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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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spelling 2018-10-09T16:39:34Z v2 43581 2018-08-28 Incorporating Emotion and Personality-Based Analysis in User-Centered Modelling Tom Crick Tom Crick true 0000-0001-5196-9389 false 200c66ef0fc55391f736f6e926fb4b99 9971fd6d74987b78a0d7fce128f8c721 z93Ri4T5hwMLTfh+6XG11n2HZhUyFASdV1DFdgIIhKs= 2018-08-28 EDUC 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. Chapter in book Research and Development in Intelligent Systems XXXIII 383 389 Springer Cambridge, UK 978-3-319-47174-7 978-3-319-47175-4 Emotions, Personality, Sentiment analysis, User experience, Social networking, Affective computing 13 12 2016 2016-12-13 10.1007/978-3-319-47175-4_29 https://link.springer.com/chapter/10.1007%2F978-3-319-47175-4_29 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. College of Arts and Humanities School of Education CAAH EDUC None None 2018-10-09T16:39:34Z 2018-08-28T12:09:45Z College of Science Computer Science Mohamed Mostafa 1 Tom Crick 0000-0001-5196-9389 2 Ana C. Calderon 3 Giles Oatley 4 0043581-28082018121101.pdf ai2016-paper288-cameraready.pdf 2018-08-28T12:11:01Z Output 348450 application/pdf AM true Updated Copyright 09/10/2018 2018-08-28T00:00:00 true eng
title Incorporating Emotion and Personality-Based Analysis in User-Centered Modelling
spellingShingle Incorporating Emotion and Personality-Based Analysis in User-Centered Modelling
Crick, Tom
title_short Incorporating Emotion and Personality-Based Analysis in User-Centered Modelling
title_full Incorporating Emotion and Personality-Based Analysis in User-Centered Modelling
title_fullStr Incorporating Emotion and Personality-Based Analysis in User-Centered Modelling
title_full_unstemmed Incorporating Emotion and Personality-Based Analysis in User-Centered Modelling
title_sort Incorporating Emotion and Personality-Based Analysis in User-Centered Modelling
author_id_str_mv 200c66ef0fc55391f736f6e926fb4b99
author_id_fullname_str_mv 200c66ef0fc55391f736f6e926fb4b99_***_Crick, Tom
author Crick, Tom
author2 Mohamed Mostafa
Tom Crick
Ana C. Calderon
Giles Oatley
format Book Chapter
container_title Research and Development in Intelligent Systems XXXIII
container_start_page 383
publishDate 2016
institution Swansea University
isbn 978-3-319-47174-7
978-3-319-47175-4
doi_str_mv 10.1007/978-3-319-47175-4_29
publisher Springer
college_str College of Science
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hierarchy_top_id collegeofscience
hierarchy_top_title College of Science
hierarchy_parent_id collegeofscience
hierarchy_parent_title College of Science
department_str Computer Science{{{_:::_}}}College of Science{{{_:::_}}}Computer Science
url https://link.springer.com/chapter/10.1007%2F978-3-319-47175-4_29
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description 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.
published_date 2016-12-13T12:12:35Z
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