Make It Short: A Pilot Study on an Adaptive Nutrition Tracking App

Martin Lurz; Barbara Prommegger; Markus Böhm; Helmut Krcmar

doi:10.1007/978-3-031-35572-1_4

Make It Short: A Pilot Study on an Adaptive Nutrition Tracking App

Martin Lurz
, Barbara Prommegger
, Markus Böhm
, Helmut Krcmar

TUM Emeriti of Excellence

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

Abstract

Over the years, obesity has been rising. This does not only lead to a higher prevalence of non-communicable diseases that affect the health of an individual, but also high costs for society. Although existing research in the field of mobile health suggests that mobile nutrition tracking applications can be considered a well-accepted and low-cost intervention, current nutrition apps are struggling in multiple areas like time-intense food tracking, incorrect reporting by users, and neglect of aspects such as in variety. For this reason, this study has iteratively developed a mobile app that allows users to decide for themselves how precisely, and therefore, how time-consuming, they want to track their diets. In a final study, it was evaluated how the new tracking method was used, perceived, and accepted by users. Good ratings were observed for usability as well as a large majority of food records accompanied with extensive details.

Original language	English
Title of host publication	Human-Computer Interaction - Thematic Area, HCI 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings
Editors	Masaaki Kurosu, Ayako Hashizume
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	50-66
Number of pages	17
ISBN (Print)	9783031355714
DOIs	https://doi.org/10.1007/978-3-031-35572-1_4
State	Published - 2023
Event	Thematic Area on Human Computer Interaction, HCI 2023, held as part of the 25th International Conference on Human-Computer Interaction, HCII 2023 - Copenhagen, Denmark Duration: 23 Jul 2023 → 28 Jul 2023

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	14014 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	Thematic Area on Human Computer Interaction, HCI 2023, held as part of the 25th International Conference on Human-Computer Interaction, HCII 2023
Country/Territory	Denmark
City	Copenhagen
Period	23/07/23 → 28/07/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Acceptance
App
Behavior
Nutrition
Usability
User
mHealth

Access to Document

10.1007/978-3-031-35572-1_4

Cite this

Lurz, M., Prommegger, B., Böhm, M., & Krcmar, H. (2023). Make It Short: A Pilot Study on an Adaptive Nutrition Tracking App. In M. Kurosu, & A. Hashizume (Eds.), Human-Computer Interaction - Thematic Area, HCI 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings (pp. 50-66). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14014 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-35572-1_4

Lurz, Martin ; Prommegger, Barbara ; Böhm, Markus et al. / Make It Short : A Pilot Study on an Adaptive Nutrition Tracking App. Human-Computer Interaction - Thematic Area, HCI 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings. editor / Masaaki Kurosu ; Ayako Hashizume. Springer Science and Business Media Deutschland GmbH, 2023. pp. 50-66 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{1d86e29153ed40cdaf5e008d4f954c3b,

title = "Make It Short: A Pilot Study on an Adaptive Nutrition Tracking App",

abstract = "Over the years, obesity has been rising. This does not only lead to a higher prevalence of non-communicable diseases that affect the health of an individual, but also high costs for society. Although existing research in the field of mobile health suggests that mobile nutrition tracking applications can be considered a well-accepted and low-cost intervention, current nutrition apps are struggling in multiple areas like time-intense food tracking, incorrect reporting by users, and neglect of aspects such as in variety. For this reason, this study has iteratively developed a mobile app that allows users to decide for themselves how precisely, and therefore, how time-consuming, they want to track their diets. In a final study, it was evaluated how the new tracking method was used, perceived, and accepted by users. Good ratings were observed for usability as well as a large majority of food records accompanied with extensive details.",

keywords = "Acceptance, App, Behavior, Nutrition, Usability, User, mHealth",

author = "Martin Lurz and Barbara Prommegger and Markus B{\"o}hm and Helmut Krcmar",

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year = "2023",

doi = "10.1007/978-3-031-35572-1\_4",

language = "English",

isbn = "9783031355714",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "50--66",

editor = "Masaaki Kurosu and Ayako Hashizume",

booktitle = "Human-Computer Interaction - Thematic Area, HCI 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings",

}

Lurz, M, Prommegger, B, Böhm, M & Krcmar, H 2023, Make It Short: A Pilot Study on an Adaptive Nutrition Tracking App. in M Kurosu & A Hashizume (eds), Human-Computer Interaction - Thematic Area, HCI 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 14014 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 50-66, Thematic Area on Human Computer Interaction, HCI 2023, held as part of the 25th International Conference on Human-Computer Interaction, HCII 2023, Copenhagen, Denmark, 23/07/23. https://doi.org/10.1007/978-3-031-35572-1_4

Make It Short: A Pilot Study on an Adaptive Nutrition Tracking App. / Lurz, Martin; Prommegger, Barbara; Böhm, Markus et al.
Human-Computer Interaction - Thematic Area, HCI 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings. ed. / Masaaki Kurosu; Ayako Hashizume. Springer Science and Business Media Deutschland GmbH, 2023. p. 50-66 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14014 LNCS).

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

TY - GEN

T1 - Make It Short

T2 - Thematic Area on Human Computer Interaction, HCI 2023, held as part of the 25th International Conference on Human-Computer Interaction, HCII 2023

AU - Lurz, Martin

AU - Prommegger, Barbara

AU - Böhm, Markus

AU - Krcmar, Helmut

PY - 2023

Y1 - 2023

N2 - Over the years, obesity has been rising. This does not only lead to a higher prevalence of non-communicable diseases that affect the health of an individual, but also high costs for society. Although existing research in the field of mobile health suggests that mobile nutrition tracking applications can be considered a well-accepted and low-cost intervention, current nutrition apps are struggling in multiple areas like time-intense food tracking, incorrect reporting by users, and neglect of aspects such as in variety. For this reason, this study has iteratively developed a mobile app that allows users to decide for themselves how precisely, and therefore, how time-consuming, they want to track their diets. In a final study, it was evaluated how the new tracking method was used, perceived, and accepted by users. Good ratings were observed for usability as well as a large majority of food records accompanied with extensive details.

AB - Over the years, obesity has been rising. This does not only lead to a higher prevalence of non-communicable diseases that affect the health of an individual, but also high costs for society. Although existing research in the field of mobile health suggests that mobile nutrition tracking applications can be considered a well-accepted and low-cost intervention, current nutrition apps are struggling in multiple areas like time-intense food tracking, incorrect reporting by users, and neglect of aspects such as in variety. For this reason, this study has iteratively developed a mobile app that allows users to decide for themselves how precisely, and therefore, how time-consuming, they want to track their diets. In a final study, it was evaluated how the new tracking method was used, perceived, and accepted by users. Good ratings were observed for usability as well as a large majority of food records accompanied with extensive details.

KW - Acceptance

KW - App

KW - Behavior

KW - Nutrition

KW - Usability

KW - User

KW - mHealth

UR - https://www.scopus.com/pages/publications/85173018257

U2 - 10.1007/978-3-031-35572-1_4

DO - 10.1007/978-3-031-35572-1_4

M3 - Conference contribution

AN - SCOPUS:85173018257

SN - 9783031355714

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 50

EP - 66

BT - Human-Computer Interaction - Thematic Area, HCI 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings

A2 - Kurosu, Masaaki

A2 - Hashizume, Ayako

PB - Springer Science and Business Media Deutschland GmbH

Y2 - 23 July 2023 through 28 July 2023

ER -

Lurz M, Prommegger B, Böhm M, Krcmar H. Make It Short: A Pilot Study on an Adaptive Nutrition Tracking App. In Kurosu M, Hashizume A, editors, Human-Computer Interaction - Thematic Area, HCI 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings. Springer Science and Business Media Deutschland GmbH. 2023. p. 50-66. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-35572-1_4

Make It Short: A Pilot Study on an Adaptive Nutrition Tracking App

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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