Gamification of medical applications seems to be inevitable to keep users involved in the process of self-reporting. It is widely accepted that gamification design should be personalized, and there are several approaches to categorizing users for the sake of providing them with the most encouraging design.
A group of researchers from Sano’s Extreme-scale Data and Computing team carried out a small population study involving 54 participants to investigate what are design choices detected by three alternative approaches to personalization: 1. ranking of game elements by the user, 2. Hexad Gamification User Types classification, 3. Selection of preferred design mockups. The study showed that most users, regardless of age and gender, preferred similar game elements, such as gaining new levels and points, therefore, Hexad Gamification User Types classification, which distinguishes 6 types of users, is exceeding for medical applications.
Paulina Adamczyk presented the results of the study at the 16th International Joint Conference on Biomedical Engineering Systems and Technologies BIOSTEC 2023 in Lisbon, Portugal, on 16-18 February.
The purpose of BIOSTEC is to bring together researchers and practitioners interested in both theoretical advances and applications of information systems, artificial intelligence, signal processing, electronics and other engineering tools in knowledge areas related to biology and medicine.
The paper entitled “Designing Personalized Gamification of mHealth Survey Applications” is published “In Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies – HEALTHINF”.
Link to the paper: https://www.scitepress.org/PublicationsDetail.aspx?ID=86vOosGEiU4=&t=1