KIT | KIT-Bibliothek | Impressum | Datenschutz

Users’ game design element preferences in health behavior change support systems for physical activity: A best-worst-scaling approach

Schmidt-Kraepelin, Manuel; Thiebes, Scott; Schöbel, Sofia; Sunyaev, Ali

Abstract:
Over the last decades, physical inactivity has become one of the leading health risk factors in modern societies. To incentivize people to be more physically active, gamified health behavior change support systems (HBCSSs) are a promising approach. These systems often make use of gamification to keep their users engaged over a sustained period of time. However, despite its popularity, gamification often fails due to insufficient designs, which neglect users’ needs. Building on extant research that investigated users’ preferences in other gamification contexts, we conduct a survey among 447 potential users of HBCSSs for physical activity, using a best-worst-scaling approach. Our results indicate that users generally prefer the game design elements progress, goals, points, and levels, which is partially different from past research on preferred game design elements in other contexts. Thus, our research contributes to the understanding of contextual differences in users’ gamification preferences.

Open Access Logo


Postprint §
DOI: 10.5445/IR/1000120472
Veröffentlicht am 01.01.2021
Scopus
Zitationen: 1
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2019
Sprache Englisch
Identifikator ISBN: 978-0-9966831-9-7
KITopen-ID: 1000120472
Erschienen in Proceedings of the 40th International Conference on Information Systems, ICIS 2019, Munich, Germany, December 15-18, 2019
Veranstaltung 40th International Conference on Information Systems (ICIS 2019), München, Deutschland, 15.12.2019 – 18.12.2019
Verlag Association for Information Systems (AIS)
Seiten Paper 2576
Externe Relationen Abstract/Volltext
Schlagwörter Gamification, Game Design Elements, User Preferences, Health Behavior Change, Health Behavior Change Support Systems, Best-Worst Scaling, Online Survey
Nachgewiesen in Scopus
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
KITopen Landing Page