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Human Consumption of Digital Synthetic Outputs: Cross Checking Real or Fake Information
AI-Generated content, deepfakes and synthetic media, people are increasingly wondering how they can discern the difference between genuine and fake. People may become confused, change their minds, and make unwise decisions that put their safety at danger when they see false information and manipulated pictures and videos, such AI-generated deepfakes. AI detection techniques, and teaching people how to read and write have all helped with these difficulties. Blockchain technology analyzes the digital history of anything to make sure it is authentic. Two significant steps toward making things more open are regulatory frameworks and ethical AI practices. Users should be vigilant and examine a lot of trustworthy sources, including reverse image search or deepfake detectors. The influence of incorrect information will be lessened if individuals are more informed and encouraged to utilize internet resources properly. To use another metaphor, let's make sure that people know what they're talking about when we speak about synthetic things. 2026, IGI Global Scientific Publishing. All rights reserved. -
Human factors and social engineering in IoT attacks
This chapter explores how social engineering and human factors contribute to IoT assaults, emphasizing how human mistake and psychological manipulation weaken linked systems. Cybercriminals are increasingly using social engineering techniques to trick people into disclosing private information or jeopardizing security measures as IoT devices become more and more integrated into everyday life and vital infrastructure. This study examines important strategies like baiting, pretexting, and phishing, highlighting their unique uses in Internet of Things settings. It also looks into how human behavior affects security procedures, showing how dangers are increased by insufficient awareness and training. The chapter offers important insights into how human factors and IoT security interact by examining current case studies and actual attack scenarios. It ends with tactical suggestions for enhancing security awareness, fortifying authentication procedures, and putting in place efficient defenses against social engineering risks in IoT ecosystems. Future research should focus on developing AI-driven security measures, flexible defense strategies, and strong policy frameworks to strengthen IoT security. Tackling these human-related vulnerabilities is essential to building a safer and more reliable IoT ecosystem. 2026 Elsevier Inc. All rights reserved.. -
Human gut microbiota and regulation of human behavior
The human body is often referred to as a microbiome, embodying a multitude of microbes. Specifically, the gut microbiome constitutes a cluster of bacteria within the gastrointestinal (GI) system. In both healthy individuals and those facing health issues, these bacteria significantly impact human physiology. They form an integral part of the unconscious system that exerts influence over human behavior. Globally, researchers are actively investigating the components of a good gut microbiome to enhance our comprehension of the role gut microorganisms play in health and disease. The gut harbors a diverse array of bacteria, encompassing both hazardous and beneficial types. Furthermore, studies on specific health-improving parasitic species are yielding biological insights that may propel the development of novel drugs. The gut microbiome directly impacts an individual's health by secreting physiologically active compounds like vitamins, essential amino acids, and lipids. Moreover, it indirectly influences the immune system and metabolic functions, thereby affecting moods and cognitive functions. Recognition of the role played by gut microbiota extends to various diseases and disorders. Evidence demonstrates significant interactions between the microbiome and certain drugs, profoundly shaping their intended effects. The interplay between the immune system, gut microbiota, and psychiatric disorders such as eating disorders, as well as conditions like cancer, autoimmune diseases, and autism spectrum disorder, is increasingly evident through ongoing research. This is unsurprising given the pivotal roles played by daily caloric intake, eating habits, and food composition in regulating various biological systems. Recent research sheds light on the intricate gut-brain axis (GBA), a two-way communication system where the gut receives signals from the brain, and vice versa. Microbes in the GI tract produce neurotransmitters that influence crucial functions like learning, memory, attention, and emotions. Even a slight change in the gut microbiome can lead to inflammatory reactions, connecting to the hypothalamic-pituitary-adrenal (HPA) axis and influencing human behavior. Under stressed conditions, changes in the gut microbiome can harm helpful bacteria, reduce the variety of bacteria in our gut, and allow harmful bacteria to grow. This makes us more likely to get sick and causes inflammation in our gut. Some studies even suggest that chemicals produced by the gut during an infection can affect our brain, making us more prone to feeling anxious or depressed. Knowing that our gut microbiome influences our behavior, it's essential to pay attention to what we eat, avoid drugs that harm our gut bacteria, and consider taking probiotic supplements in our diet. 2025 Elsevier Inc. All rights reserved. -
Human heart disease prediction system using data mining techniques
Nowadays, health disease are increasing day by day due to life style, hereditary. Especially, heart disease has become more common these days, i.e. life of people is at risk. Each individual has different values for Blood pressure, cholesterol and pulse rate. But according to medically proven results the normal values of Blood pressure is 120/90, cholesterol is and pulse rate is 72. This paper gives the survey about different classification techniques used for predicting the risk level of each person based on age, gender, Blood pressure, cholesterol, pulse rate. The patient risk level is classified using datamining classification techniques such as Nae Bayes, KNN, Decision Tree Algorithm, Neural Network. etc., Accuracy of the risk level is high when using more number of attributes. 2016 IEEE. -
Human Resource (HR) Analytics and Its Modus OperandiAn Explorative Study
People management immensely benefited from predictive HR analytics that provide deeper insight into employee data for effective decision-making. HR analytics has contributed to formulating and implementing data-driven strategies across various industries and organizations. The main objective of this conceptual paper is to explain the concept of HR analytics and describe its modus operandi. We reviewed the literature on various facets of HR analytics from 2016 to 2024. We have explained the modus operandi of HR analytics through the key aspects of strategic HRM. This paper is significant because HR analytics is evolving as a more technical discipline with modern technologies such as machine learning and artificial intelligence. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Human resource aiding system by handling numerous data /
Patent Number: 202241004856, Applicant: Manabhanjan Sahu.
Human resource aiding system by handling numerous data Abstract: Numerous businesses have implemented human resource information systems over the last decade due to their ability to reduce costs, accelerate the flow of information, and assist human resource managers in making sound decisions. Human resource information systems can assist employees in improving their performance at work. In recent years, human resource information systems have developed into a highly effective tool. -
Human resource aiding system by handling numerous data /
Patent Number: 202241004856, Applicant: Manabhanjan Sahu.
Human resource aiding system by handling numerous data Abstract: Numerous businesses have implemented human resource information systems over the last decade due to their ability to reduce costs, accelerate the flow of information, and assist human resource managers in making sound decisions. Human resource information systems can assist employees in improving their performance at work. In recent years, human resource information systems have developed into a highly effective tool. -
Human Resource Development and Economic Growth: Leveraging India's Youthful Population
This empirical investigation employs a multivariate time series framework utilizing the Vector Error Correction Model (VECM) to unravel the intricate long- run equilibrium and short- run dynamics among GDP, youth population, and youth literacy in India for the time- period 1990 to 2024, revealing through Johansen cointegration test the existence of two statistically significant cointegrating vectors, with normalized equations underscoring the pivotal elasticity- driven relationships between economic growth and demographic- literacy indicators, while adjustment coefficients demonstrate the system's endogenous correction mechanism toward long- run equilibrium, and the impulse response and variance decomposition analyses substantiate the dominance of literacy shocks in driving GDP variability over extended horizons, thereby yielding profound macroeconomic implications for policy formulation directed at enhancing human capital and ensuring sustainable. 2026 by IGI Global Scientific Publishing. All rights reserved. -
Human Resource Development Climate and its Impact on Stress Among Teachers in Unaided Education Institutions in Bangalore
Global Journal of Finance & Management, Vol-4 (4), ISSN-0975-6477 -
Human Resource Management in Digital India
The business entities of today are aware of the vital role played by technological interventions in value creation. HR technological interventions are no exceptions either. These interventions are aligned to business goals and help businesses achieve their bottom lines. Nevertheless, some business owners are apprehensive about the way forward while adopting technology. This chapter focuses on the various technologies that aid HR functions, its implementation framework keeping in perspective the key apprehensions, considerations and competency requirements. The chapter highlights few Indian organizations that have adopted it. The findings show that emphasis is laid on business value creation for stakeholders due to HR technology adoption. 2023 by World Scientific Publishing Co. Pte. Ltd. All right reserved. -
Human Resource Management in the Power Industry Using Fuzzy Data Mining Algorithm
Currently, database and information technology's frontier study area is data mining. It is acknowledged as one of the essential technologies with the greatest potential. Numerous technologies with a comparatively high level of technical substance are used in data mining, including artificial intelligence, neural networks, fuzzy theory, and mathematical statistics. The realization is challenging as well. Job satisfaction is one of several factors that cause employees to leave or switch jobs, and it is also closely tied to the organization's human resource management (HRM) procedures. It is continuously difficult and at times beyond the HR office's control to keep their profoundly qualified and talented specialists, yet data mining can assume a part in recognizing those labourers who are probably going to leave an association, permitting the HR division to plan a mediation methodology or search for options. We have analysed the major thoughts, techniques, and calculations of affiliation rule mining innovation in this article. They effectively finished affiliation broadcasting, acknowledged perception, and eventually revealed valuable data when they were coordinated into the human resource management arrangement of schools and colleges. 2023 IEEE. -
Human rights and religion : Perspectives and retrospectives /
Asian Journal Of Research In Social Science & Humanities, Vol.6, Issue 1, pp.80-89, ISSN: 2249-7315. -
Human Voices and Algorithmic Echoes: Resignifying Transfeminine Experiences Through Hybrid Poetics Framework
Advances in generative artificial intelligence (AI) are reshaping cultural production, yet questions remain about whether machine-authored texts can authentically represent marginalized lives. This study examines the capacity of OpenAIs GPT-4o to represent the lived experiences of transfeminine individuals using a three-phase Hybrid Poetics Framework (HPF). Ten transfeminine participants were recruited through purposive maximum variation sampling. Semi-structured interviews and a participatory focus group (FGD-1) informed the creation of both human-generated poems (HGPs) and AI-generated poems (GPT-4o poems). In the reception phase, participants completed an authorship discrimination task and poetic quality ratings, followed by a structured poetry-reflection focus group (FGD-2). Results show that participants identified authorship above chance and rated HGPs higher for Emotional Quality, Atmosphere, and Structural Quality, while AI poems were praised for polish but perceived as emotionally distant. By contrast, creativity showed overlap across conditions.Findings foreground authenticity, affective fidelity, and ethical risks in AI-mediated representation. We propose bounded legibility and community co-governance as safeguards and introduce the Hybrid Poetics Framework (HPF) as a methodological approach for operationalizing participatory evaluation in Human Computer Interaction (HCI). 2026 The Author(s). Published with license by Taylor & Francis Group, LLC. -
Human-AI collaborative intelligence: Ethical and legal considerations
The present globe benefits from the unprecedented growth of science and technology. The invention of Artificial Intelligence (AI) has opened a vast horizon of possibilities, choices, and capabilities for humans and society. AI-powered human-like systems provide substantial interaction and collaboration for better results in many fields. The speed, efficiency, and effectiveness of AI systems prompted almost all sectors, like healthcare, education, transport, and communication to invest in them. This resulted in shifting attention from human-human collective intelligence to human-AI collaborative intelligence. This shift has significantly contributed to many fields and reduces the security risks to humans. However, there are also many ethical and legal concerns in this innovative area, like data privacy, transparency issues, liability, and accountability. This chapter, using analytical and critical methods, examines the functioning of collaborative intelligence and suggests the required ethical and legal principles for incorporation into national and international policy design. 2025, IGI Global Scientific Publishing. -
Human-Centered Insights Into ChatGPT in General Education: A Mixed-Methods Analysis of Scopus Publications
Artificial intelligence has become the need of the hour with balancing technological advancement and the timeless values of critical thinking, creativity, and ethical learning. Educators and students looking for writing assistance, quick access to information, communicating with others, or developing their language skills will consider CharGPT to be the most useful tool. This chapter focuses on user per-spectives, attitudes and concerns towards CharGPT to essentially guide the ethical development. These trends reveal that ChatGPT has rapidly transitioned from a novel tool to a mainstream academic companion, making it imperative to investigate not just its technological potential but its human-centered implications for general education. This study was conducted through a mixed approach with a systematic analysis of Scopus published research. The authors also extracted Scopus published data and analyzed it using NVivo and VOS viewer software. The sentiment analysis proved that the maximum number of studies affirmed positivity emphasizing the wider acceptance of Chat GPT. 2026 by IGI Global Scientific Publishing. All rights reserved. -
Human-Centered Intelligence in Financial Decision-Making
In the rapidly evolving landscape of twentyfirst-century finance, digitized financial services have become ubiquitous, with Artificial Intelligence (AI) emerging as a transformative force. This chapter investigates consumers contemporary dilemma in personal finance, navigating the intersection between traditional reliance on social networks for financial wisdom and the allure of AI-driven FinTech solutions. The study, encompassing 163 individuals, explores their financial decision-making preferences to discern whether they gravitate toward human connections or AI. The literature review categorizes findings into Digital Financial Literacy, FinTech, and Financial Socialization, offering insights into aspects such as autonomy, confidence, subjective well-being, and the digital divide. The chapter employs regression analysis, revealing the substantial impact of human connection and artificial intelligence on financial well-being. The significant relationships are the predictive power of these variables in shaping financial outcomes. This comprehensive exploration contributes valuable insights into the dynamic interplay between human connections and AI in personal finance. It provides a structured overview of key themes and emphasizes the need for a balanced approach that leverages the strengths of both human connections and AI to enhance overall financial well-being. The findings are helpful for individuals navigating the contemporary financial landscape, emphasizing the importance of informed decision-making that integrates the strengths of interpersonal relationships and cutting-edge AI technologies. The nexus of personal relationships, social networks, and AI has wide-ranging socioeconomic implications for various domains, individuals, households, and financial institutions. Financial well-being and artificial intelligence are emerging subjects of paramount importance in the current phase of the economy. Closer collaboration between these will likely generate new and useful insights into the financial decision-making of individuals and households. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026. -
Human-Centric Innovation: Building Sustainable Organizations for Industry 5.0
Human-centric innovation is paramount in building sustainable organizations in the era of Industry 5.0. As businesses transition from purely technology- driven models to those that integrate human creativity and advanced technologies, a new paradigm emergesone that places human well- being, ethical considerations, and sustainability at its core. This article delves into how organizations can leverage human- centric innovation to create more sustainable business practices, addressing environmental, social, and economic challenges. It discusses strategies such as empowering employees through inclusive decision- making, adopting design thinking to foster sustainable product development, and using digital tools that enhance both productivity and human health. By embracing a human- centered approach, organizations can achieve a balance between technological advancement and alignment with broader societal goals. This approach is crucial for navigating the complexities of Industry 5.0 and fostering sustainable growth in an increasingly interconnected world. 2025 by IGI Global Scientific Publishing. All rights reserved. -
Human-Centric Innovation: Building Sustainable Organizations for Industry 5.0
Human-centric innovation is paramount in building sustainable organizations in the era of Industry 5.0. As businesses transition from purely technology- driven models to those that integrate human creativity and advanced technologies, a new paradigm emergesone that places human well- being, ethical considerations, and sustainability at its core. This article delves into how organizations can leverage human- centric innovation to create more sustainable business practices, addressing environmental, social, and economic challenges. It discusses strategies such as empowering employees through inclusive decision- making, adopting design thinking to foster sustainable product development, and using digital tools that enhance both productivity and human health. By embracing a human- centered approach, organizations can achieve a balance between technological advancement and alignment with broader societal goals. This approach is crucial for navigating the complexities of Industry 5.0 and fostering sustainable growth in an increasingly interconnected world. 2025 by IGI Global Scientific Publishing. All rights reserved. -
Human-Computer Interaction: Innovations and Challenges in Virtual Reality
In an effort to shed light on the advances and difficulties that are shaping the area of Virtual Reality (VR), this research paper digs into the ever-evolving world of Human-Computer Interaction (HCI) within the context of VR. We have found important insights with theoretical and practical applications via a careful research technique comprising mathematical modelling, data collecting, and empirical analysis. Through our investigation of new technologies, we have shown the revolutionary potential of haptic feedback systems in VR settings. Our results, backed by a solid mathematical model, provide light on the measurable effect of haptic feedback and suggest it has the potential to radically alter user experiences in fields as diverse as gaming, instruction, and treatment. At the same time, we have overcome a number of obstacles inherent to virtual reality human-computer interaction, including motion sickness. Our mathematical model of motion sickness and its treatment lays the groundwork for creating VR experiences that are both enjoyable and safe for a wider range of users. This study highlights the ethical implications of VR HCI, highlighting the importance of responsible development and deployment in addition to advances and problems. To make sure that the advantages of this gamechanging technology are used in a responsible manner, we discuss issues like privacy, informed consent, and the possibility for addiction in VR. Our results, as we reach the end of our trip, are both a celebration of potential and a guide for where VR HCI is headed. They motivate more research into inclusive and human-centered design, personalized motion sickness prevention, and cutting-edge haptic feedback technologies. To further lead the development of VR HCI, we advocate for continuous multidisciplinary cooperation and the adoption of thorough ethical rules and regulations. 2024 IEEE. -
Human-machine interaction: Ethical and legal considerations
In the era of digitalization and technological advancement it is crucial to note the dichotomy between the earlier and present times with regard to human-machine interaction. Previously human controlled machines but today its opposite happens. Human-Machine Interface has so deeply touched the life of the present generation and its most explicit example could be the change from a basic push button to a touch-screen display. A simple touch has multiple effects on people's daily life. Innovation has permeated and influenced daily physical activities. Every time people use an ATM, food dispenser, snack machine, touchscreen, cloud computing, etc., they inevitably make interactions between humans and machines. Since the applications of HMI cover numerous fields, several ethical and legal considerations should be taken into account for making it effective and viable. In this perspective, the authors analyze the challenges of Human Machine Interaction suggesting a concrete policy design for its effective application. 2025, IGI Global Scientific Publishing.