Rasch-based tailored goals for nutrition assistance systems

Hanna Schäfer; Martijn C. Willemsen

doi:10.1145/3301275.3302298

Rasch-based tailored goals for nutrition assistance systems

Hanna Schäfer
, Martijn C. Willemsen

Human Technology Interaction

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

29 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Proceedings of the 24th International Conference on Intelligent User Interfaces
Place of Publication	New York, NY, USA
Publisher	ACM/IEEE
Pages	18-29
Number of pages	12
ISBN (Print)	978-1-4503-6272-6
DOIs	https://doi.org/10.1145/3301275.3302298
Publication status	Published - 2019
Event	24th International Conference on Intelligent User Interfaces, IUI 2019 - Los Angeles, United States Duration: 17 Mar 2019 → 20 Mar 2019 Conference number: 24 https://iui.acm.org/2019/

Conference

Conference	24th International Conference on Intelligent User Interfaces, IUI 2019
Abbreviated title	IUI 2019
Country/Territory	United States
City	Los Angeles
Period	17/03/19 → 20/03/19
Internet address	https://iui.acm.org/2019/

Keywords

Behavior change
Enable-Cluster
Nutrition
Rasch model
Recommender systems
User experience

Access to Document

10.1145/3301275.3302298

Cite this

@inproceedings{82f5396ff7ee42d5991d3eafc928d7a8,

title = "Rasch-based tailored goals for nutrition assistance systems",

abstract = "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.",

keywords = "behavior change, enable-cluster, nutrition, rasch model, recommender systems, user experience, Behavior change, Enable-Cluster, Nutrition, Rasch model, Recommender systems, User experience",

author = "Hanna Sch{\"a}fer and Willemsen, \{Martijn C.\}",

year = "2019",

doi = "10.1145/3301275.3302298",

language = "English",

isbn = "978-1-4503-6272-6",

pages = "18--29",

booktitle = "Proceedings of the 24th International Conference on Intelligent User Interfaces",

publisher = "ACM/IEEE",

note = "24th International Conference on Intelligent User Interfaces, IUI 2019, IUI 2019 ; Conference date: 17-03-2019 Through 20-03-2019",

url = "https://iui.acm.org/2019/",

}

Schäfer, H & Willemsen, MC 2019, Rasch-based tailored goals for nutrition assistance systems. in Proceedings of the 24th International Conference on Intelligent User Interfaces. ACM/IEEE, New York, NY, USA, pp. 18-29, 24th International Conference on Intelligent User Interfaces, IUI 2019, Los Angeles, California, United States, 17/03/19. https://doi.org/10.1145/3301275.3302298

TY - GEN

T1 - Rasch-based tailored goals for nutrition assistance systems

AU - Schäfer, Hanna

AU - Willemsen, Martijn C.

N1 - Conference code: 24

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

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

KW - Behavior change

KW - Enable-Cluster

KW - Nutrition

KW - Rasch model

KW - Recommender systems

KW - User experience

UR - https://www.scopus.com/pages/publications/85065589423

U2 - 10.1145/3301275.3302298

DO - 10.1145/3301275.3302298

M3 - Conference contribution

SN - 978-1-4503-6272-6

SP - 18

EP - 29

BT - Proceedings of the 24th International Conference on Intelligent User Interfaces

PB - ACM/IEEE

CY - New York, NY, USA

T2 - 24th International Conference on Intelligent User Interfaces, IUI 2019

Y2 - 17 March 2019 through 20 March 2019

ER -

Rasch-based tailored goals for nutrition assistance systems

Abstract

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Keywords

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