No Cover Image

Conference Paper/Proceeding/Abstract 770 views 84 downloads

Incorporating Emotion and Personality-Based Analysis in User-Centered Modelling

Mohamed Mostafa, Tom Crick Orcid Logo, Ana C. Calderon, Giles Oatley

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

Swansea University Author: Tom Crick Orcid Logo

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...

Full description

Published in: Research and Development in Intelligent Systems XXXIII
ISBN: 9783319471747 9783319471754
Published: Cham Springer International Publishing 2016
URI: https://cronfa.swan.ac.uk/Record/cronfa43581
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2018-08-28T14:36:05Z
last_indexed 2023-01-11T14:20:14Z
id cronfa43581
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2022-12-18T17:40:34.2546625</datestamp><bib-version>v2</bib-version><id>43581</id><entry>2018-08-28</entry><title>Incorporating Emotion and Personality-Based Analysis in User-Centered Modelling</title><swanseaauthors><author><sid>200c66ef0fc55391f736f6e926fb4b99</sid><ORCID>0000-0001-5196-9389</ORCID><firstname>Tom</firstname><surname>Crick</surname><name>Tom Crick</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2018-08-28</date><deptcode>EDUC</deptcode><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&#x2014;and in particular, emotions&#x2014;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.</abstract><type>Conference Paper/Proceeding/Abstract</type><journal>Research and Development in Intelligent Systems XXXIII</journal><volume/><journalNumber/><paginationStart>383</paginationStart><paginationEnd>389</paginationEnd><publisher>Springer International Publishing</publisher><placeOfPublication>Cham</placeOfPublication><isbnPrint>9783319471747</isbnPrint><isbnElectronic>9783319471754</isbnElectronic><issnPrint/><issnElectronic/><keywords>Emotions, Personality, Sentiment analysis, User experience, Social networking, Affective computing</keywords><publishedDay>5</publishedDay><publishedMonth>11</publishedMonth><publishedYear>2016</publishedYear><publishedDate>2016-11-05</publishedDate><doi>10.1007/978-3-319-47175-4_29</doi><url/><notes>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.</notes><college>COLLEGE NANME</college><department>Education</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>EDUC</DepartmentCode><institution>Swansea University</institution><apcterm/><funders/><projectreference/><lastEdited>2022-12-18T17:40:34.2546625</lastEdited><Created>2018-08-28T12:09:45.5104592</Created><path><level id="1">Faculty of Humanities and Social Sciences</level><level id="2">School of Social Sciences - Education and Childhood Studies</level></path><authors><author><firstname>Mohamed</firstname><surname>Mostafa</surname><order>1</order></author><author><firstname>Tom</firstname><surname>Crick</surname><orcid>0000-0001-5196-9389</orcid><order>2</order></author><author><firstname>Ana C.</firstname><surname>Calderon</surname><order>3</order></author><author><firstname>Giles</firstname><surname>Oatley</surname><order>4</order></author></authors><documents><document><filename>0043581-28082018121101.pdf</filename><originalFilename>ai2016-paper288-cameraready.pdf</originalFilename><uploaded>2018-08-28T12:11:01.7330000</uploaded><type>Output</type><contentLength>348450</contentLength><contentType>application/pdf</contentType><version>Accepted Manuscript</version><cronfaStatus>true</cronfaStatus><embargoDate>2018-08-28T00:00:00.0000000</embargoDate><copyrightCorrect>true</copyrightCorrect><language>eng</language></document></documents><OutputDurs/></rfc1807>
spelling 2022-12-18T17:40:34.2546625 v2 43581 2018-08-28 Incorporating Emotion and Personality-Based Analysis in User-Centered Modelling 200c66ef0fc55391f736f6e926fb4b99 0000-0001-5196-9389 Tom Crick Tom Crick true false 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. Conference Paper/Proceeding/Abstract Research and Development in Intelligent Systems XXXIII 383 389 Springer International Publishing Cham 9783319471747 9783319471754 Emotions, Personality, Sentiment analysis, User experience, Social networking, Affective computing 5 11 2016 2016-11-05 10.1007/978-3-319-47175-4_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 NANME Education COLLEGE CODE EDUC Swansea University 2022-12-18T17:40:34.2546625 2018-08-28T12:09:45.5104592 Faculty of Humanities and Social Sciences School of Social Sciences - Education and Childhood Studies Mohamed Mostafa 1 Tom Crick 0000-0001-5196-9389 2 Ana C. Calderon 3 Giles Oatley 4 0043581-28082018121101.pdf ai2016-paper288-cameraready.pdf 2018-08-28T12:11:01.7330000 Output 348450 application/pdf Accepted Manuscript true 2018-08-28T00:00:00.0000000 true eng
title Incorporating Emotion and Personality-Based Analysis in User-Centered Modelling
spellingShingle Incorporating Emotion and Personality-Based Analysis in User-Centered Modelling
Tom Crick
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_***_Tom Crick
author Tom Crick
author2 Mohamed Mostafa
Tom Crick
Ana C. Calderon
Giles Oatley
format Conference Paper/Proceeding/Abstract
container_title Research and Development in Intelligent Systems XXXIII
container_start_page 383
publishDate 2016
institution Swansea University
isbn 9783319471747
9783319471754
doi_str_mv 10.1007/978-3-319-47175-4_29
publisher Springer International Publishing
college_str Faculty of Humanities and Social Sciences
hierarchytype
hierarchy_top_id facultyofhumanitiesandsocialsciences
hierarchy_top_title Faculty of Humanities and Social Sciences
hierarchy_parent_id facultyofhumanitiesandsocialsciences
hierarchy_parent_title Faculty of Humanities and Social Sciences
department_str School of Social Sciences - Education and Childhood Studies{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Social Sciences - Education and Childhood Studies
document_store_str 1
active_str 0
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 2016-11-05T03:54:50Z
_version_ 1763752741629329408
score 10.997933

Similar Items