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Advisor(s)
Abstract(s)
Videogames, besides a form of entertainment, can be of added value to purposes such as physical rehabilitation (serious games). In this context, custom made serious games may be of great value, especially if they combine the necessary actions that the user must perform with engaging and captivating gameplay. Given data protection and ethical constraints, assessing a patient’s gaming preferences and personal traits to predict preferred game design by big data from online social profiles is not possible. In this matter, we developed a questionnaire that tries to infer patients’ gaming preferences from limited personal information, which we denote as “Small Data”. The questionnaire was tested in a pilot study with 17 healthy participants and results suggest that the collected information may help decide what kind of videogame better suits a particular patient, potentially aiding the process of developing Serious Games for healthcare.
Description
Keywords
Serious game Game design Player type taxonomy Video games
Pedagogical Context
Citation
Publisher
Instituto Superior Técnico