Fear of the new technology: Investigating the factors that influence individual attitudes toward generative Artificial Intelligence (AI)

Current Psychology, Год журнала: 2025, Номер unknown

Опубликована: Фев. 17, 2025

Язык: Английский

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Surface Classification from Robot Internal Measurement Unit Time-Series Data Using Cascaded and Parallel Deep Learning Fusion Models

Machines, Год журнала: 2025, Номер 13(3), С. 251 - 251

Опубликована: Март 20, 2025

Surface classification is critical for ground robots operating in diverse environments, as it improves mobility, stability, and adaptability. This study introduces IMU-based deep learning models surface a low-cost alternative to computer vision systems. Two feature fusion were introduced classify the type using time-series data from an IMU sensor mounted on robot. The first model, cascaded employs 1-D Convolutional Neural Network (CNN) followed by Long Short-Term Memory (LSTM) network then multi-head attention mechanism. second model parallel which processes through both CNN LSTM simultaneously before concatenating resulting vectors passing them Both utilize mechanism enhance focus relevant segments of time-sequence data. trained normalized Internal Measurement Unit (IMU) dataset, with hyperparameter tuning achieved via grid search optimal performance. Results showed that higher accuracy metrics, including mean Average Precision (mAP) 0.721 compared 0.693 model. However, incurred 44.37% increase processing time, makes more suitable real-time applications. contributed significantly improvements, particularly

Язык: Английский

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The Role of Social Robots in Alleviating Anxiety and Enhancing Mental Well-Being

International Journal of Mental Health and Addiction, Год журнала: 2025, Номер unknown

Опубликована: Март 25, 2025

Язык: Английский

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Exploring the Impact of AI-Driven Personalization on Consumer Engagement in Digital Marketing.

Management, Год журнала: 2025, Номер 1, С. 117 - 144

Опубликована: Март 17, 2025

<b>Research background and purpose:</b> This study examines AI-driven impact personalization on consumer engagement within Saudi Arabia’s digital marketing landscape, aligning with Vision 2030 objectives. It underscores the transformative potential of artificial intelligence in enhancing customer interaction, satisfaction, loyalty by delivering tailored experiences that address preferences. The research focuses key factors—ethical considerations, technological readiness, organizational culture, cost—that influence effectiveness personalization, providing insights into fostering robust relationships supporting transformation initiatives. <b>Design/methodology/approach: </b> uses a descriptive-analytical approach to explore relationship between engagement. Researchers collected data through structured questionnaire distributed randomly selected sample 350 participants analyzed 300 valid responses. They applied statistical methods, including descriptive statistics correlation analysis, examine variables. Additionally, Cronbach’s alpha evaluated reliability instruments. <b>Findings:</b> reveals significant positive Ethical particularly privacy transparency (correlation coefficient = 0.81), play most influential role emphasizing need for secure transparent practices build trust. Organizational culture (0.75) also plays crucial role, innovation professionalism strengthening trust loyalty. Technological readiness cost further enhance engagement, as organizations leverage advanced AI technologies strategic pricing deliver personalized experiences. Participants appreciate convenience, efficiency, tangible benefits provided these services. <b>Value added limitations:</b> provides critical economy, integration ethical standards gain competitive edge. However, reliance self-reported geographically confined may limit generalizability. Future should include broader demographics additional variables expand findings.

Язык: Английский

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Understanding Consumer Sentiment Towards Gen A Insights and Implications

Advances in wireless technologies and telecommunication book series, Год журнала: 2025, Номер unknown, С. 283 - 342

Опубликована: Апрель 4, 2025

The purpose of this study is to provide insights into consumer sentiment towards Generative (Gen) artificial intelligence (AI). This relevant, given the enormous impact Gen AI on society and lack scientific literature empirical studies. focuses creating new content using training data employing foundation models that can perform multiple complex tasks simultaneously. be in form literature, images, music, or videos. specific objectives are: To determine overall feeling (positive, negative neutral) consumers AI.To identify main themes driving positive sentiments AIA tech analysis tool was used collect from web over a period time. keywords search queries were defined large language model with human supervision. Key findings, trends actionable recommendations are summarised. authors hope contribute deeper understanding effects generative draw up future lines research action.

Язык: Английский

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AI-Enabled Humanoid Devices Bridging Personalized Learning and Inclusive Education for Cyber Nomads

Advances in computational intelligence and robotics book series, Год журнала: 2025, Номер unknown, С. 41 - 72

Опубликована: Апрель 11, 2025

Integration of the AI humanoid devices into education allows transforming paradigms and proposes alternative solutions for cyber nomads where mobility digital reliance undermine conventional educational infrastructure. Artificial intelligence based furnish personalized, adaptable likewise culturally learning experiences to help in bridging vulnerabilities access, equitableness cultural adaptableness. This chapter studies what role play addressing challenges face, such as being unable access Internet regularly, algorithmically unfair barriers. Moreover it examines ethical considerations data privacy, emotional manipulation commercialization; issues related technological hindrances, including infrastructure, scalability interoperability.

Язык: Английский

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Technology of stabilizing parameters of twocolor light-emitting diodes

E3S Web of Conferences, Год журнала: 2024, Номер 538, С. 01009 - 01009

Опубликована: Янв. 1, 2024

The paper presents a method for ensuring the temporal and temperature stability of parameters light-emitting diodes based on semiconductor compound GaSb its solid solutions GaInAsSb. technology manufacturing two-wavelength GaInAsSb (1.94 μm 2.2 μm) has been improved, their in range -40 ºC to 80 determined. A twostructure optoelectronic device scheme developed equalize initial measuring reference emission flows twocolor LED ensure parameters. equality two chips with peaks at different wavelengths two-color LED, which determine accuracy measurement devices.

Язык: Английский

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The effect of multiplicity of carrier circulation on the efficiency of single-contour thermoisiphon systems of sollor hot-water supply

E3S Web of Conferences, Год журнала: 2024, Номер 538, С. 01007 - 01007

Опубликована: Янв. 1, 2024

The article deals with the optimization of circuit solutions and operational parameters in order to increase efficiency solar heat supply systems equipped flat collectors. development innovative technologies for use energy country, increasing its efficiency, as well scientific research this area, including formation skills a broad understanding energy, laboratory bench was provided monitoring internal processes information systems. Current these methods has seen electrical heating collectors, antifreeze, slow circulation, drainage high costs.

Язык: Английский

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Innovative Artificial Intelligence Approaches for Identifying and Managing DSM Cluster B Personality Disorders in Mental Health

IGI Global eBooks, Год журнала: 2025, Номер unknown, С. 1 - 20

Опубликована: Март 6, 2025

The increasing use of Artificial Intelligence (AI) in mental health presents significant ethical and practical challenges. Applications such as Machine Learning (ML) chatbots aim to enhance the accessibility effectiveness therapies, enabling earlier diagnosis continuous monitoring. However, their implementation raises concerns regarding data privacy potential dehumanization psychological treatment. Furthermore, AI can be utilized assist identifying traits associated with dark triad, including narcissism, psychopathy, Machiavellianism, which may prove beneficial managing various personality disorders. Despite its advantages, it is crucial develop public policies that regulate these technologies protect patient rights, ensuring complements rather than replaces human intervention care.

Язык: Английский

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The Role of Generative Artificial Intelligence in Digital Agri-Food

Journal of Agriculture and Food Research, Год журнала: 2025, Номер unknown, С. 101787 - 101787

Опубликована: Март 1, 2025

Язык: Английский

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