scholarly journals Identifying research gaps: A review of virtual patient education and self-management

2021 ◽  
pp. 1-13
Author(s):  
Elke Brucker-Kley ◽  
Ulla Kleinberger ◽  
Thomas Keller ◽  
Jonas Christen ◽  
Anita Keller-Senn ◽  
...  
Keyword(s):  
Patient Education ◽  
Health Care Professionals ◽  
Research Agenda ◽  
Interdisciplinary Teams ◽  
New Paradigm ◽  
Human Machine Interaction ◽  
Intelligent Software ◽  
Communication Task ◽  
Intelligent Software Agents ◽  
Computer Scientists

BACKGROUND: Avatars in Virtual Reality (VR) can not only represent humans, but also embody intelligent software agents that communicate with humans, thus enabling a new paradigm of human-machine interaction. OBJECTIVE: The research agenda proposed in this paper by an interdisciplinary team is motivated by the premise that a conversation with a smart agent avatar in VR means more than giving a face and body to a chatbot. Using the concrete communication task of patient education, this research agenda is rather intended to explore which patterns and practices must be constructed visually, verbally, para- and nonverbally between humans and embodied machines in a counselling context so that humans can integrate counselling by an embodied VR smart agent into their thinking and acting in one way or another. METHODS: The scientific literature in different bibliographical databases was reviewed. A qualitative narrative approach was applied for analysis. RESULTS: A research agenda is proposed which investigates how recurring consultations of patients with healthcare professionals are currently conducted and how they could be conducted with an embodied smart agent in immersive VR. CONCLUSIONS: Interdisciplinary teams consisting of linguists, computer scientists, visual designers and health care professionals are required which need to go beyond a technology-centric solution design approach. Linguists’ insights from discourse analysis drive the explorative experiments to identify test and discover what capabilities and attributes the smart agent in VR must have, in order to communicate effectively with a human being.

scholarly journals AVANCES EN INTERACCIÓN HOMBRE – MÁQUINA

2019 ◽  
pp. 29-36
Keyword(s):  
Formal System ◽  
Knowledge Bases ◽  
Protective Mechanism ◽  
New Paradigm ◽  
Formal Systems ◽  
Intelligent Software ◽  
Intelligent Software Agents ◽  
Palabras Clave ◽  
Software Engineers ◽  
Machine Interaction

AVANCES EN INTERACCIÓN HOMBRE – MÁQUINA NEW ADVANCES IN MAN – MACHINE INTERACTION Fernando Ramírez - Icaza. Manuel Villavicencio 1331, Lima -14, Perú. DOI: https://doi.org/10.33017/RevECIPeru2010.0005/ RESUMEN En el presente artículo de investigación se pone énfasis en las diferentes formas de Interacción Hombre – Máquina, las cuales se masificarán, en un futuro no muy lejano, a través de Robots Físicos, Robots Virtuales, u órdenes procedentes del cerebro humano procesadas por electrodos capaces de captar la energía propia del proceso bioquímico entre las neuronas y por ende leer el pensamiento humano. Los robots durante la interacción Hombre – Máquina deben constantemente tomar decisiones para lo cual es importante tener en consideración en la construcción de las Bases de Conocimientos los siguientes pasos: análisis de la información, análisis de la representación de la información sobre la base de criterios taxonómicos, identificación de axiomas, sugerencia de mecanismo de protección de axiomas, sugerencia de mecanismo de inferencia, evaluación de Sistemas Formales, recomendación del Sistema Formal más conveniente y expresivo para la representación de cada uno de los axiomas, recomendación al equipo de Ingenieros de Software el mecanismo más idóneo para la incorporación de axiomas y reglas. Finalmente, se expone las conclusiones y reflexiones del autor sobre este nuevo paradigma de las Ciencias Computacionales. Palabras clave: Inteligencia Artificial, Interacción Hombre - Máquina, Robots, Bases de Conocimientos, Agentes Inteligentes de Software o Softbots, Verbots. ABSTRACT This article emphasizes research on different forms of interaction between man - machine, which will widely spread out in a not too distant future through physical robots, virtual robots, or orders issued by the human brain processed by electrodes capable of capturing the energy of the biochemical process between neurons and thus read human thought. Robots during Man – Machine interaction must constantly make decisions. Therefore, when building knowledge bases it is important to consider the following steps: analysis of data, analysis of the representation of information based on taxonomic criteria, identification of axioms, suggested protective mechanism of axioms, inference mechanism suggestion, evaluation of formal systems, recommendation of formal systems, recommendation of the most convenient and expressive formal system for the representation of each of the axioms, recommendation to the team of software engineers of the most appropriate mechanism for incorporating axioms & rules. Finally, it draws conclusions and reflections of the author on this new paradigm of Computer Sciences. Keywords: Artificial Intelligence, Interaction Man - Machine, Robots, Knowledge Bases, Intelligent Software Agents or Softbots, Verbots.

scholarly journals An Analysis of the Interaction Between Intelligent Software Agents and Human Users

2018 ◽  
Vol 28 (4) ◽  
pp. 735-774 ◽  
Author(s):  
Christopher Burr ◽  
Nello Cristianini ◽  
James Ladyman
Keyword(s):  
Software Agents ◽  
Intelligent Software ◽  
Intelligent Software Agents

The Importance of Pharmacist Providing Patient Education in Oncology

2014 ◽  
Vol 28 (1) ◽  
pp. 26-30 ◽  
Author(s):  
Mia Avery ◽  
Felecia Williams
Keyword(s):  
Patient Education ◽  
Cultural Values ◽  
Patient Outcomes ◽  
Health Care Professionals ◽  
Cultural Practices ◽  
Medical Profession ◽  
Team Approach ◽  
Education Outcomes ◽  
Medication Therapy ◽  
Values And Beliefs

The world’s increasing diversity requires health care professionals to adjust delivery methods of teaching to accommodate different cultural values and beliefs. The ability to communicate effectively across languages and various cultural practices directly affects patient education outcomes. Pharmacist should be aware of varying modalities and considerations when counseling a patient diagnosed with cancer and undergoing chemotherapy. In more recent years, the medical profession has seen an increase in patient outcomes due to using the multidisciplinary team approach and has benefited by implementing Medication Therapy Management (MTM) programs at various institutions. For the clinical pharmacist, this would mean documentation for these services should be precise and accurate based on the specific patients needs. There are several factors involved in the care and therapy of the patient with cancer. Clinical oncology pharmacist should be aware of the ever-changing role in oncology and be able to implement new practices at their facility for better patient outcomes.

A Research Agenda for Computational Thinking

2018 ◽  
pp. 65-77 ◽  
Author(s):  
Betul C. Czerkawski
Keyword(s):  
Computer Science ◽  
Science Teachers ◽  
Research Agenda ◽  
Computational Thinking ◽  
Future Research ◽  
Research Needs ◽  
Discussion Section ◽  
Computer Scientists ◽  
K 12 ◽  
Science Departments

It has been more than a decade since Jeanette Wing's (2006) influential article about computational thinking (CT) proposed CT to be a “fundamental skill for everyone” (p. 33) and that needs to be added to every child's knowledge and skill set like reading, writing and arithmetic. Wing suggested that CT is a universal skill, and not only for computer scientists. This call resonated with many educators leading to various initiatives by the International Society for Teacher in Education (ISTE) and Computer Science Teachers Association (CSTA) provided the groundwork to integrate CT into the K-12 curriculum. While CT is not a new concept and has been taught in computer science departments for decades, Wing's call created a shift towards educational computing and the need for integrating it into curriculum for all. Since 2006, many scholars have conducted empirical or qualitative research to study the what, how and why of CT. This chapter reviews the most current literature and identifies general research patterns, themes and directions for the future. The purpose of the chapter is to emphasize future research needs by cumulatively looking at what has been done to date in computational thinking research. Consequently, the conclusion and discussion section of the paper presents a research agenda for future.

scholarly journals A service improvement project exploring the extent of need for allied health care professionals within neuro-oncology in Velindre Cancer Centre.

2019 ◽  
Vol 21 (Supplement_4) ◽  
pp. iv9-iv9
Author(s):  
Rachel Evans ◽  
Hayley Williams ◽  
Lisa Love-Gould ◽  
Owen Tilsley ◽  
James Powell ◽  
...  
Keyword(s):  
Patient Education ◽  
Health Care Professionals ◽  
Service Improvement ◽  
Language Therapy ◽  
Support Worker ◽  
Improvement Project ◽  
Cancer Centre ◽  
Future Care ◽  
Limited Opportunity ◽  
Research And Education

Abstract Given the highly complex and holistic needs of neuro-oncology patients, gold standard guidelines recommend that support is best served by a coordinated multi-disciplinary team (MDT) to provide seamless care from diagnosis to end of life (NICE 2018). Allied Healthcare Professionals (AHPs) including occupational therapy (OT), physiotherapy (PT), speech and language therapy (SLT) and dietitians (DT) are recognised as key professions within the MDT. As there is no designated AHP team at Velindre Cancer Centre, input can be reactive and fragmented with limited opportunity for patient education or service developments. The aim of the project was to scope and evaluate the level of AHP need the neuro-oncology population attending Velindre Cancer Centre. A service improvement grant funded a Band 4 Therapies support worker to conduct the project. The project involved a number of elements including the implementation of a revised neuro-oncology screening tool, strategic effort to improve patient education and self-management and engaging patients and staff to guide future service developments. The mixed methods approach yielded rich quantitative and qualitative data. The results demonstrated that whilst AHP input was beneficial to patient care, significant unmet needs were highlighted and demands for services exceeded the teams’ capacity. Therefore a designated neuro-oncology therapies team should be a central consideration for future care to enable timely, responsive, equitable and seamless MDT working. Greater AHP resource would also enable greater AHP involvement in research and education to revolutionise care in order to fully meet the needs of this vulnerable and complex patient group.

scholarly journals A new paradigm for parent and patient education

2000 ◽  
Vol 5 (6) ◽  
pp. 329-331
Author(s):  
Don Buchanan
Keyword(s):  
Patient Education ◽  
New Paradigm

Intelligent Multi-Agent Systems

2009 ◽  
pp. 464-469
Author(s):  
Uros Krcadinac ◽  
Milan Stankovic ◽  
Vitomir Kovanovic ◽  
Jelena Jovanovic
Keyword(s):  
Autonomous Agents ◽  
Research Community ◽  
Object Oriented Programming ◽  
Multi Agent Systems ◽  
Autonomous Action ◽  
Agent Systems ◽  
Intelligent Software ◽  
Intelligent Software Agents ◽  
Object Based ◽  
Multi Agent

Since the AAAI (http://www.aaai.org) Spring Symposium in 1994, intelligent software agents and agentbased systems became one of the most significant and exciting areas of research and development (R&D) that inspired many scientific and commercial projects. In a nutshell, an agent is a computer program that is capable of performing a flexible, autonomous action in typically dynamic and unpredictable domains (Luck, McBurney, Shehory, & Willmott, 2005). Agents emerged as a response of the IT research community to the new data-processing requirements that traditional computing models and paradigms were increasingly incapable to deal with (e.g., the huge and ever-increasing quantities of available data). Agent-oriented R&D has its roots in different disciplines. Undoubtedly, the main contribution to the field of autonomous agents came from artificial intelligence (AI) which is focused on building intelligent artifacts; and if these artifacts sense and act in some environment, then they can be considered agents (Russell & Norvig, 1995). Also, object-oriented programming (Booch, 2004), concurrent object-based systems (Agha, Wegner, & Yonezawa, 1993), and human-computer interaction (Maes, 1994) are fields that have constantly driven forward the agent R&D in the last few decades.

Intelligent Software Agents Analysis in E-Commerce II

2009 ◽  
pp. 1452-1457
Author(s):  
Xin Luo ◽  
Somasheker Akkaladevi
Keyword(s):  
Parallel Processing ◽  
Cognitive Ability ◽  
Software Agents ◽  
Limited Resources ◽  
Information Complexity ◽  
Intelligent Software ◽  
Intelligent Software Agents ◽  
Processing Abilities ◽  
Search For Information

Cowan et al. (2002) argued that the human cognitive ability to search for information and to evaluate their usefulness is extremely limited in comparison to those of computers. In detail, it’s cumbersome and time-consuming for a person to search for information from limited resources and to evaluate the information’s usefulness. They further indicated that while people are able to perform several queries in parallel and are good at drawing parallels and analogies between pieces of information, advanced systems that embody ISA architecture are far more effective in terms of calculation power and parallel processing abilities, particularly in the quantities of material they can process (Cowan et al. 2002). According to Bradshaw (1997), information complexity will continue to increase dramatically in the coming decades. He further contended that the dynamic and distributed nature of both data and applications require that software not merely respond to requests for information but intelligently anticipate, adapt, and actively seek ways to support users.

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