Rasch-based tailored goals for nutrition assistance systems

Hanna Schäfer, Martijn C. Willemsen

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

7 Citaten (Scopus)

Samenvatting

Choosing adequate goals plays is central to the success of a task. With this study, we investigate tailoring the goals of a nutrition assistance system to the user's abilities according to a Rasch scale. To that end, we evaluated two versions of a mobile system that offers dietary tracking, visual feedback, and personalized recipe recommendations. The original version targets optimal nutritional behavior and focuses on the six least optimal nutrients (N=51). The adapted version targets only improved nutritional behavior compared to the status quo and thus tailors the advice to the next six achievable nutrients according to a Rasch scale (N=47). Results of the two-week study indicate that the tailored advice leads to higher success for the focused nutrients, and is perceived to be more diverse and personalized, and thus more effective.
Originele taal-2Engels
TitelProceedings of the 24th International Conference on Intelligent User Interfaces
Plaats van productieNew York, NY, USA
UitgeverijACM/IEEE
Pagina's18-29
Aantal pagina's12
ISBN van geprinte versie978-1-4503-6272-6
DOI's
StatusGepubliceerd - 2019
EvenementACM IUI 2019 24th International Conference on Intelligent User Interfaces - Los Angeles, Verenigde Staten van Amerika
Duur: 17 mrt 201920 mrt 2019
https://iui.acm.org/2019/

Congres

CongresACM IUI 2019 24th International Conference on Intelligent User Interfaces
Verkorte titelIUI2019
LandVerenigde Staten van Amerika
StadLos Angeles
Periode17/03/1920/03/19
Internet adres

Trefwoorden

  • behavior change, enable-cluster, nutrition, rasch model, recommender systems, user experience

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  • Citeer dit

    Schäfer, H., & Willemsen, M. C. (2019). Rasch-based tailored goals for nutrition assistance systems. In Proceedings of the 24th International Conference on Intelligent User Interfaces (blz. 18-29). ACM/IEEE. https://doi.org/10.1145/3301275.3302298