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Gamification in Nutrition Apps : Users' Gamification Element Preferences : A Best-Worst-Scaling Approach

Title data

Berger, Michelle ; Jung, Carolin:
Gamification in Nutrition Apps : Users' Gamification Element Preferences : A Best-Worst-Scaling Approach.
2020
Event: ​54th Hawaii International Conference on System Sciences (HICSS) , 05.-08.01.2021 , Maui, Hawaii.
(Conference item: Conference , Speech )

Official URL: Volltext

Abstract in another language

An unhealthy diet has become aleading risk factor for many diseases.The use of gamification elements (GEs)in nutrition apps offers a promising approach to change the eating habit.But,the design ofGEs is ofteninsufficient, leading to low user retention. Hence,the consideration of the underlying context and the target users’preferencesis essential. By conducting a survey with 220 possible usersfollowing the best-worst-scaling method, we found thatgoals, performance graphs,progress bars, rewards, and levelswere the mostpreferredGEs in nutrition context. Leaderboards, narratives, social interaction,and badges were less desired.On average, five elements are perceivedasoptimal by most survey participants.Compared to users’ preferences in education and physical activity contexts, similarities, but also differences,were found.Our findings contributetoa better understanding of contextual differences of GEpreferencesand provide starting points for further research on gamification.

Further data

Item Type: Conference item (Speech)
Refereed: Yes
Keywords: Gamification Elements; User Preferences; Nutrition; Nutritional Applications; Health; Best-Worst-Scaling
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 > Fraunhofer Project Group Business and Information Systems Engineering
Research Institutions > Affiliated Institutes > FIM Research Center Finance & Information Management
Faculties
Faculties > Faculty of Law, Business and Economics
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: 19 Nov 2020 10:03
Last Modified: 12 Jan 2021 10:20
URI: https://eref.uni-bayreuth.de/id/eprint/59993