Journal of Broadcasting & Electronic Media, Год журнала: 2025, Номер unknown, С. 1 - 35
Опубликована: Апрель 10, 2025
Язык: Английский
Journal of Broadcasting & Electronic Media, Год журнала: 2025, Номер unknown, С. 1 - 35
Опубликована: Апрель 10, 2025
Язык: Английский
Advances in human and social aspects of technology book series, Год журнала: 2024, Номер unknown, С. 35 - 62
Опубликована: Июнь 30, 2024
With each technological revolution, mankind experiences a shift in the pace of history, leading to emergence new age that fundamentally redefines human beliefs. Artificial intelligence (AI) is subject causing profound society towards state characterised by robots and machines. AI encompasses several technologies such as machine learning, natural language processing, big data analytics, algorithms, other related fields. Nevertheless, marked inherent bias decision-making, products rely on human-generated also display similar characteristics. The existence discrimination poses threat universal rights, since these phenomena are deeply embedded social institutions have many origins. Indeed, because its facilitation prejudice, disproportionately affects rights marginalized individuals communities, hence giving birth type oppression rooted technology.
Язык: Английский
Процитировано
17Brain Sciences, Год журнала: 2025, Номер 15(2), С. 203 - 203
Опубликована: Фев. 15, 2025
Background/Objectives: This systematic review integrates Cognitive Load Theory (CLT), Educational Neuroscience (EdNeuro), Artificial Intelligence (AI), and Machine Learning (ML) to examine their combined impact on optimizing learning environments. It explores how AI-driven adaptive systems, informed by neurophysiological insights, enhance personalized education for K-12 students adult learners. study emphasizes the role of Electroencephalography (EEG), Functional Near-Infrared Spectroscopy (fNIRS), other tools in assessing cognitive states guiding AI-powered interventions refine instructional strategies dynamically. Methods: reviews n = 103 papers related integration principles CLT with AI ML educational settings. evaluates progress made neuroadaptive technologies, especially real-time management load, feedback multimodal applications AI. Besides that, this research examines key hurdles such as data privacy, ethical concerns, algorithmic bias, scalability issues while pinpointing best practices robust effective implementation. Results: The results show that significantly improve Efficacy due managing load automatically, providing instruction, adapting pathways dynamically based data. Deep models Convolutional Neural Networks (CNNs), Recurrent (RNNs), Support Vector Machines (SVMs) classification accuracy, making systems more efficient scalable. Multimodal approaches system robustness mitigating signal variability noise-related limitations combining EEG fMRI, Electrocardiography (ECG), Galvanic Skin Response (GSR). Despite these advances, practical implementation challenges remain, including considerations, security risks, accessibility disparities across learner demographics. Conclusions: are epitomes redefinition potentials solid frameworks, inclusive design, scalable methodologies must inform. Future studies will be necessary refining pre-processing techniques, expanding variety datasets, advancing developing high-accuracy, affordable, ethically responsible systems. future AI-enhanced should inclusive, equitable, various populations would surmount technological dilemmas.
Язык: Английский
Процитировано
3Cureus, Год журнала: 2025, Номер unknown
Опубликована: Янв. 8, 2025
Does it matter how many hours we spend scrolling through Instagram? This article examines the neurobiological impact of prolonged social media use, focusing on affects brain's reward, attention, and emotional regulation systems. Frequent engagement with platforms alters dopamine pathways, a critical component in reward processing, fostering dependency analogous to substance addiction. Furthermore, changes brain activity within prefrontal cortex amygdala suggest increased sensitivity compromised decision-making abilities. The role artificial intelligence (AI) this process is significant. AI-driven algorithms are designed solely capture our attention for profit without prioritizing ethical concerns, personalizing content, enhancing user by continuously tailoring feeds individual preferences. These adaptive maximize screen time, thereby deepening activation centers. cycle optimized content heightened accelerates development addictive behaviors. interplay between altered physiology optimization creates feedback loop that promotes addiction among teenagers. raises significant concerns regarding privacy promotion personalized content. review offers comprehensive in-depth analysis neurophysiological adolescents moral governing them. It also provides solutions use preventing
Язык: Английский
Процитировано
2Frontiers in Psychology, Год журнала: 2024, Номер 15
Опубликована: Апрель 2, 2024
From tools to threats: a reflection on the impact of artificial-intelligence chatbots cognitive health
Язык: Английский
Процитировано
11Cognitive Development, Год журнала: 2025, Номер 73, С. 101542 - 101542
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
1Cureus, Год журнала: 2025, Номер unknown
Опубликована: Янв. 30, 2025
Excessive use of social media (SM) platforms and digital technology (DT), often driven by habitual scrolling due to adaptive feed experiences, has been linked anxiety, sleep disturbances, obsessive-compulsive behaviors while also exacerbating mental health concerns. Yet, the role "digital detox", defined as a voluntary reduction or temporary cessation device use, remains only partially understood both clinical lifestyle intervention. This comprehensive scoping review was conducted consolidate existing research on detox interventions evaluate contextual factors that may influence their effectiveness for well-being. A targeted keyword search detox" in PubMed database December 12, 2024, yielding 34 initial results. followed approach recommended Preferred Reporting Items Systematic Reviews Meta-Analyses Extension Scoping (PRISMA-ScR) identify, screen, extract evidence from relevant studies per pre-specified inclusion criteria. total 14 were found eligible, data these references (totaling 640 citations) extracted synthesized. Our findings suggest alleviate depression problematic internet individuals with higher baseline symptom severity appear derive benefits. However, impact broader outcomes such life satisfaction overall well-being variable. Divergent intervention approaches, ranging short-term SM abstinence sustained, moderate restrictions individual differences symptoms, coping styles, environmental pressures, support systems, contribute different across various systematic reviews. Overall, age, gender, health, range duration DT usage prior are key variables determine interventions. Tailored moderation, aligned each individual's developmental stage, academic needs, greater benefits among younger populations, particularly adolescents young adults, mindful regulated is especially advantageous female populations. other populations could benefit, provided address self-regulation challenges specific adult lifestyles. Given growing global prevalence smartphone (PSU) its documented comorbidity psychiatric disorders, strategies have potential be integrated into recommendations policy initiatives. framework assessing quality long-term essential.
Язык: Английский
Процитировано
1BMC Public Health, Год журнала: 2025, Номер 25(1)
Опубликована: Фев. 3, 2025
Язык: Английский
Процитировано
1Опубликована: Апрель 28, 2024
In the era of rapid digitalisation, widespread integration digital technology into various aspects daily life has sparked significant interest in understanding its impact on cognitive mental processes. While emerging data suggests that influence may be positive or negative, depth evidence regarding neurobiological mechanisms remains limited. This review aims to synthesise previously published studies and explore implications components, specifically those resembling mobile technology, internet search engines, conversational artificial intelligence models, functions embedded brain’s ability reorganise itself, known as neuroplasticity. Despite acknowledged limitations, through an exhaustive approach, this paper intends offer a dynamic perspective effects media human brain, before onset addiction.
Язык: Английский
Процитировано
4Computer Communications, Год журнала: 2025, Номер unknown, С. 108055 - 108055
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0Advances in business strategy and competitive advantage book series, Год журнала: 2025, Номер unknown, С. 69 - 102
Опубликована: Янв. 31, 2025
The acceleration of digital transformation, the rise technologies such as generative artificial intelligence and big data are forcing businesses to reshape way they work. As a result continuous development new integration these into every aspect life, it has become necessary for individuals have competencies strengthen their existing skills. For this reason, empowerment one main drivers competitiveness in rapidly changing markets. purpose book chapter is examine impact on from Resource-Based View (RBV) perspective. In context, study examines importance transformation employees, managers businesses, how can use tool gain competitive advantage.
Язык: Английский
Процитировано
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