ADAPT: Approach to Develop context-Aware solutions for Personalised asthma managemenT

Quinde, Mario; Augusto, Juan Carlos; Khan, Nawaz; Wyk, Aléchia van

doi:10.1016/j.jbi.2020.103586

Cited by 14 publications

(5 citation statements)

References 72 publications

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“…Using the implemented demonstrator, the home assistant was evaluated by carrying out tests with end users. Aligned with recent similar evaluations [ 57 ], the performed evaluation involved the visualisation of a video, which shows the assistant being used by a person in the context and for the scenario described in Section 3 . The focus of this evaluation was the integrated multimodal interaction with real smart home devices (using text and speech input/output).…”

Section: Discussionmentioning

confidence: 99%

An Accessible Smart Home Based on Integrated Multimodal Interaction

Rocha

Ketsmur

Almeida

et al. 2021

Sensors

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Our homes are becoming increasingly sensorized and smarter. However, they are also becoming increasingly complex, making accessing them and their advantages difficult. Assistants have the potential for improving the accessibility of smart homes, by providing everyone with an integrated, natural, and multimodal way of interacting with the home’s ecosystem. To demonstrate this potential and contribute to more environmentally friendly homes, in the scope of the project Smart Green Homes, a home assistant highly integrated with an ICT (Information and communications technology) home infrastructure was developed, deployed in a demonstrator, and evaluated by seventy users. The users’ global impression of our home assistant is in general positive, with 61% of the participants rating it as good or excellent overall and 51% being likely or very likely to recommend it to others. Moreover, most think that the assistant enhances interaction with the smart home’s multiple devices and is easy to use by everyone. These results show that a home assistant providing an integrated view of a smart home, through natural, multimodal, and adaptive interaction, is a suitable solution for enhancing the accessibility of smart homes and thus contributing to a better living ambient for all of their inhabitants.

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Section: Discussionmentioning

confidence: 99%

An Accessible Smart Home Based on Integrated Multimodal Interaction

Rocha

Ketsmur

Almeida

et al. 2021

Sensors

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“…In the realm of healthcare applications, recommendation systems are widely used in various health-related processes. For example, a system called DIETOS provides individualized nutritional advice to enhance the quality of life of patients with diet-related chronic diseases during the treatment process [28]; E-CARE was introduced to promote remote e-healthcare services, classified into three divisions (primary, secondary, and emergency) [29]; and a system called ADAPT provides context-aware solutions for personalized asthma management [30].…”

Section: Context-aware Recommendations In Healthcarementioning

confidence: 99%

Context-aware Based Personalized Recommendation on Mobile for Monitoring Excessive Sugar Consumption of Thai Adolescents

Suwan

Temdee

Prasad

2022

JMM

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Given the harmful effects of excessive sugar consumption, everyone should be aware of the amount of sugar they consume in daily life. Generally, managing nutrition and preventing negative effects from sugar intake requires a nutritional specialist or specialized knowledge, which may not always be readily accessible or understandable. Therefore, there is a need for a mobile application that can track excessive sugar consumption. This study proposes a context-aware personalized recommendation mobile application for monitoring excessive sugar consumption and providing individual recommendations (based on a predefined set of 144 rules) to Thai adolescents. The application is user friendly and can be used to provide recommendations to users for sugar consumption and proper exercise each day. Personal, health, and lifestyle data are collected and analyzed to provide individualized recommendations to each user. Experiments were conducted with 140 Thai adolescents aged 15 to 25 years old. Users’ preferences regarding degree of awareness in presentation style were also investigated. Users rated their satisfaction with the proposed mobile application as very high in terms of both function and personalization. In addition, fully automated recommendations were found to be the preferred degree of awareness among the test group.

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“…In healthcare education, developing educational systems to support learning activities involving ubiquitous computing technologies has been an emerging research topic [42,43]. Healthcare for the individual goes beyond offices and hospitals.…”

Section: Ubiquitous Learning In Healthmentioning

confidence: 99%

Ontology-Based Reasoning for Educational Assistance in Noncommunicable Chronic Diseases

et al. 2021

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Noncommunicable chronic diseases (NCDs) affect a large part of the population. With the emergence of COVID-19, its most severe cases impact people with NCDs, increasing the mortality rate. For this reason, it is necessary to develop personalized solutions to support healthcare considering the specific characteristics of individuals. This paper proposes an ontology to represent the knowledge of educational assistance in NCDs. The purpose of ontology is to support educational practices and systems oriented towards preventing and monitoring these diseases. The ontology is implemented under Protégé 5.5.0 in Ontology Web Language (OWL) format, and defined competency questions, SWRL rules, and SPARQL queries. The current version of ontology includes 138 classes, 31 relations, 6 semantic rules, and 575 axioms. The ontology serves as a NCDs knowledge base and supports automatic reasoning. Evaluations performed through a demo dataset demonstrated the effectiveness of the ontology. SWRL rules were used to define accurate axioms, improving the correct classification and inference of six instantiated individuals. As a scientific contribution, this study presents the first ontology for educational assistance in NCDs.

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ADAPT: Approach to Develop context-Aware solutions for Personalised asthma managemenT

Cited by 14 publications

References 72 publications

An Accessible Smart Home Based on Integrated Multimodal Interaction

An Accessible Smart Home Based on Integrated Multimodal Interaction

Context-aware Based Personalized Recommendation on Mobile for Monitoring Excessive Sugar Consumption of Thai Adolescents

Ontology-Based Reasoning for Educational Assistance in Noncommunicable Chronic Diseases

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