Design of a lifestyle recommender system for the elderly

Hammer, Stephan; Seiderer, Andreas; André, Elisabeth; Rist, Thomas; Kastrinaki, Sofia; Hondrou, Charline; Raouzaiou, Amaryllis; Karpouzis, Kostas; Kollias, Stefanos

doi:10.1145/2769493.2769559

Cited by 18 publications

(10 citation statements)

References 17 publications

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“…Therefore, with this specific objective, demographic information might not be imperative. As for the type of data collection to obtain knowledge about the hypertensive patient, the model of this study follows the hybrid methodology introduced by Hammer et al [53], which is information collected explicitly and implicitly.…”

Section: A Hypermodel2parmentioning

confidence: 99%

A Physical Activity Recommender System for Patients With Arterial Hypertension

et al. 2020

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Recommender systems have been applied in several areas, including e-Health systems, which refers to information and health services enhanced through technology. However, most studies aim at imposing rules to improve lifestyle, rather than recommending nutrition and physical activities. In this context, this study aims to develop a system for recommending physical activities for hypertensive patients to create opportunities for the patients so they can search for and create a healthy lifestyle. To achieve this goal, we elaborated on a hypertensive user profile model, called HyperModel2PAR, and a physical activity recommender system for hypertensive patients, called HyperRecSysPA. The model resulting from this study is composed of 32 elements divided into three groups, which were used in the modeling of user profiles within the system for generating HyperRecSysPA recommendations. The developed system was validated by physicians who answered a specific questionnaire. As a result, ∼ 75% of the recommendations generated were approved. Therefore, this study has prospective contributions to the literature, since both models obtained conclusive results in the assessments performed.

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Section: A Hypermodel2parmentioning

confidence: 99%

A Physical Activity Recommender System for Patients With Arterial Hypertension

et al. 2020

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“…In the context of health care progress has been made regarding the communication between robots and recommender systems, see Hammer et al ( 2015 ) and Tang et al ( 2015 ). Robots connected to recommender systems have also been developed in the context of business providing other services as shown in Koo et al ( 2011 ) and Kamei et al ( 2011 ).…”

Section: Methodsmentioning

confidence: 99%

ARTIE: An Integrated Environment for the Development of Affective Robot Tutors

Cuadrado¹,

Riesco

López

2016

Front. Comput. Neurosci.

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Over the last decade robotics has attracted a great deal of interest from teachers and researchers as a valuable educational tool from preschool to highschool levels. The implementation of social-support behaviors in robot tutors, in particular in the emotional dimension, can make a significant contribution to learning efficiency. With the aim of contributing to the rising field of affective robot tutors we have developed ARTIE (Affective Robot Tutor Integrated Environment). We offer an architectural pattern which integrates any given educational software for primary school children with a component whose function is to identify the emotional state of the students who are interacting with the software, and with the driver of a robot tutor which provides personalized emotional pedagogical support to the students. In order to support the development of affective robot tutors according to the proposed architecture, we also provide a methodology which incorporates a technique for eliciting pedagogical knowledge from teachers, and a generic development platform. This platform contains a component for identiying emotional states by analysing keyboard and mouse interaction data, and a generic affective pedagogical support component which specifies the affective educational interventions (including facial expressions, body language, tone of voice,…) in terms of BML (a Behavior Model Language for virtual agent specification) files which are translated into actions of a robot tutor. The platform and the methodology are both adapted to primary school students. Finally, we illustrate the use of this platform to build a prototype implementation of the architecture, in which the educational software is instantiated with Scratch and the robot tutor with NAO. We also report on a user experiment we carried out to orient the development of the platform and of the prototype. We conclude from our work that, in the case of primary school students, it is possible to identify, without using intrusive and expensive identification methods, the emotions which most affect the character of educational interventions. Our work also demonstrates the feasibility of a general-purpose architecture of decoupled components, in which a wide range of educational software and robot tutors can be integrated and then used according to different educational criteria.

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“…The smart floor 48 tracks location, the smart shelf 49 monitors in-stock products, the smart sink 50 controls temperature and water flow and the magnetic board 51 tracks physical activity accessories’ usage.…”

Section: Self-monitoringmentioning

confidence: 99%

Survey on virtual coaching for older adults

Lete¹,

Beristáin

García-Alonso

2020

Health Informatics J

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Virtual coaching has emerged as a promising solution to extend independent living for older adults. A virtual coach system is an always-attentive personalized system that continuously monitors user’s activity and surroundings and delivers interventions – that is, intentional messages – in the appropriate moment. This article presents a survey of different approaches in virtual coaching for older adults, from the less technically supported tools to the latest developments and future avenues for research. It focuses on the technical aspects, especially on software architectures, user interaction and coaching personalization. Nevertheless, some aspects from the fields of personality/social psychology are also presented in the context of coaching strategies. Coaching is considered holistically, including matters such as physical and cognitive training, nutrition, social interaction and mood.

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Design of a lifestyle recommender system for the elderly

Cited by 18 publications

References 17 publications

A Physical Activity Recommender System for Patients With Arterial Hypertension

A Physical Activity Recommender System for Patients With Arterial Hypertension

ARTIE: An Integrated Environment for the Development of Affective Robot Tutors

Survey on virtual coaching for older adults

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