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Using dynamic Bayesian networks to model user-experience

Lookup NU author(s): Dr Iain SpearsORCiD

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Abstract

This paper presents a new approach to modelling the time course of user-experience (UX). Flexibility in modelling is essential: to select or develop UX models based on the outcome variables that are of interest in terms of explanation or prediction. At the same time, there is potential for (partial) re-using UX models across products and generalisation of models. As a case study, an experience model is developed for a particular consumer product, based on a time-sequential framework of subjective well-being [13] and a theoretical framework of flow for human-computer interaction [23]. The model is represented as a dynamic Bayesian network and the feasibility and limitations of using DBN are assessed. Future work will empirically evaluate the model with users of consumer products. © 2014 Springer-Verlag.

Publication metadata

Author(s): Van Schaik P, Zeng Y, Spears I

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 9th International Workshop ADMI 2013: International Workshop on Agents and Data Mining Interaction

Year of Conference: 2013

Pages: 3-13

Online publication date: 01/05/2014

ISSN: 0302-9743

Publisher: Springer Verlag

URL: https://doi.org/10.1007/978-3-642-55192-5_1

DOI: 10.1007/978-3-642-55192-5_1

Library holdings: Search Newcastle University Library for this item

Series Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

ISBN: 9783642551918

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