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TrackSugAR

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Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Posture, Motion and Health (HCII 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12198))

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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 \(89\pm 8\) in the SUS and \(91\pm 7\) 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.

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Notes

  1. 1.

    https://apps.apple.com/de/app/tracksugar/id1494886708.

  2. 2.

    This number refers to 2016 (published by the WHO in 2018).

  3. 3.

    The term Hazardratio is a measure that quantifies the difference of survival times in different groups of patients. It indicates by how much the mortality rate in one group is higher compared to the mortality rate in the other group [57].

  4. 4.

    If the hazard ratio, as in the present data analysis, is 2.75 for one group, the mortality rate in this group is 2.75 times as high as in the reference group (or 175% higher).

  5. 5.

    More information on the Charts framework under https://github.com/danielgindi/Charts.

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Acknowledgments

The preparation of this paper was supported by the enable cluster and is catalogued by the enable steering committee as enable 55 (http://enable-cluster.de). This work was funded by a grant of the German Ministry for Education and Research (BMBF) FK 01EA1807A.

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Authors and Affiliations

  1. Chair for Computer Aided Medical Procedures and Augmented Reality, The Technical University of Munich (TUM), Munich, Germany

    David A. Plecher, Christian Eichhorn, Conrad Steinmetz & Gudrun Klinker

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  1. David A. Plecher
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  2. Christian Eichhorn
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  3. Conrad Steinmetz
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Correspondence to David A. Plecher .

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  1. Purdue University, West Lafayette, IN, USA

    Vincent G. Duffy

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Plecher, D.A., Eichhorn, C., Steinmetz, C., Klinker, G. (2020). TrackSugAR. In: Duffy, V. (eds) Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Posture, Motion and Health. HCII 2020. Lecture Notes in Computer Science(), vol 12198. Springer, Cham. https://doi.org/10.1007/978-3-030-49904-4_33

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  • DOI: https://doi.org/10.1007/978-3-030-49904-4_33

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