Abstract
PERSEL (PERsonality SELector) is a personality-based selection tool to maximize UX redesign effectiveness by highlighting the best users to involve time by time in the activities due to the target the UX redesign of products aims at. To date, PERSEL knowledge base was populated using a top-down approach; the literature allowed highlighting relationships between personality traits and UX characteristics. Here, the bottom-up approach aims at generating fresh pieces of information to integrate PERSEL knowledge base by looking at experiences in the field. A questionnaire-based survey allows collecting data about the personality of the participants, together with their inclinations towards UX. The statistical analysis of the collected data highlights further relationships among personality traits, UX characteristics and using metrics like novelty, variety and usefulness of the users’ possible suggestions.
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The authors would like to thank the students of the Mechanical and Management Engineering courses at the University of Udine (Italy) who participated to the tests.
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Filippi, S., Bellio, R. (2021). Enhancing a Personality-Based User Selection Tool to Maximize User eXperience Redesign Effectiveness. In: Ahram, T.Z., Falcão, C.S. (eds) Advances in Usability, User Experience, Wearable and Assistive Technology. AHFE 2021. Lecture Notes in Networks and Systems, vol 275. Springer, Cham. https://doi.org/10.1007/978-3-030-80091-8_115
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DOI: https://doi.org/10.1007/978-3-030-80091-8_115
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