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
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.