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

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.

[1]  Загоровская Ольга Владимировна,et al.  Исследование влияния пола и психологических характеристик автора на количественные параметры его текста с использованием программы Linguistic Inquiry and Word Count , 2015 .

[2]  Tom Crick,et al.  Exploring UK crime networks , 2014, 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014).

[3]  Tom Crick,et al.  Measuring UK crime gangs: a social network problem , 2015, Social Network Analysis and Mining.

[4]  Renaud Lambiotte,et al.  Tracking the Digital Footprints of Personality , 2014, Proceedings of the IEEE.

[5]  D N Jackson,et al.  What is beyond the big five? Plenty! , 2000, Journal of personality.

[6]  Hans J. Eysenck,et al.  Four ways five factors are not basic , 1992 .

[7]  A. Pentland,et al.  Computational Social Science , 2009, Science.

[8]  Mitsutoshi Okazaki,et al.  Revised NEO Personality Inventory（NEO-PI-R）を用いたてんかん患者におけるパーソナリティ傾向に関する検討 , 2018 .

[9]  D. Funder,et al.  Personality as manifest in word use: correlations with self-report, acquaintance report, and behavior. , 2008, Journal of personality and social psychology.

[10]  L. R. Goldberg,et al.  Some determinants of factor structures from personality-trait descriptors. , 1989, Journal of personality and social psychology.

[11]  P. Costa,et al.  Revised NEO Personality Inventory (NEO-PI-R) and NEO-Five-Factor Inventory (NEO-FFI) , 1992 .

[12]  Tom Crick,et al.  R U : -) or : -( ? Character- vs. Word-Gram Feature Selection for Sentiment Classification of OSN Corpora , 2012, SGAI Conf..

[13]  Marilyn A. Walker,et al.  Using Linguistic Cues for the Automatic Recognition of Personality in Conversation and Text , 2007, J. Artif. Intell. Res..

[14]  Tom Crick,et al.  Digital Footprints: Envisaging and Analysing Online Behaviour , 2015 .

[15]  J. Pennebaker,et al.  The Psychological Meaning of Words: LIWC and Computerized Text Analysis Methods , 2010 .

[16]  Tom Crick,et al.  'The First Day of Summer': Parsing Temporal Expressions with Distributed Semantics , 2013, SGAI Conf..

[17]  Francisco Iacobelli,et al.  Large Scale Personality Classification of Bloggers , 2011, ACII.

[18]  J. Pennebaker,et al.  Linguistic styles: language use as an individual difference. , 1999, Journal of personality and social psychology.

[19]  W. T. Norman,et al.  Toward an adequate taxonomy of personality attributes: replicated factors structure in peer nomination personality ratings. , 1963, Journal of abnormal and social psychology.

[20]  Alastair J. Gill,et al.  Language With Character: A Stratified Corpus Comparison of Individual Differences in E-Mail Communication , 2006 .

[21]  Daniel Gatica-Perez,et al.  The YouTube Lens: Crowdsourced Personality Impressions and Audiovisual Analysis of Vlogs , 2013, IEEE Transactions on Multimedia.

[22]  Analía Amandi,et al.  Intelligent User Profiling , 2009, Artificial Intelligence: An International Perspective.

[23]  K. Scherer.  Emotion as a multicomponent process: A model and some cross-cultural data. , 1984 .

[24]  Lewis R. Goldberg,et al.  Some determinants of factor structures from personality-trait descriptors. , 1989 .

[25]  Tom Crick,et al.  Changing Faces: Identifying Complex Behavioural Profiles , 2014, HCI.

[26]  J. Block.  The Five-Factor Framing of Personality and Beyond: Some Ruminations , 2010 .

[27]  L. R. Goldberg,et al.  What is beyond the big five? , 1998, Journal of personality.

[28]  Alastair J. Gill,et al.  Individual differences and implicit language: personality, parts-of-speech and pervasiveness , 2004 .

[29]  Tom Crick,et al.  CCTV as a Smart Sensor Network , 2015, 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing.

[30]  Giles Oatley,et al.  Data Exploration with GIS Viewsheds and Social Network Analysis , 2015 .