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Incorporating Emotion and Personality-Based Analysis in User-Centered Modelling / Mohamed Mostafa; Tom Crick; Ana C. Calderon; Giles Oatley

Research and Development in Intelligent Systems XXXIII, Pages: 383 - 389

Swansea University Author: Crick, Tom

DOI (Published version): 10.1007/978-3-319-47175-4_29

Abstract

Understanding complex user behaviour under various conditions, scenarios and journeys is fundamental to improving the user-experience for a given system. Predictive models of user reactions, responses—and in particular, emotions—can aid in the design of more intuitive and usable systems. Building on...

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Published in: Research and Development in Intelligent Systems XXXIII
ISBN: 978-3-319-47174-7 978-3-319-47175-4
Published: Cambridge, UK Springer 2016
Online Access: https://link.springer.com/chapter/10.1007%2F978-3-319-47175-4_29
URI: https://cronfa.swan.ac.uk/Record/cronfa43581
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Abstract: Understanding complex user behaviour under various conditions, scenarios and journeys is fundamental to improving the user-experience for a given system. Predictive models of user reactions, responses—and in particular, emotions—can aid in the design of more intuitive and usable systems. Building on this theme, the preliminary research presented in this paper correlates events and interactions in an online social network against user behaviour, focusing on personality traits. Emotional context and tone is analysed and modelled based on varying types of sentiments that users express in their language using the IBM Watson Developer Cloud tools. The data collected in this study thus provides further evidence towards supporting the hypothesis that analysing and modelling emotions, sentiments and personality traits provides valuable insight into improving the user experience of complex social computer systems.
Item Description: 36th SGAI International Conference on Artificial Intelligence (AI-2016); the original extended version of this paper is available here: http://arxiv.org/abs/1608.03061.
Keywords: Emotions, Personality, Sentiment analysis, User experience, Social networking, Affective computing
College: College of Science
Start Page: 383
End Page: 389