Sociorobot World

Tzafestas, Spyros G.

doi:10.1007/978-3-319-21422-1

Cited by 10 publications

(2 citation statements)

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“…In order to robots be able to perform their tasks efficiently, it is necessary that robots possess not only mechanical abilities, but also good social interaction with humans. 23 Facial recognition is one of the essential points in HRI for a social robot to recognize people. 24 A facial recognition system is a biometric system 25 that aims to identify faces present in an image or video automatically.…”

Section: Assistive Social Roboticsmentioning

confidence: 99%

Robotics services at home support

Crisóstomo

Ferreira

Filipe

2020

International Journal of Advanced Robotic Systems

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This article proposes a robotic system that aims to support the elderly, to comply with the medication regimen to which they are subject. The robot uses its locomotion system to move to the elderly and through computer vision detects the packaging of the medicine and identifies the person who should take it at the correct time. For the accomplishment of the task, an application was developed supported by a database with information about the elderly, the medicines that they have prescribed and the respective timetable of taking. The experimental work was done with the robot NAO, using development tools like MySQL, Python, and OpenCV. The elderly facial identification and the detection of medicine packing are performed through computer vision algorithms that process the images acquired by the robot’s camera. Experiments were carried out to evaluate the performance of object recognition, facial detection, and facial recognition algorithms, using public databases. The tests made it possible to obtain qualitative metrics about the algorithms’ performance. A proof of concept experiment was conducted in a simple scenario that recreates the environment of a dwelling with seniors who are assisted by the robot in the taking of medicines.

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Section: Assistive Social Roboticsmentioning

confidence: 99%

Robotics services at home support

Crisóstomo

Ferreira

Filipe

2020

International Journal of Advanced Robotic Systems

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“…They are artificial intelligence systems engineered to establish social relationships with humans, being able to relate to them and to engage them with mental activities. They are provided with at least three basic skills: they can focus their attention on the human, creating a bond with the user; they can display social behavior; and they can interact with the environment [ 9 ]. Social robots can be further categorized as elder care robots, intended to assist older people; sociable robots that show particularly remarkable interaction skills that enable them to establish strong emotional relationships with humans; and entertainment robots, specifically designed to represent a source of amusement for the user.…”

Section: Introductionmentioning

confidence: 99%

The Increasing Centrality of Robotic Technology in the Context of Nursing Care: Bioethical Implications Analyzed through a Scoping Review Approach

Gibelli

Ricci

Sirignano

et al. 2021

Journal of Healthcare Engineering

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At the dawn of the fourth industrial revolution, the healthcare industry is experiencing a momentous shift in the direction of increasingly pervasive technologization of care. If, up until the 2000s, imagining healthcare provided by robots was a purely futuristic fantasy, today, such a scenario is in fact a concrete reality, especially in some countries, such as Japan, where nursing care is largely delivered by assistive and social robots in both public and private healthcare settings, as well as in home care. This revolution in the context of care, already underway in many countries and destined to take place soon on a global scale, raises obvious ethical issues, related primarily to the progressive dehumanization of healthcare, a process which, moreover, has undergone an important acceleration following the outbreak of the COVID-19 pandemic, which has made it necessary to devise new systems to deliver healthcare services while minimizing interhuman contact. According to leading industry experts, nurses will be the primary users of healthcare robots in the short term. The aim of this study is to provide a general overview, through a scoping review approach, of the most relevant ethical issues that have emerged in the nursing care field in relation to the increasingly decisive role that service robots play in the provision of care. Specifically, through the adoption of the population-concept-context framework, we formulated this broad question: what are the most relevant ethical issues directly impacting clinical practice that arise in nursing care delivered by assistive and social robots? We conducted the review according to the five-step methodology outlined by Arksey and O’Malley. The first two steps, formulating the main research question and carrying out the literature search, were performed based on the population-context-concept (PCC) framework suggested by the Joanna Briggs Institute. Starting from an initial quota of 2,328 scientific papers, we performed an initial screening through a computer system by eliminating duplicated and non-English language articles. The next step consisted of selection based on a reading of the titles and abstracts, adopting four precise exclusion criteria: articles related to a nonnursing environment, articles dealing with bioethical aspects in a marginal way, articles related to technological devices other than robots, and articles that did not treat the dynamics of human-robot relationships in depth. Of the 2,328 titles and abstracts screened, we included 14. The results of the 14 papers revealed the existence of nonnegligible difficulties in the integration of robotic systems within nursing, leading to a lively search for new theoretical ethical frameworks, in which robots can find a place; concurrent with this exploration are the frantic attempts to identify the best ethical design system applicable to robots who work alongside nurses in hospital wards. In the final part of the paper, we also proposed considerations about the Italian nursing context and the legal implications of nursing care provided by robots in light of the Italian legislative panorama. Regarding future perspectives, this paper offers insights regarding robot engagement strategies within nursing.

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