Abstract
Although personality dimensions figure prominently in what people prefer or like about a display, little is known about precisely how personality dimensions can be predicted through our visual preferences. We investigated the feasibility for predicting continuous dimensions of personality traits (Big Five dimensions) from preferences captured by users’ eye movements while scanning the preferred regions in a visual presentation. The eye-movement behavior of 96 participants was examined to identify their preferences in five visual design presentations. A multi-target learning method was used to build the prediction model of continuous dimensions of personality based on fixation and saccadic eye parameters. The results showed that participants’ preferences for certain visual elements tended to explain their personality profile. Our findings offer new insights for personality assessment, human–computer interaction, personalization, and rational choice theories. It also addresses new trends related to the regulation of eye movements toward regions of interest based on the proportion of personality dimensions.
Original language | English |
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Pages (from-to) | 337-349 |
Number of pages | 13 |
Journal | Cognition, Technology and Work |
Volume | 20 |
Issue number | 3 |
Early online date | 20 Feb 2018 |
DOIs | |
Publication status | Published - 1 Aug 2018 |
Externally published | Yes |
Bibliographical note
The final publication is available at Springer via http://dx.doi.org/10.1007/s10111-018- 0470-6Copyright © and Moral Rights are retained by the author(s) and/ or other copyright
owners. A copy can be downloaded for personal non-commercial research or study,
without prior permission or charge. This item cannot be reproduced or quoted extensively from without first obtaining permission in writing from the copyright holder(s). The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the copyright holders.
Keywords
- Eye movement
- Individual differences and preferences
- Patterns recognition
- Personality dimensions
- User interaction
ASJC Scopus subject areas
- Philosophy
- Human-Computer Interaction
- Computer Science Applications