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Authors: Nizar Omheni 1 ; Anis Kalboussi 1 ; Omar Mazhoud 1 and Ahmed Hadj Kacem 2

Affiliations: 1 University of Kairouan, Tunisia ; 2 University of Sfax, Tunisia

Keyword(s): Learning User Profile, Data Extraction, Annotations, Digital Annotations, Personality Traits.

Related Ontology Subjects/Areas/Topics: User Modeling ; Web Information Systems and Technologies ; Web Interfaces and Applications

Abstract: 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 d igital annotation traces during online reading session. (More)

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Paper citation in several formats:
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 - WEBIST; ISBN 978-989-758-106-9; ISSN 2184-3252, SciTePress, pages 273-280. DOI: 10.5220/0005483002730280

@conference{webist15,
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 - WEBIST},
year={2015},
pages={273-280},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005483002730280},
isbn={978-989-758-106-9},
issn={2184-3252},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Web Information Systems and Technologies - WEBIST
TI - Automatic Recognition of Personality from Digital Annotations
SN - 978-989-758-106-9
IS - 2184-3252
AU - Omheni, N.
AU - Kalboussi, A.
AU - Mazhoud, O.
AU - Kacem, A.
PY - 2015
SP - 273
EP - 280
DO - 10.5220/0005483002730280
PB - SciTePress

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