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TrackSugAR

  • David A. Plecher
  • , Christian Eichhorn
  • , Conrad Steinmetz
  • , Gudrun Klinker
  • Technical University of Munich

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

Motivation - According to WHO about 41 million people per year die from the consequences of Noncommunicable Diseases like cancer, diabetes and cardiovascular diseases. Physical inactivity and poor dietary behavior like expressive sugar consumption have been observed to promote the emergence of such a disease significantly. Objective - As part of this paper, a native iOS application called “TrackSugAR” shall be developed, which is capable of visualizing sugar amounts in foods with Augmented Reality (AR) to support users in continuously diminishing their daily sugar consumption. Methods - For this purpose the Design Science Research Methodology by Peffers et al. [31] is used. This method provides guidance through the entire process of developing a functional software prototype. To evaluate the usability of the application, approved questionnaires such as SUS and HARUS are applied in a first evaluation stage with 14 participants. Results - Based on the data from these questionnaires, the TrackSugAR app scored in the SUS and in the HARUS. Likewise, the results from the first evaluation phase admit the conclusion that AR increases the ability of users to quantify the sugar amounts present in food products.

Original languageEnglish
Title of host publicationDigital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Posture, Motion and Health - 11th International Conference, DHM 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Proceedings
EditorsVincent G. Duffy
PublisherSpringer
Pages442-459
Number of pages18
ISBN (Print)9783030499037
DOIs
StatePublished - 2020
Event11th International Conference on Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management, DHM 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020 - Copenhagen, Denmark
Duration: 19 Jul 202024 Jul 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12198 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th International Conference on Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management, DHM 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020
Country/TerritoryDenmark
CityCopenhagen
Period19/07/2024/07/20

Keywords

  • Augmented Reality
  • Consumer behavior
  • Diabetes
  • Health
  • Mobile application
  • Sugar

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