A Framework for Psychophysiological Classification within a Cultural Heritage Context Using Interest

Alexander J. Karran, Stephen H. Fairclough, Kiel Gilleade
2015 ACM Transactions on Computer-Human Interaction  
This paper presents a psychophysiological construct of interest as a knowledge emotion and illustrates the importance of interest detection in a cultural heritage context. The objective of this work is to measure and classify psychophysiological reactivity in response to cultural heritage material presented as visual and audio. We present a data processing and classification framework for the classification of interest. Two studies are reported, adopting a subject-dependent approach to classify
more » ... pproach to classify psychophysiological signals using mobile physiological sensors, and the support vector machine learning algorithm. The results show that it is possible to reliably infer a state of interest from cultural heritage material using psychophysiological feature data and a machine learning approach, informing future work for the development of a real-time physiological computing system for use within an adaptive cultural heritage experience designed to adapt the provision of information in order to sustain the interest of the visitor.
doi:10.1145/2687925 fatcat:e4xbi4drrfgh3kdz7sssiq4gy4