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.
CITATION STYLE
Plecher, D. A., Eichhorn, C., Steinmetz, C., & Klinker, G. (2020). TrackSugAR. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12198 LNCS, pp. 442–459). Springer. https://doi.org/10.1007/978-3-030-49904-4_33
Mendeley helps you to discover research relevant for your work.