An Ontology-Based Serious Game Design for the Development of Nutrition and Food Literacy Skills

Mitsis, Konstantinos; Zarkogianni, Konstantia; Bountouni, Nefeli; Αθανασίου, Μαρία; Nikita, Konstantina S.

doi:10.1109/embc.2019.8856604

Cited by 18 publications

(10 citation statements)

References 11 publications

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“…“Express Cooking Train” (ECT) [ 36 ] is a SG which has been developed with GameMaker Studio 1 [ 37 ] for Microsoft Windows and has been employed as a case study for the experimental process. ECT employs ontology modelling to create a gamified virtual kitchen environment and provides a safe trial and error simulation environment to support its educational goals towards healthier cooking practices and eating habits.…”

Section: Methodsmentioning

confidence: 99%

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A Multimodal Approach for Real Time Recognition of Engagement towards Adaptive Serious Games for Health

Mitsis

Zarkogianni

Kalafatis

et al. 2022

Sensors

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In this article, an unobtrusive and affordable sensor-based multimodal approach for real time recognition of engagement in serious games (SGs) for health is presented. This approach aims to achieve individualization in SGs that promote self-health management. The feasibility of the proposed approach was investigated by designing and implementing an experimental process focusing on real time recognition of engagement. Twenty-six participants were recruited and engaged in sessions with a SG that promotes food and nutrition literacy. Data were collected during play from a heart rate sensor, a smart chair, and in-game metrics. Perceived engagement, as an approximation to the ground truth, was annotated continuously by participants. An additional group of six participants were recruited for smart chair calibration purposes. The analysis was conducted in two directions, firstly investigating associations between identified sitting postures and perceived engagement, and secondly evaluating the predictive capacity of features extracted from the multitude of sources towards the ground truth. The results demonstrate significant associations and predictive capacity from all investigated sources, with a multimodal feature combination displaying superiority over unimodal features. These results advocate for the feasibility of real time recognition of engagement in adaptive serious games for health by using the presented approach.

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Section: Methodsmentioning

confidence: 99%

“…Ontology modelling facilitates the incorporation of PCG techniques that control SG content. The SG is built on a theoretical conceptual framework that incorporates various game mechanics and reward systems [ 36 ], with the goal of empowering and supporting sustainable healthy lifestyle changes.…”

Section: Methodsmentioning

confidence: 99%

A Multimodal Approach for Real Time Recognition of Engagement towards Adaptive Serious Games for Health

Mitsis

Zarkogianni

Kalafatis

et al. 2022

Sensors

Self Cite

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“…In this research, the ontology design adopted the research that Mitsis [20] had done in designing ontology for nutrition and food. A simple ontology design on the ontology of medicinal plants and their efficacy can be seen in Figure 2.…”

Section: Ontology Designmentioning

confidence: 99%

Ontology Data Modeling of Indonesian Medicinal Plants and Efficacy

2022

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People use medicinal plants for as early prevention and treating disease. Medicinal plants must be careful not to cause side effects, so knowledge is needed. Medicinal plant knowledge is stored using an ontology data model. In some ontology studies, there are still shortcomings in managing information, namely the absence of a relationship between scientific terms related to medicinal plants and phrases already known to the public. Hence, it is necessary to have this relationship. In other studies, there is no information related to disease protein, so this research also develops ontologies to enrich knowledge about medicinal plants and their efficacy. Based on the results, the developed ontology test can build a relationship between scientific terms of therapeutic pants and phrases that are known to the public. The public also knows which proteins affect a disease, so public knowledge about medicinal plants is getting wider.

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“…Another is a basic application ontology (Food Ontology) from the British Broadcasting Corporation's Ontologies for food and recipes [23]. The Recipe Ontology [24] is an application ontology for a serious gaming project. This ontology models rules and information related to recipes and supports personalized player profiles.…”

Section: Related Food Ontologiesmentioning

confidence: 99%

The ontology of fast food facts: conceptualization of nutritional fast food data for consumers and semantic web applications

Amith

Onye

Ledoux

et al. 2021

BMC Med Inform Decis Mak

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Background Fast food with its abundance and availability to consumers may have health consequences due to the high calorie intake which is a major contributor to life threatening diseases. Providing nutritional information has some impact on consumer decisions to self regulate and promote healthier diets, and thus, government regulations have mandated the publishing of nutritional content to assist consumers, including for fast food. However, fast food nutritional information is fragmented, and we realize a benefit to collate nutritional data to synthesize knowledge for individuals. Methods We developed the ontology of fast food facts as an opportunity to standardize knowledge of fast food and link nutritional data that could be analyzed and aggregated for the information needs of consumers and experts. The ontology is based on metadata from 21 fast food establishment nutritional resources and authored in OWL2 using Protégé. Results Three evaluators reviewed the logical structure of the ontology through natural language translation of the axioms. While there is majority agreement (76.1% pairwise agreement) of the veracity of the ontology, we identified 103 out of the 430 statements that were erroneous. We revised the ontology and publicably published the initial release of the ontology. The ontology has 413 classes, 21 object properties, 13 data properties, and 494 logical axioms. Conclusion With the initial release of the ontology of fast food facts we discuss some future visions with the continued evolution of this knowledge base, and the challenges we plan to address, like the management and publication of voluminous amount of semantically linked fast food nutritional data.

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An Ontology-Based Serious Game Design for the Development of Nutrition and Food Literacy Skills

Cited by 18 publications

References 11 publications

A Multimodal Approach for Real Time Recognition of Engagement towards Adaptive Serious Games for Health

A Multimodal Approach for Real Time Recognition of Engagement towards Adaptive Serious Games for Health

Ontology Data Modeling of Indonesian Medicinal Plants and Efficacy

The ontology of fast food facts: conceptualization of nutritional fast food data for consumers and semantic web applications

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