scholarly journals CASIE – Computing affect and social intelligence for healthcare in an ethical and trustworthy manner

2021 ◽  
Vol 12 (1) ◽  
pp. 437-453
Author(s):  
Laurentiu Vasiliu ◽  
Keith Cortis ◽  
Ross McDermott ◽  
Aphra Kerr ◽  
Arne Peters ◽  
...  
Keyword(s):  
Decision Making ◽  
Social Intelligence ◽  
Human Robot Interaction ◽  
Local Context ◽  
Motivational States ◽  
Wide Range ◽  
Language And Vision ◽  
Multimodal Emotion Recognition ◽  
Research Challenge

Abstract This article explores the rapidly advancing innovation to endow robots with social intelligence capabilities in the form of multilingual and multimodal emotion recognition, and emotion-aware decision-making capabilities, for contextually appropriate robot behaviours and cooperative social human–robot interaction for the healthcare domain. The objective is to enable robots to become trustworthy and versatile social robots capable of having human-friendly and human assistive interactions, utilised to better assist human users’ needs by enabling the robot to sense, adapt, and respond appropriately to their requirements while taking into consideration their wider affective, motivational states, and behaviour. We propose an innovative approach to the difficult research challenge of endowing robots with social intelligence capabilities for human assistive interactions, going beyond the conventional robotic sense-think-act loop. We propose an architecture that addresses a wide range of social cooperation skills and features required for real human–robot social interaction, which includes language and vision analysis, dynamic emotional analysis (long-term affect and mood), semantic mapping to improve the robot’s knowledge of the local context, situational knowledge representation, and emotion-aware decision-making. Fundamental to this architecture is a normative ethical and social framework adapted to the specific challenges of robots engaging with caregivers and care-receivers.

The Rationale for a Well-Being Approach

2020 ◽  
pp. 13-24
Keyword(s):  
Decision Making ◽  
Resource Allocation ◽  
Environmental Sustainability ◽  
Well Being ◽  
Local Context ◽  
Structural Barriers ◽  
Truth Telling ◽  
Key Points ◽  
Social Narrative

This chapter presents the rationale for a well-being approach. A well-being approach—that is, establishing well-being as the goal and measure of what matters in order to create a future in which people, communities, and the planet can all thrive—provides a new compass for decision-making, resource allocation, social narrative, and even consciousness. The chapter highlights the benefits, positive outcomes, and potential for transformation via a well-being approach. Some of the key points include the ability of a well-being approach to: shift the focus to things that matter most to people and communities; create more urgency to address inequities and shift power; break down structural barriers and “silos” to encourage cross-sector collaboration; link human well-being and environmental sustainability; create a new expectation, demand, and accountability for a well-being agenda; and focus on the future through long-term agendas and inter-generational leadership. Meanwhile, key among the enabling conditions for well-being in the local context are truth telling about history and experiences, and ensuring that benefits are equitably shared.

scholarly journals Coordination mechanism for integrated design of Human-Robot Interaction scenarios

2017 ◽  
Vol 8 (1) ◽  
pp. 100-111 ◽  
Author(s):  
François Ferland ◽  
Aurélien Reveleau ◽  
Francis Leconte ◽  
Dominic Létourneau ◽  
François Michaud
Keyword(s):  
Microphone Array ◽  
Natural Extension ◽  
Integrated Design ◽  
Human Robot Interaction ◽  
Coordination Mechanism ◽  
Robot Interaction ◽  
Wide Range ◽  
Compliant Actuators ◽  
Tour Guiding

Abstract The ultimate long-term goal in Human-Robot Interaction (HRI) is to design robots that can act as a natural extension to humans. This requires the design of robot control architectures to provide structure for the integration of the necessary components into HRI. This paper describes how HBBA, a Hybrid Behavior-Based Architecture, can be used as a unifying framework for integrated design of HRI scenarios. More specifically, we focus here on HBBA’s generic coordination mechanism of behavior-producing modules, which allows to address a wide range or cognitive capabilities ranging from assisted teleoperation to selective attention and episodic memory. Using IRL-1, a humanoid robot equipped with compliant actuators for motion and manipulation, proximity sensors, cameras and a microphone array, three interaction scenarios are implemented: multi-modal teleoperation with physical guidance interaction, fetching-and delivering and tour-guiding.

Emotional and Social Intelligence as ‘Magic Key’ in Innovation: A Designer’s call toward inclusivity for all

2018 ◽  
Vol 6 (2) ◽  
pp. 6-12
Author(s):  
Joern Henning Buehring ◽  
Patricia Moore
Keyword(s):  
Decision Making ◽  
Risk Taking ◽  
Social Intelligence ◽  
Business Models ◽  
Strategic Decision ◽  
Social Awareness ◽  
Strategic Decision Making ◽  
Term Survival ◽  
Strategic Role

This paper draws attention to the emotional and social intelligence of individuals - encompassing self- and social awareness, empathy and social skills; when applied to innovation, it can boost employee creativity, diversity, risk taking, learning, adapting, and strategic decision making which is deemed as critical in meeting the challenges of the 21stCentury. Meanwhile, Design in business and innovation have become increasingly synonymous in both meaning (e.g. design and futures thinking) and reach (e.g. products, services, business models, and systems), placing renewed focus on creative human capital as the organizations’ greatest asset. Expanding the conversation of Design in business as a strategic role to develop user-centered innovations through ‘inclusivity for all’, it is proposed that an organization’s emotional and social intelligence may well bear the 'magic key' toward competitive resilience and long-term survival.

scholarly journals FRESHER and RARE 2030: scanning the horizon emerging trends in health and healthcare

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
G Giuffre ◽  
L G Sisti ◽  
A Ricci
Keyword(s):  
Decision Making ◽  
Rare Diseases ◽  
Policy Development ◽  
Participatory Approach ◽  
Policy Dialogue ◽  
Emerging Trends ◽  
Horizon Scanning ◽  
Wide Range ◽  
The Future

Abstract Background Health and healthcare are facing novel challenges ranging from broad, shifting trends to emerging innovative technologies and social practices. Foresight methodology aims to analyse emerging trends, building different future scenarios and identifying policy options to support the policy dialogue. Methods FRESHER and RARE 2030 are two EU-H2020 projects. FRESHER- FoRESight for hEalth policy development and Regulation (2016-2018) aimed at representing long term alternative health Scenarios testing future policies to tackle the burden of Non-Communicable Diseases. A micro-simulation model, specifically enhanced by the project, also computed the health outcomes of the different four Scenarios. Rare 2030-Foresight in Rare Diseases Policy (2019-2020) uses a participatory approach to identify the most relevant trends, anticipate their influence over the next decade and propose policy recommendations that could lead to a better future for people living with Rare Diseases. Different in scope, these projects share common features. Both follow a four steps foresight methodology: horizon scanning, trends identification and ranking, scenarios building, back-casting and policy elaboration. Taking a participatory approach, these studies apply structured qualitative tools, involve a wide range of stakeholders and include regional case studies. Results 20 trends emerged as key for the future of health and healthcare, among them: demographic change, rise of inequality, urbanisation, climate change and low carbon development, innovation in medicine, citizens empowerment and the potential for big data and Artificial Intelligence application. Conclusions The 20 trends analysed offering a litmus test for future proofing current health and healthcare policies. Foresight has proven to be a valid methodology to gather collective intelligence for identifying emerging trends and scenarios, evaluating risks and opportunities, setting long term goals and helping the decision making in health. Key messages To promote a transition toward better health policies, it is crucial supporting the collaborative attitude and ensuring a greater involvement of citizens and patients in the decision making. The importance and unpredictability recognized to the equity trend in both projects reveals the need for urgent actions to ensure the future access to better health and care to all European citizens.

Issues of Capacity and Decision-Making in the Context of Delirium

2015 ◽  
Vol 24 (4) ◽  
pp. 140-145
Author(s):  
Kevin R. Patterson
Keyword(s):  
Decision Making ◽  
Patient Autonomy ◽  
Care Setting ◽  
Cognitive Change ◽  
Treatment Team ◽  
Precipitating Factors ◽  
Term Care ◽  
Decision Making Capacity ◽  
Fundamental Consideration

Decision-making capacity is a fundamental consideration in working with patients in a clinical setting. One of the most common conditions affecting decision-making capacity in patients in the inpatient or long-term care setting is a form of acute, transient cognitive change known as delirium. A thorough understanding of delirium — how it can present, its predisposing and precipitating factors, and how it can be managed — will improve a speech-language pathologist's (SLPs) ability to make treatment recommendations, and to advise the treatment team on issues related to communication and patient autonomy.

Modern prevention and active longevity programs on the basis of disruptive domestic technologies: positive experience and prospects for application

2020 ◽  
pp. 66-73
Author(s):  
A. Simonova ◽  
S. Chudakov ◽  
R. Gorenkov ◽  
V. Egorov ◽  
A. Gostry ◽  
...  
Keyword(s):  
Personalized Medicine ◽  
Early Detection ◽  
Laboratory Diagnostics ◽  
Positive Experience ◽  
Practical Application ◽  
Wide Range ◽  
Integrated Program ◽  
Long Term Experience ◽  
Early Detection And Prevention

The article summarizes the long-term experience of practical application of domestic breakthrough technologies of preventive personalized medicine for laboratory diagnostics of a wide range of socially significant non-infectious diseases. Conceptual approaches to the formation of an integrated program for early detection and prevention of civilization diseases based on these technologies are given. A vision of the prospects for the development of this area in domestic and foreign medicine has been formed.

To the 70th anniversary of World Meteorological Organization. Scientific and technical cooperation of Hydrometeorological Center of the USSR/Russia in the Programs of World Meteorological Organization

2020 ◽  
pp. 117-138
Author(s):  
S.V. Borshch ◽  
◽  
R.M. Vil’fand ◽  
D.B. Kiktev ◽  
V.M. Khan ◽  
...  
Keyword(s):  
Environmental Monitoring ◽  
High Efficiency ◽  
World Meteorological Organization ◽  
70Th Anniversary ◽  
Technical Level ◽  
Technical Cooperation ◽  
Wide Range

The paper presents the summary and results of long-term and multi-faceted experience of international scientific and technical cooperation of Hydrometeorological Center of Russia in the field of hydrometeorology and environmental monitoring within the framework of WMO programs, which indicates its high efficiency in performing a wide range of works at a high scientific and technical level. Keywords: World Meteorological Organization, major WMO programs, representatives of Hydrometeorological Center of Russia in WMO

Research on the Economic Organization Environmental Impact

2017 ◽  
Vol 68 (3) ◽  
pp. 599-601
Author(s):  
Dan Paul Stefanescu ◽  
Oana Roxana Chivu ◽  
Claudiu Babis ◽  
Augustin Semenescu ◽  
Alina Gligor
Keyword(s):  
Economic Activity ◽  
Economic Organization ◽  
Economic Activities ◽  
Environmental Implications ◽  
Minimal Impact ◽  
Wide Range ◽  
Material Environment ◽  
Negative Effect ◽  
Harmful Effects

Any economic activity carried out by an organization, can generate a wide range of environmental implications. Particularly important, must be considered the activities that have a significant negative effect on the environment, meaning those which pollute. Being known the harmful effects of pollution on the human health, the paper presents two models of utmost importance, one of the material environment-economy interactions balance and the other of the material flows between environmental factors and socio-economic activities. The study of these models enable specific conditions that must be satisfied for the economic processes friendly coexist to the environment for long term, meaning to have a minimal impact in that the residues resulting from the economic activity of the organization to be as less harmful to the environment.

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