期刊
ACM TRANSACTIONS ON COMPUTER-HUMAN INTERACTION
卷 21, 期 6, 页码 -出版社
ASSOC COMPUTING MACHINERY
DOI: 10.1145/2687925
关键词
Interaction design process and methods; empirical studies in HCI; interaction design theory; concepts; and paradigms
资金
- European Commission
This article 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 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 to sustain the interest of the visitor.
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