes that people receiving the same stimulus are feeling the same emotion; a condition difficult to match in practice. The second approach assumes that emotion is what people are saying to feel, and seems more likely.
We propose a novel method, which extends the mentioned ones by looking for the physiological measurement mostly correlated to the self-report due to emotion, not the stimulus. This guarantees to find a measure best related to subject’s affective state.