Figure - available from: Intelligent Service Robotics
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The examples of virtual games and virtual activities of independent living for VR-based evaluation and user pre-training. a The game’s initial introduction. b The game scene and car motion control corresponding to simple gestures. c The main GUI, Home Page, for selecting the task object. d The subdivision GUI, Medicine, for selecting specific medicine types. Note that these GUIs were English-translated versions
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Driven by the shortage of qualified nurses and the increasing average age of the population, the ambient assisted living style using intelligent service robots and smart home systems has become an excellent choice to free up caregiver time and energy and provide users with a sense of independence. However, users’ unique environments and differences...
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This paper focuses on ambient assisted living (AAL) scenarios and proposes the use of location-based games (LBGs) as engaging applications for 1) the promotion of an active lifestyle of healthy senior adults (+65), and 2) the enhancement of current acceptance rates of technology used in these scenarios. It offers a high-level software architecture...
Citations
... Year Implication Number of Users Duration [15] 2023 deploy at home, unattended 25 10 weeks [72] 2023 experiments at nursing institution 10 2 days [73] 2022 survey 197 [45] 2022 capture data from bracelet 2 47/114 days [74] 2021 capture data from bracelet 4 15 days [66] 2020 deploy at home, unattended 20 5 days [75] 2019 survey 188 [38] 2017 demonstration and survey 18 [48] 2016 experiments at home 1 [55] 2015 experiments in laboratory 6 1 session [37] 2013 experiments at senior citizen homes 16 2 sessions [49] 2013 focus group 32 1 session [56] 2012 capture data in a controlled environment 20 (young) 20 min ...
The aging of the population in developed and developing countries, together with the degree of maturity reached by certain technologies, means that the design of care environments for the elderly with a high degree of technological innovation is now being seriously considered. Assistive environments for daily living (Ambient Assisted Living, AAL) include the deployment of sensors and certain actuators in the home or residence where the person to be cared for lives so that, with the help of the necessary computational management and decision-making mechanisms, the person can live a more autonomous life. Although the cost of implementing such technologies in the home is still high, they are becoming more affordable, and their use is, therefore, becoming more popular. At a time when some countries are finding it difficult to provide adequate care for their elderly, this option is seen as a help for carers and to avoid collapsing health care services. However, despite the undoubted potential of the services offered by these AAL systems, there are serious problems of acceptance today. In part, these problems arise from the design phase, which often does not sufficiently take into account the end users—older people but also carers. On the other hand, it is complex for these older people to interact with interfaces that are sometimes not very natural or intuitive. The use of a socially assistive robot (SAR) that serves as an interface to the AAL system and takes responsibility for the interaction with the person is a possible solution. The robot is a physical entity that can operate with a certain degree of autonomy and be able to bring features to the interaction with the person that, obviously, a tablet or smartphone will not be able to do. The robot can benefit from the recent popularization of artificial intelligence-based solutions to personalize its attention to the person and to provide services that were unimaginable just a few years ago. Their inclusion in an AAL ecosystem should, however, also be carefully assessed. The robot’s mission should not be to replace the person but to be a tool to facilitate the elderly person’s daily life. Its design should consider the AAL system in which it is integrated, the needs and preferences of the people with whom it will interact, and the services that, in conjunction with this system, the robot can offer. The aim of this article is to review the current state of the art in the integration of SARs into the AAL ecosystem and to determine whether an initial phase of high expectations but very limited results have been overcome.
... The interaction between humans and robots often involves collaboration, aiming to combine the best humans and robots skills to enhance productivity, efficiency, and versatility across numerous applications. These applications range from manufacturing [1] and logistics [2] to healthcare [3] and domestic assistance [4]. For the collaboration to be successful, the robot should be able to perceive the environment, and plan and act to accommodate human needs and objectives. ...
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