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Authors: Daniela Nickmann and Victor Oliveira

Affiliation: St. Pölten University of Applied Sciences, St. Pölten, Austria

Keyword(s): Infovis, Engagement, Mobile Applications, Food Waste.

Abstract: According to the United Nations, 17 percent of global food production is wasted, causing economic losses and significant environmental impact. Digital solutions like food storage management apps can raise awareness and combat this issue. However, their effectiveness relies on consistent user engagement. Therefore, this paper proposes and evaluates data visualization designs to enhance user engagement in mobile applications for tracking food waste. The study involves three steps: discussing the domain situation supported by relevant literature, outlining the process of creating two sets of four data visualization designs and conducting quantitative user surveys to validate the designs. The first experiment assesses user experience, while the second determines user engagement. Results indicate a preference for design approach two (Chart Set B), which also provides more accuracy and higher user engagement when the design aligns with users’ sustainability interests. These findings emphas ize the potential of engaging data visualizations to curb food waste and contribute to a more sustainable future. (More)

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Paper citation in several formats:
Nickmann, D. and Oliveira, V. (2024). Increasing User Engagement with a Tracking App Through Data Visualizations. In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - IVAPP; ISBN 978-989-758-679-8; ISSN 2184-4321, SciTePress, pages 637-644. DOI: 10.5220/0012322800003660

@conference{ivapp24,
author={Daniela Nickmann. and Victor Oliveira.},
title={Increasing User Engagement with a Tracking App Through Data Visualizations},
booktitle={Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - IVAPP},
year={2024},
pages={637-644},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012322800003660},
isbn={978-989-758-679-8},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - IVAPP
TI - Increasing User Engagement with a Tracking App Through Data Visualizations
SN - 978-989-758-679-8
IS - 2184-4321
AU - Nickmann, D.
AU - Oliveira, V.
PY - 2024
SP - 637
EP - 644
DO - 10.5220/0012322800003660
PB - SciTePress

- Science and Technology Publications, Lda.
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