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Schematic diagram of human-computer interaction.

Schematic diagram of human-computer interaction.

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Article
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With the increasingly severe aging of the population, the difficult and expensive medical treatment problems are becoming more and more prominent; the salary level of domestic doctors is not high, but the cost of training doctors is high, coupled with doctors’ work pressure and mental pressure; the number of candidates for medical school is decreas...

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... The dynamic information embedded in neural signals linked to different cognitive functions can be decoded by these models, which are excellent at capturing temporal dependencies and sequential patterns [6]. Learning more about neural-device interaction is important not only for academics and researchers, but also for a wide range of applications in human-computer interaction, rehabilitation, and healthcare [7]. More innovative assistive technologies, tailored therapeutic interventions, and more successful neuroprosthetics can all be made possible by improved neural-device interfaces [8]. ...
... Policy inconsistencies and regulatory uncertainties further complicate the situation. The energy policies in Nigeria have been described as inconsistent and ambiguous, causing uncertainty for investors and other stakeholders 9 . Regulatory challenges include the need for enforcement of existing regulations, corruption, and the absence of comprehensive and coherent energy policies and planning [9]. ...
... The energy policies in Nigeria have been described as inconsistent and ambiguous, causing uncertainty for investors and other stakeholders 9 . Regulatory challenges include the need for enforcement of existing regulations, corruption, and the absence of comprehensive and coherent energy policies and planning [9]. ...
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The energy sector constitutes an important contributor to the growth and development of the Nigerian economy. Despite Nigeria's abundant energy resources, the sector faces multiple challenges, such as infrastructural deficits, policy inconsistencies, regulatory uncertainties, and overreliance on non-renewable energy sources. Industry 4.0 technologies and Human-Computer Interaction (HCI) present opportunities that address the challenges of the energy sector in Nigeria. This research explores the impact of HCI in the adoption of technologies of 4IR (Artificial Intelligence, the Internet of Things, Big Data, and Cloud Computing), in Nigeria's energy sector. The research assesses the current level of implementation of Industry 4.0, requirements for the implementation of Industry 4.0 technology, demand, and skills for HCI in the implementation of 4IR technology in Nigeria's energy generation sub-sector. This study adopted a comprehensive and critical systematic review of existing literature on the subject matter. The findings reveal the level of 4IR implementation in its infancy, with some energy companies and start-ups beginning to integrate digital technologies to enhance their operations and services. The study further revealed the potential of HCI in facilitating the integration and social acceptance of 4IR technologies and identified significant skills demand for HCI, such as digital literacy, data analysis, critical thinking, problem-solving, and system thinking to facilitate the adoption of 4IR. The research concludes that the development of HCI skills in the adoption of 4IR presents a great opportunity to transform the energy sector in Nigeria. The research recommends policy formulation, to embrace Industry 4.0 and multifaceted process development of HCI skills for the application of 4IR in the energy sector.
... As evaluation indicator selection was based on user objective satisfaction, teaching content, effectiveness of HCI design. As a result, a framework was designed and tests and statistics were conducted (Li & Xu, 2022). ...
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Human Computer Interaction (HCI) is the study of human, computers and their interactions. It describes information exchanged through a variety of symbols and behaviours during two-way communication between humans and computers. In Cardiology, HCI plays an important role while designing interface of cardiac patient monitoring systems. Good user experience and comfortable human-computer interaction have steadily gained attention from users and designers. Poorly designed user interface can create dissatisfaction for physicians. In order to achieve the success of the underlying systems, numerous approaches could prove useful in avoiding these interaction difficulties. This study provides comprehensive study on enhancement of Cardiac Patient Monitoring systems layout, and highlights problems faced by doctors and other medical professionals and offers solutions for redesigning these systems' designs. Poor human factors design is considered the root cause of problems. Adopting HCI techniques presents a number of challenges that require in-depth research in order to be overcome. This study suggests usability and heuristic evaluation methods to aid researchers in improving the usability and efficacy of cardiac patient monitoring systems. Heuristic evaluation is one of these methods used after system usability has been assessed through questionnaire analysis. By adopting this technique HCI researchers will able to bring innovation in designing layout of these devices for Clinicians.
... Tis article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. Tis investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process: ...
... Quality, safety and usability may be considered by adding human intelligence into the model. [19] To consider the design of HCI in the field of research and to improve the healthcare system. ...
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INTRODUCTION: Human computer interaction (HCI) interprets the design model and the uses of computer technology which focuses on the interface between the user and the computer. HCI is a very important factor in the design of software-oriented decision-making ideas in health-care organizations and also it assists in accurate detection of image, disease including safety of the patients. OBJECTIVES: There are some pitfalls arises over some previous works on cloud based HCI applications. For that reason, to masafety, patient’s safety we wanted to work on explainable artificial intelligence (x-AI) and human intelligence in conjunction with HCI in various fields and algorithms to pro-vide transparency to the user. This may also use some web-based technologies and digital platforms with HCI for development of quality, safety and usability of the patients. METHODS: The purpose of this study about the communication between the HCI design and healthcare system through client and apply that method to the information system of Healthcare department to analyse the functions, effects and outcomes. RESULTS: The integration of explainable artificial intelligence (x-AI) and human intelligence with Human-Computer Interaction (HCI) demonstrated promising potential in enhancing patient safety and optimizing healthcare processes. CONCLUSION: By leveraging web-based technologies and digital platforms, this study established a framework for improving the quality, safety, and usability of healthcare services through effective communication between HCI design and healthcare systems.
... Most athletes participate in multiple sports through HCI, which appears beneficial for studying sports psychology. Li and Xu (2022) investigated that HCI has significant impacts on improving humans' life, innovation in sports psychology, and many other fields of life. Therefore, it has become a need to develop the modern world. ...
Article
This study's major objective is to examine the impact of human-computer interaction on innovation and sports psychology. This research study utilized questions linked to independent and dependent variables based on primary data analysis to assess the research. This research study on human-computer interaction conducted in China also discusses innovation and sports psychology. Human-computer interaction is the primary independent variable; it encompasses computer science, cognitive science, and human factor engineering, all regarded as independent variables. Innovation and sports psychology are viewed as dependent factors. This research is based on original data from assessing the outcome with intelligent PLS software and generating useful results. The correlation, R-square, F-square values, and weighted average analysis illustrate the intelligent PLS Algorithm model. The overall findings indicate that human-computer interaction has a favorable and significant effect on innovation and sports psychology. Computer science has direct effects on sports psychology as well. Cognitive science has a close relationship with innovation and sports psychology.
Chapter
Human-Computer interaction (HCI) is a domain that focuses on growing the interaction between humans and computer systems by designing and developing user interfaces that are efficient and delightful to use. In this chapter, the authors focus on the importance of deep human-computer interaction on new applications with an emphasis on using ChatGPT applications in the health services domain. This chapter provides full details on the importance of executing ChatGPT in various health-related scenarios while highlighting the importance of HCI to enhance user interactions in personalized medical advice in a ChatGPT application. This chapter concludes that the capabilities of ChatGPT and artificial intelligence applications can revolutionize the healthcare industry by enhancing the accessibility and effectiveness of new media communications between the user and applications while creating innovative resolutions to improve healthcare services.