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

Affiliations: 1 University of Kairouan and ReDCAD Laboratory, Tunisia ; 2 University of Sfax and ReDCAD Laboratory, Tunisia

ISBN: 978-989-758-024-6

Keyword(s): Annotation, Personality, Big Five Personality Model.

Related Ontology Subjects/Areas/Topics: Enterprise Information Systems ; Personalized Web Sites and Services ; Recommendation Systems ; Software Agents and Internet Computing ; User Modeling ; Web Information Systems and Technologies ; Web Interfaces and Applications

Abstract: We show how reader’s annotation activity captured during an active reading session relates to their personality, as measured by the standard Five Factor Model. For 120 volunteers having usually the habit of reading, we gather personality data and annotation practices. We examine correlations between readers personality and such features of their annotative activities such as the total number of annotation acts, average number of annotation acts, number of textual annotation acts, number of graphical annotation acts, number of referential annotation acts and number of compounding annotation acts. Our results show significant relationships between personality traits and such features of annotation practices. Then we show how multivariate regression allows prediction of the readers personalities traits given their annotation activities.

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Paper citation in several formats:
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 - Volume 2: WEBIST, ISBN 978-989-758-024-6, pages 263-269. DOI: 10.5220/0004801302630269

@conference{webist14,
author={Nizar Omheni and Omar Mazhoud and Anis Kalboussi and Ahmed HadjKacem},
title={Prediction of Human Personality Traits From Annotation Activities},
booktitle={Proceedings of the 10th International Conference on Web Information Systems and Technologies - Volume 2: WEBIST,},
year={2014},
pages={263-269},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004801302630269},
isbn={978-989-758-024-6},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Web Information Systems and Technologies - Volume 2: WEBIST,
TI - Prediction of Human Personality Traits From Annotation Activities
SN - 978-989-758-024-6
AU - Omheni N.
AU - Mazhoud O.
AU - Kalboussi A.
AU - HadjKacem A.
PY - 2014
SP - 263
EP - 269
DO - 10.5220/0004801302630269

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