Automatic Recognition of Personality from Digital Annotations

Nizar Omheni, Anis Kalboussi, Omar Mazhoud, Ahmed Hadj Kacem


There is an increasing interest in understanding human perception based on reading and writing behaviours. Such researches are interested to seek knowledge of an individual’s personality as a way to predict their behaviours and preferences across different contexts and environments. Recent works show significant relation between the reader personality and his reading behaviours. Based on these findings, annotation activity is considered as potential source to predict certain personality traits of readers. In this paper, we take advantage of such theoretical works and we propose an online environment of active reading used to explore practically the utility of annotation in reflecting an accurate user personality profile. We apply the paired t-test to evaluate the system’s efficiency to measure human traits versus the scores of personality traits measured using the Neo-IPIP inventory. Our findings show plainly that some traits of users’ personalities can be predicted accurately from digital annotation traces during online reading session.


  1. Agosti, M. and Ferro, N. (2003). Annotations: Enriching a digital library. In Research and Advanced Technology for Digital Libraries, pages 88-100. Springer.
  2. Arya, A., Ragini, S., Kumar, H., Abinaya, G., et al. (2012). A text analysis based seamless framework for predicting human personality traits from social networking sites. International Journal of Information Technology and Computer Science (IJITCS), 4(10):29.
  3. Bachrach, Y., Kosinski, M., Graepel, T., Kohli, P., and Stillwell, D.(2012). Personality and patterns of facebook usage. In proceedings of the 3rd annual ACM web science conference, pages 24-32. ACM.
  4. Barak, A., Buchanan, T., Kraus, R., Zack, J., and Stricker, G. (2004). Internet-based psychological testing and assessment. Online counseling: A handbook for mental health professionals, pages 217-239.
  5. Bologna, C., De Rosa, A. C., De Vivo, A., Gaeta, M., Sansonetti, G., and Viserta, V. (2013). Personality based recommendation in e-commerce. In UMAP Workshops. Citeseer.
  6. Boyle, G. J. and Helmes, E. (2009). Methods of personality assessment.
  7. Burger, J. (2011). Personality. Editor Wadsworth, USA, 8th edition.
  8. Celli, F. (2012). Adaptive Personality Recogntion from Text. PhD thesis, University of Trento.
  9. Celli, F. (2012a). Unsupervised personality recognition for social network sites. In ICDS 2012, The Sixth International Conference on Digital Society, pages 59-62.
  10. Celli, F. and Poesio, M. (2014). Pr2: A language independent unsupervised tool for personality recognition from text. arXiv preprint arXiv:1402.2796.
  11. Cobb-Clark, D. A. and Schurer, S. (2012). The stability of big-five personality traits. Economics Letters, 115(1):11-15.
  12. Fisher, J., Maredia, A., Nixon, A., Williams, N., and Leet, J. (2012). Identifying personality traits, and especially traits resulting in violent behavior through automatic handwriting analysis.
  13. Gawronski, B. and De Houwer, J. (2014). Implicit measures in social and personality psychology. Handbook of research methods in social and personality psychology, 2.
  14. Golbeck, J., Robles, C., Edmondson, M., and Turner, K. (2011). Predicting personality from twitter. In Privacy, security, risk and trust (passat), 2011 ieee third international conference on and 2011 ieee third international conference on social computing (socialcom), pages 149-156. IEEE.
  15. Gosling, S. D., Rentfrow, P. J., and Swann, W. B. (2003). A very brief measure of the big-five personality domains. Journal of Research in personality, 37(6):504-528.
  16. Hu, R. and Pu, P. (2010). Using personality information in collaborative filtering for new users. Recommender Systems and the Social Web, page 17.
  17. Iacobelli, F., Gill, A. J., Nowson, S., and Oberlander, J. (2011). Large scale personality classification of bloggers. In Affective Computing and Intelligent Interaction, pages 568-577. Springer.
  18. Ivanov, A. V., Riccardi, G., Sporka, A. J., and Franc, J. (2011). Recognition of personality traits from human spoken conversations. In INTERSPEECH, pages 1549-1552.
  19. Jackson, H. (2001). Marginalia: Readers Writing in Books. Nota Bene series. Yale University Press.
  20. Kalboussi, A., Omheni, N., Mazhoud, O., Kacem, A.H. (2015). 'How to Organize the Annotation Systems in Human-Computer Environment: Study, Classification and Observations',In: Proceedings of the 15th IFIP TC.13 International Conference on Human-Computer Interaction - INTERACT 2015, Bamberg, Germany, Springer.
  21. Kalboussi, A., Mazhoud, O., Omheni, N., Kacem, A.H. (2014). 'A New Annotation System based on a Semantic Analysis of Learner's Annotative Activity to Invoke Web Services',International Journal of Metadata, Semantics and Ontologies (IJMSO), Vol.9 (4),Inderscience, pp.350-370.
  22. Kalboussi, A., Mazhoud, O., Omheni, N., Kacem, A.H. (2013).'An Approach of Assistance of Learner's Annotative Activity through Web Services', Australian Journal of Intelligent Information Processing Systems (AJIIPS),Vol.13 (3), Special Issue on Edutainment'13, pp.15-22.
  23. Kalboussi, A., Mazhoud, O., Hadj Kacem, A., Omheni, N. (2013a).'A Formal Model of Learner's Annotations Dedicated to Web Services Invocation', In: Proceedings of the 21st International Conference on Computers in Education (ICCE'13), APSCE,pp.166- 169.
  24. Kalboussi, A., Mazhoud, O., Kacem, A.H. (2013b). 'Annotative Activity as a Potential Source of Web Service Invocation',In: Proceedings of the 9th International Conference on Web Information Systems and Technologies (WEBIST'13), SciTePress, pp.288- 292.
  25. Kirwan, K. (2010). Rebellious readers: A marginalized reader theory of identity, text, and meaning.
  26. Kosinski, M., Stillwell, D., and Graepel, T. (2013). Private traits and attributes are predictable from digital records of human behavior. Proceedings of the National Academy of Sciences, 110(15):5802-5805.
  27. Marshall, C. C. (1998). Toward an ecology of hypertext annotation. In Proceedings of the ninth ACM conference on Hypertext and hypermedia: links, objects, time and space-structure in hypermedia systems: links, objects, time and space-structure in hypermedia systems, pages 40-49. ACM.
  28. Marshall, C. C. (2009). Reading and writing the electronic book. Synthesis lectures on information concepts, retrieval, and services, 1(1):1-185.
  29. Matthews, G., Deary, I. J., and Whiteman, M. C. (2009). Personality Traits. Cambridge University Press.
  30. Mezghani, M., Zayani, C. A., Amous, I., and Gargouri, F. (2012). A user profile modelling using social annotations: a survey. In Proceedings of the 21st international conference companion on World Wide Web, pages 969-976. ACM.
  31. Minamikawa, A. and Yokoyama, H. (2011). Blog tells what kind of personality you have: egogram estimation from japanese weblog. In Proceedings of the ACM 2011 conference on Computer supported cooperative work, pages 217-220. ACM.
  32. Naghsh, A. M. (2007). SUPPORTING ANNOTATIONS IN ELECTRONIC PAPER-PROTOTYPING TOOLS. PhD thesis, Sheffield Hallam University.
  33. Nunes, M. A. S., Cerri, S. A., and Blanc, N. (2008). Towards user psychological profile. In Proceedings of the VIII Brazilian Symposium on Human Factors in Computing Systems, pages 196-203. Sociedade Brasileira de Computação.
  34. Nunes, M. A. S. N., Cerri, S. A., and Blanc, N. (2008a). Improving recommendations by using personality traits in user profiles. In International Conferences on Knowledge Management and New Media Technology, pages 92-100.
  35. O'hara, K. and Sellen, A. (1997). A comparison of reading paper and on-line documents. In Proceedings of the ACM SIGCHI Conference on Human factors in computing systems, pages 335-342. ACM.
  36. Omheni, N., Mazhoud, O., Kalboussi, A., and HadjKacem, A. (2014). Prediction of human personality traits from annotation activities. In Proceedings of the 10th International Conference on Web Information Systems and Technologies, pages 263-269. SciTePress.
  37. Omheni, N., Mazhoud, O., Kalboussi, A.,HadjKacem, A.(2014). 'The Annotation: A Track of Reader's Personality Traits on Paper',In: Proceedings of the 52ndACM Southeast Regional Conference (ACMSE'14), ACM, article No.10.
  38. Peabody, D. and De Raad, B. (2002). The substantive nature of psycholexical personality factors: A comparison across languages. Journal of Personality and Social Psychology, 83(4):983.
  39. Plimmer, B., Chang, S. H.-H., Doshi, M., Laycock, L., and Seneviratne, N. (2010). iannotate: exploring multiuser ink annotation in web browsers. In Proceedings of the Eleventh Australasian Conference on User InterfaceVolume 106, pages 52-60. Australian Computer Society, Inc.
  40. Polzehl, T., Moller, S., and Metze, F. (2011). Modeling speaker personality using voice. In INTERSPEECH, pages 2369-2372.
  41. Prasad, S., Singh, V. K., and Sapre, A. (2010). Article:handwriting analysis based on segmentation method for prediction of human personality using support vector machine. International Journal of Computer Applications, 8(12):25-29. Published By Foundation of Computer Science.
  42. Qiu, L., Lin, H., Ramsay, J., and Yang, F. (2012). You are what you tweet: Personality expression and perception on twitter. Journal of Research in Personality, 46(6):710-718.
  43. Quercia, D., Kosinski, M., Stillwell, D., and Crowcroft, J. (2011). Our twitter profiles, our selves: Predicting personality with twitter. In Privacy, security, risk and trust (passat), 2011 ieee third international conference on and 2011 ieee third international conference on social computing (socialcom), pages 180-185. IEEE.
  44. Rahiman, A., Varghese, D., and Kumar, M. (2013). Habit: Handwritten analysis based individualistic traits prediction. International Journal of Image Processing (IJIP), 7(2):209.
  45. Schiaffino, S. and Amandi, A. (2009). Intelligent user profiling. In Artificial Intelligence An International Perspective, pages 193-216. Springer.
  46. Selfhout, M., Burk, W., Branje, S., Denissen, J., Van Aken, M., and Meeus, W. (2010). Emerging late adolescent friendship networks and big five personality traits: A social network approach. Journal of personality, 78(2):509-538.
  47. Sumner, C., Byers, A., Boochever, R., and Park, G. J. (2012). Predicting dark triad personality traits from twitter usage and a linguistic analysis of tweets. In Machine Learning and Applications (ICMLA), 2012 11th International Conference on, volume 2, pages 386-393. IEEE.
  48. Thomas, L. (2007). Note together: A collaborative annotation system for the world-wide web. Bachelor's thesis, University of Bath.
  49. Tkalcic, M., Kunaver, M., Tasic, J., and Kosir, A. (2009).? Personality based user similarity measure for a collaborative recommender system. In Proceedings of the 5th Workshop on Emotion in Human-Computer Interaction-Real world challenges, pages 30-37.
  50. Vinciarelli, A. and Mohammadi, G. (2014). A survey of personality computing.
  51. Wright, W. R. and Chin, D. N. (2014). Personality profiling from text: Introducing part-of-speech n grams. In User Modeling, Adaptation, and Personalization, pages 243-253. Springer.
  52. Wu, W., Chen, L., and He, L. (2013). Using personality to adjust diversity in recommender systems. In Proceedings of the 24th ACM Conference on Hypertext and Social Media, pages 225-229. ACM.

Paper Citation

in Harvard Style

Omheni N., Kalboussi A., Mazhoud O. and Kacem A. (2015). Automatic Recognition of Personality from Digital Annotations . In Proceedings of the 11th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 978-989-758-106-9, pages 273-280. DOI: 10.5220/0005483002730280

in Bibtex Style

author={Nizar Omheni and Anis Kalboussi and Omar Mazhoud and Ahmed Hadj Kacem},
title={Automatic Recognition of Personality from Digital Annotations},
booktitle={Proceedings of the 11th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},

in EndNote Style

JO - Proceedings of the 11th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
TI - Automatic Recognition of Personality from Digital Annotations
SN - 978-989-758-106-9
AU - Omheni N.
AU - Kalboussi A.
AU - Mazhoud O.
AU - Kacem A.
PY - 2015
SP - 273
EP - 280
DO - 10.5220/0005483002730280