Canto, P.C., Dimitrova, V. orcid.org/0000-0002-7001-0891, Sherman, S. et al. (1 more author) (2024) Does personality matter: examining the value of personality insights for personalized nudges that encourage the selection of learning resources. Frontiers in Artificial Intelligence, 7. 1211142. ISSN: 2624-8212
Abstract
Nudging is a mechanism aimed at influencing people's behavior while maintaining the individual's freedom of choice. Nudges have been adopted in learning contexts where individuals are responsible for shaping their learning and, at the same time, receive guidance from the system. Not everyone responds to nudges in the same way. While social science research indicates that individual differences play a crucial role in peoples' nudgeability, there has been little research examining computational approaches that explore how individual differences affect user responses to nudges (especially in a learning context). Two studies were conducted to explore how individual differences, specifically focusing on personality, can affect nudge response in the context of healthcare education, where individuals use resources as a part of their informal learning and professional development. Different nudges, designed based on personality characteristics, were provided to draw individual users' attention to educational resources to encourage user engagement. The findings indicate that personality insights can be a predictor for nudge selection, suggesting that different nudges may be more effective when recommending learning resources to people with different personality characteristics.
Metadata
| Item Type: | Article |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | © 2024 Cardenas Canto, Dimitrova, Sherman and Flint. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
| Keywords: | personalization, personality insights, nudging, resource recommendation, learning |
| Dates: |
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| Institution: | The University of Leeds |
| Academic Units: | The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Psychology (Leeds) The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
| Funding Information: | Funder Grant number Innovate UK - KTP fkaTechnology Strategy Board (KTP) Not Known |
| Date Deposited: | 27 Oct 2025 09:50 |
| Last Modified: | 27 Oct 2025 09:50 |
| Published Version: | https://www.frontiersin.org/journals/artificial-in... |
| Status: | Published |
| Publisher: | Frontiers |
| Identification Number: | 10.3389/frai.2024.1211142 |
| Related URLs: | |
| Sustainable Development Goals: | |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:233335 |


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