@inproceedings{0d72190600154e428dc7d49bfe6d53e7,
title = "Towards an Adaptive Cultural Heritage Experience Using Physiological Computing",
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.",
keywords = "Adaptive Systems, Affective Computing, Cultural Heritage, Human Computer Interaction, Machine Learning, Physiological Computing",
author = "Karran, {Alex J.} and Fairclough, {Stephen H.} and Kiel Gilleade",
note = "Funding Information: The ARtSENSE project is funded through the cooperation programme of the Seventh Framework Programme (FP7) of the European Commission.; 31st Annual CHI Conference on Human Factors in Computing Systems:, CHI EA 2013 ; Conference date: 27-04-2013 Through 02-05-2013",
year = "2013",
month = apr,
day = "27",
doi = "10.1145/2468356.2468657",
language = "English (US)",
series = "Conference on Human Factors in Computing Systems - Proceedings",
publisher = "Association for Computing Machinery",
pages = "1683--1688",
editor = "Michel Beaudouin-Lafon and Patrick Baudisch and Mackay, {Wendy E.}",
booktitle = "CHI EA 2013 - Extended Abstracts on Human Factors in Computing Systems",
address = "United States",
}