Towards an adaptive cultural heritage experience using physiological computing

Authors:
Alex J. Karran;Stephen H. Fairclough;Kiel Gilleade
Affiliations:
Liverpool John Moores University, Liverpool, United Kingdom;Liverpool John Moores University, Liverpool, United Kingdom;Liverpool John Moores University, Liverpool, United Kingdom
Venue:
CHI '13 Extended Abstracts on Human Factors in Computing Systems
Year:
2013

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Abstract

The contemporary heritage institution visitor model is built around passive receivership where content is consumed but not influenced by the visitor. This paper presents work in progress towards an adaptive interface designed to respond to the level of interest of the visitor, in order to deliver a personalised experience within cultural heritage institutions. A subject-dependent experimental approach was taken to record and classify physiological signals using mobile physiological sensors and a machine learning algorithm. The results show a high classification rate using this approach, informing future work for the development of a real-time physiological computing component for use within an adaptive cultural heritage experience.