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Exploring the Biocybernetic loop: Classifying Psychophysiological Responses to Cultural Artefacts using Physiological Computing

Karran, AJ (2014) Exploring the Biocybernetic loop: Classifying Psychophysiological Responses to Cultural Artefacts using Physiological Computing. Doctoral thesis, Liverpool John Moores University.

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Abstract

The aim of this research project was to provide a bio-sensing component for a real-time adaptive technology in the context of cultural heritage. The proposed system was designed to infer the interest or intention of the user and to augment elements of the cultural heritage experience interactively through implicit interaction. Implicit interaction in this context is the process whereby the system observes the user while they interact with artefacts; recording psychophysiological responses to cultural heritage artefacts or materials and acting upon these responses to drive adaptations in content in real-time.Real-time biocybernetic control is the central component of physiological computing wherein physiological data are converted into a control input for a technological system. At its core the bio-sensing component is a biocybernetic control loop that utilises an inference of user interest as its primary driver. A biocybernetic loop is composed of four main stages: inference, classification, adaptation and interaction. The programme of research described in this thesis is concerned primarily with exploration of the inference and classification elements of the biocybernetic loop but also encompasses an element of adaptation and interaction. These elements are explored first through literature review and discussion (presented in chapters 1-5) and then through experimental studies (presented in chapters 7-11).

Item Type: Thesis (Doctoral)
Uncontrolled Keywords: Psychology. Psychophysiology, Biocybernetics, Machine Learning, Classification, Real-time
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: Natural Sciences and Psychology
Date Deposited: 27 Oct 2016 10:57
Last Modified: 27 Oct 2016 10:57
Supervisors: Fairclough, SH and Fergus, P
URI: http://researchonline.ljmu.ac.uk/id/eprint/4563

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