Gamification preferences in nutrition apps : Toward healthier diets and food choices

Title data

Berger, Michelle ; Jung, Carolin:
Gamification preferences in nutrition apps : Toward healthier diets and food choices.
In: Digital Health. Vol. 10 (June 2024) .
ISSN 2055-2076
DOI: https://doi.org/10.1177/20552076241260482

Official URL:

Abstract in another language

Malnutrition harms healthand is costly. Examples refer to obesity,heart disease, and some cancers.The use of gamification elements (GEs) in nutrition apps offers a promising approach to change nutrition habits.However, the effectiveness highly dependsonthe underlying context, the users’preferences, and other individual aspects–factors notyetconsideredin the context of healthy nutrition. We survey 308 peopleto measure their preferencesof GEs in nutrition apps. Using best-worst-scaling, we determine that GEs most favoredare goals, progressbars, and coupons.Further, a cluster analysis reveals three distinct clusters, which we describe in terms of personality and socio-demographic characteristics. Based ontheindividual factors opennessand self-perception, wefound thatmain differences exist between the preferences for leaderboardsand coupons. We contribute by shedding light on differences and similarities of GE preferences between contexts and individual factors.Findings benefit individuals, app designers, and public health institutions.

Further data

Item Type:	Article in a journal
Refereed:	Yes
Keywords:	Gamification; User Satisfaction; Nutrition; Health; Personalization
Institutions of the University:	Faculties > Faculty of Law, Business and Economics > Department of Business Administration Research Institutions Research Institutions > Affiliated Institutes Research Institutions > Affiliated Institutes > Branch Business and Information Systems Engineering of Fraunhofer FIT Research Institutions > Affiliated Institutes > FIM Research Center for Information Management
Result of work at the UBT:	No
DDC Subjects:	000 Computer Science, information, general works > 004 Computer science 300 Social sciences > 330 Economics
Date Deposited:	06 Sep 2024 07:35
Last Modified:	06 Sep 2024 07:35
URI:	https://eref.uni-bayreuth.de/id/eprint/90349