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dc.contributor.authorMohamed, Mostafa
dc.contributor.authorCrick, Tom
dc.contributor.authorCalderon, Ana
dc.contributor.authorOatley G.
dc.date.accessioned2018-03-12T13:40:17Z
dc.date.available2018-03-12T13:40:17Z
dc.date.issued2016
dc.identifier.citationMostafa M., Crick T., Calderon A.C., Oatley G. (2016) Incorporating Emotion and Personality-Based Analysis in User-Centered Modelling. In: Bramer M., Petridis M. (eds) Research and Development in Intelligent Systems XXXIII. SGAI 2016. Springer, Cham., pp 383-389
dc.identifier.isbn978-3-319-47175-4
dc.identifier.isbn978-3-319-47174-7
dc.identifier.urihttp://hdl.handle.net/10369/9349
dc.identifier.urihttp://arxiv.org/abs/1608.03061
dc.descriptionConference paper published in Research and Development in Intelligent Systems XXXIII. SGAI 2016, available at https://doi.org/10.1007/978-3-319-47175-4_29. Full paper also freely available at http://arxiv.org/abs/1608.03061
dc.description.abstractUnderstanding complex user behaviour under various conditions, scenarios and journeys can be fundamental to the improvement of 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.
dc.language.isoenen_US
dc.publisherSpringer
dc.relation.ispartofseries36th SGAI International Conference on Artificial Intelligence (AI-2016)
dc.titleIncorporating Emotion and Personality-Based Analysis in User-Centered Modellingen_US
dc.typeConference paperen_US
dc.identifier.doihttps://doi.org/10.1007/978-3-319-47175-4_29
rioxxterms.versionAOen_US


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