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Examining User Preferences based on Personality Factors in Graphical User Interface Design

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Bibliographic Details
Summary:Individual differences play a major role in human-computer interaction. In particular, personality shapes how we process and act on the world, and how users perceive and accept technology. Nevertheless, there is limited evidence on the effect of different personality types in graphical user interface design preferences. Weighting how personality affects perception, we leverage in-depth synergies between personality variables and design preferences for graphical user interface elements to study whether it is possible to formulate a novel set of design guidelines that allow the creation of user interfaces customized to psychological variables. A clustering approach of the subjects (N=65) yielded three different personality profiles based on the personality variables of the Five-Factor Model. Then, an association rules algorithm produced a set of rules from which we created a set of design guidelines. We discuss the study implications and future work opportunities.
Main Authors:Alves, Tomás
Other Authors:Gonçalves, Daniel; Gama, Sandra; Henriques-Calado, Joana
Subject:Personality User preferences Design guidelines User study Graphical user interfaces
Year:2022
Country:Portugal
Document type:other
Access type:restricted access
Associated institution:Universidade de Lisboa
Language:English
Origin:Repositório da Universidade de Lisboa
Description
Summary:Individual differences play a major role in human-computer interaction. In particular, personality shapes how we process and act on the world, and how users perceive and accept technology. Nevertheless, there is limited evidence on the effect of different personality types in graphical user interface design preferences. Weighting how personality affects perception, we leverage in-depth synergies between personality variables and design preferences for graphical user interface elements to study whether it is possible to formulate a novel set of design guidelines that allow the creation of user interfaces customized to psychological variables. A clustering approach of the subjects (N=65) yielded three different personality profiles based on the personality variables of the Five-Factor Model. Then, an association rules algorithm produced a set of rules from which we created a set of design guidelines. We discuss the study implications and future work opportunities.

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