Enriching companion robots with enhanced reminiscence abilities

In this document I will go on discussing a project conceived by Professor Andrea Giovanni Nuzzolese and Alessandro Russo, both researchers and developers of some of the main aspects of project Mario at CNR Rome. MARIO is a robot, part of a robotics company called KOMPAÏ Robotics that deals with the production and management of Robots who take care of elderly people who suffer from dementia or who still need an aid; more generally speaking, there is talk of weak and lonely people within an organization and / or institutions (nursing homes ...) or in their own homes. There are numerous characteristics of MARIO, which ultimately contribute to all those which are the manufacturing objectives of KOMPAÏ Robotics. My project, or rather my contribution to MARIO, is to look for a specific method which let the robot show a specific set of photos to the user according to the expressions, feelings and emotions, the user will reveal. Example: the robot randomly chooses a marriage photo and the user suddenly start to laugh and to express positive feelings with positive words; the robot will try to understand if it’s a good photo for the user or not, and in the first case will continue to show the same kind of pictures while in the second case, will change completely set of photos to be shown. The pleasure of the subject expressed in relation to a photo must be subject to an index of interest between predefined and specified values that may be to show a certain interest in a picture or the subjects within the image or the situation that surrounds them

Cognitive assisted living ambient system: a survey

The demographic change towards an aging population is creating a significant impact and introducing drastic challenges to our society. We therefore need to find ways to assist older people to stay independently and prevent social isolation of these population. Information and Communication Technologies (ICT) provide various solutions to help older adults to improve their quality of life, stay healthier, and live independently for a time. Ambient Assisted Living (AAL) is a field to investigate innovative technologies to provide assistance as well as healthcare and rehabilitation to impaired seniors. The paper provides a review of research background and technologies of AAL

Assistive technology design and development for acceptable robotics companions for ageing years

© 2013 Farshid Amirabdollahian et al., licensee Versita Sp. z o. o. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivs license, which means that the text may be used for non-commercial purposes, provided credit is given to the author.A new stream of research and development responds to changes in life expectancy across the world. It includes technologies which enhance well-being of individuals, specifically for older people. The ACCOMPANY project focuses on home companion technologies and issues surrounding technology development for assistive purposes. The project responds to some overlooked aspects of technology design, divided into multiple areas such as empathic and social human-robot interaction, robot learning and memory visualisation, and monitoring persons’ activities at home. To bring these aspects together, a dedicated task is identified to ensure technological integration of these multiple approaches on an existing robotic platform, Care-O-Bot®3 in the context of a smart-home environment utilising a multitude of sensor arrays. Formative and summative evaluation cycles are then used to assess the emerging prototype towards identifying acceptable behaviours and roles for the robot, for example role as a butler or a trainer, while also comparing user requirements to achieved progress. In a novel approach, the project considers ethical concerns and by highlighting principles such as autonomy, independence, enablement, safety and privacy, it embarks on providing a discussion medium where user views on these principles and the existing tension between some of these principles, for example tension between privacy and autonomy over safety, can be captured and considered in design cycles and throughout project developmentsPeer reviewe

Voisivatko robotit vahvistaa hoivakodeissa asuvien vanhojen ihmisten autonomiaa? - Tulevaisuusorientoitunut tutkimus

There is an urge to introduce high technology and robotics in care settings. Assisted living (AL) is the fastest growing form of older adults’ long-term care. Resident autonomy has become the watchword for good care. This article sheds light on the potential effects of care robotics on the sense of autonomy of older people in AL. Three aspects of the residents’ sense of autonomy are of particular interest: (a) interaction-based sense of autonomy, (b) coping-based sense of autonomy, and (c) potential-based sense of autonomy. Ethnographical data on resident autonomy in an AL facility and existing literature on care robots are utilized in studying what kind of assurances different types of robots would provide to maintain the sense of autonomy in AL. Robots could strengthen the different types of sense of autonomy in multiple ways. Different types of robots could widen the residents’ space of daily movements, sustain their capacities, and help them maintain and even create future expectations. Robots may strengthen the sense of autonomy of older persons in AL; however, they may simultaneously pose a threat. Multi-professional discussions are needed on whether robots are welcomed in care, and if they are, how, for whom, and in what areas.There is an urge to introduce high technology and robotics in care settings. Assisted living (AL) is the fastest growing form of older adults’ long-term care. Resident autonomy has become the watchword for good care. This article sheds light on the potential effects of care robotics on the sense of autonomy of older people in AL. Three aspects of the residents’ sense of autonomy are of particular interest: (a) interaction-based sense of autonomy, (b) coping-based sense of autonomy, and (c) potential-based sense of autonomy. Ethnographical data on resident autonomy in an AL facility and existing literature on care robots are utilized in studying what kind of assurances different types of robots would provide to maintain the sense of autonomy in AL. Robots could strengthen the different types of sense of autonomy in multiple ways. Different types of robots could widen the residents’ space of daily movements, sustain their capacities, and help them maintain and even create future expectations. Robots may strengthen the sense of autonomy of older persons in AL; however, they may simultaneously pose a threat. Multi-professional discussions are needed on whether robots are welcomed in care, and if they are, how, for whom, and in what areas.Peer reviewe

A Reference Software Architecture for Social Robots

Social Robotics poses tough challenges to software designers who are required to take care of difficult architectural drivers like acceptability, trust of robots as well as to guarantee that robots establish a personalised interaction with their users. Moreover, in this context recurrent software design issues such as ensuring interoperability, improving reusability and customizability of software components also arise. Designing and implementing social robotic software architectures is a time-intensive activity requiring multi-disciplinary expertise: this makes difficult to rapidly develop, customise, and personalise robotic solutions. These challenges may be mitigated at design time by choosing certain architectural styles, implementing specific architectural patterns and using particular technologies. Leveraging on our experience in the MARIO project, in this paper we propose a series of principles that social robots may benefit from. These principles lay also the foundations for the design of a reference software architecture for Social Robots. The ultimate goal of this work is to establish a common ground based on a reference software architecture to allow to easily reuse robotic software components in order to rapidly develop, implement, and personalise Social Robots

Technological solutions for older people with Alzheimer’s disease : Review

Funding Information: The authors would like to acknowledge networking support from COST Action CA16226: Indoor living space improvement: Smart Habitat for the Elderly. COST (European Cooperation in Science and Technol-ogy) is a funding agency for research and innovation networks. Our Actions help connect research initiatives across Europe and enable scientists to grow their ideas by sharing them with their peers. This boosts their research, career and innovation. www.cost.eu. Furthermore, authors acknowledge the internal research project Excellence 2018, Faculty of Informatics and Management, University of Hradec Kralove, Czech Republic. Authors acknowledge the funding provided by FCT through the scholarship SFRH/BPD/115112/2016 (Joana Madureira) as well as to Solange Costa and João Paulo Teixeira, both from EPIUnit – Instituto de Saúde Pública da Universidade do Porto and National Institute of Heath, Environmental Health Department. Authors also acknowledge the funding from the University of Sts. Cyril and Methodius in Skopje, Faculty of Computer Science and Engineering. Publisher Copyright: © 2018 Bentham Science Publishers.In the nineties, numerous studies began to highlight the problem of the increasing number of people with Alzheimer’s disease in developed countries, especially in the context of demographic progress. At the same time, the 21st century is typical of the development of advanced technologies that penetrate all areas of human life. Digital devices, sensors, and intelligent applications are tools that can help seniors and allow better communication and control of their caregivers. The aim of the paper is to provide an up-to-date summary of the use of technological solutions for improving health and safety for people with Alzheimer’s disease. Firstly, the problems and needs of senior citizens with Alzheimer’s disease (AD) and their caregivers are specified. Secondly, a scoping review is performed regarding the technological solutions suggested to assist this specific group of patients. Works obtained from the following libraries are used in this scoping review: Web of Science, PubMed, Springer, ACM and IEEE Xplore. Four independent reviewers screened the identified records and selected relevant articles which were published in the period from 2007 to 2018. A total of 6,705 publications were selected. In all, 128 full papers were screened. Results obtained from the relevant studies were furthermore divided into the following categories according to the type and use of technologies: devices, processing, and activity recognition. The leading technological solution in the category of devices are wearables and ambient non-invasive sensors. The introduction and utilization of these technologies, however, bring about challenges in acceptability, durability, ease of use, communication, and power requirements. Furthermore, it needs to be pointed out that these technological solutions should be based on open standards.publishersversionPeer reviewe

Semantics-based platform for context-aware and personalized robot interaction in the internet of robotic things

Robots are moving from well-controlled lab environments to the real world, where an increasing number of environments has been transformed into smart sensorized IoT spaces. Users will expect these robots to adapt to their preferences and needs, and even more so for social robots that engage in personal interactions. In this paper, we present declarative ontological models and a middleware platform for building services that generate interaction tasks for social robots in smart IoT environments. The platform implements a modular, data-driven workflow that allows developers of interaction services to determine the appropriate time, content and style of human-robot interaction tasks by reasoning on semantically enriched loT sensor data. The platform also abstracts the complexities of scheduling, planning and execution of these tasks, and can automatically adjust parameters to the personal profile and current context. We present motivational scenarios in three environments: a smart home, a smart office and a smart nursing home, detail the interfaces and executional paths in our platform and present a proof-of-concept implementation. (C) 2018 Elsevier Inc. All rights reserved

Modélisation d'une interaction système-résident contextuelle, personnalisée et adaptative pour l'assistance cognitive à la réalisation des activités de la vie quotidienne dans les maisons connectées

Alors que le nombre de personnes vivant avec des déficits cognitifs qui découlent d’un traumatisme craniocérébral (TCC) va en croissant, les technologies d’assistance sont de plus en plus développées pour résoudre les problèmes qu’ils induisent dans la réalisation des activités de la vie quotidienne. L’Internet des objets et l’intelligence ambiante offrent un cadre pour fournir des services d’assistance sensibles au contexte, adaptatifs, autonomes et personnalisés pour ces personnes ayant des besoins particuliers. Une revue de la littérature sur le sujet permet de constater que les systèmes existants offrent très souvent une assistance excessive, quand l’aide contient plus d’information que nécessaire ou quand elle est fournie automatiquement à chaque étape de l’activité. Cette assistance, inadaptée aux besoins et aux capacités de la personne, est contraire à certains principes de la réadaptation cognitive qui prônent la fourniture d’une assistance minimale pour encourager la personne à agir au meilleur de ses capacités. Cette thèse propose des modèles pour automatiser l’assistance cognitive sous forme de dialogue contextuel entre une personne ayant des déficits cognitifs dus au TCC et un système lui fournissant l’assistance appropriée qui l’encourage à réaliser ses activités par lui-même. Les principales contributions sont : (1) un modèle ontologique comme support de l’assistance cognitive dans les maisons connectées ; (2) un modèle d’interaction entre l’agent intelligent d’une maison connectée et une personne ayant subi un TCC, dans le cadre de l’assistance cognitive. Le modèle ontologique proposé s’appuie sur les actes de langages et les données probantes de la réadaptation cognitive afin que l’assistance reflète la pratique clinique. Il vise à fournir aux maisons intelligentes la sémantique des données nécessaires pour caractériser les situations où il y a besoin d’assistance, les messages d’assistance de gradations différentes et les réactions de la personne. Informé par le modèle ontologique, le modèle d’interaction basé sur des arbres de comportement (« behaviour trees ») permet alors à un agent intelligent de planifier dynamiquement la diffusion de messages d’assistance progressifs avec des ajustements si nécessaire, en fonction du profil et du comportement du résident de la maison connectée lors de l’accomplissement de ses activités. Une validation préliminaire montre l’applicabilité des modèles dans l’implémentation de scénarios relatifs à l’utilisation sécuritaire d’une cuisinière connectée dédiée aux personnes ayant subi un TCC