What factors contribute to the acceptance of artificial intelligence? A systematic review

Telematics and Informatics, Journal Year: 2022, Volume and Issue: 77, P. 101925 - 101925

Published: Dec. 14, 2022

Artificial Intelligence (AI) agents are predicted to infiltrate most industries within the next decade, creating a personal, industrial, and social shift towards new technology. As result, there has been surge of interest research user acceptance AI technology in recent years. However, existing appears dispersed lacks systematic synthesis, limiting our understanding technologies. To address this gap literature, we conducted review following Preferred Reporting Items for Systematic Reviews meta-Analysis guidelines using five databases: EBSCO host, Embase, Inspec (Engineering Village host), Scopus, Web Science. Papers were required focus on both Acceptance was defined as behavioural intention or willingness use, buy, try good service. A total 7912 articles identified database search. Sixty included review. Most studies (n = 31) did not define their papers, 38 participants. The extended Technology Model (TAM) frequently used theory assess Perceived usefulness, performance expectancy, attitudes, trust, effort expectancy significantly positively intention, willingness, use behaviour across multiple industries. some cultural scenarios, it that need human contact cannot be replicated replaced by AI, no matter perceived usefulness ease use. Given methodological approaches present literature have relied self-reported data, further naturalistic methods is needed validate theoretical model/s best predict adoption

Language: Английский

---

Understanding the potential applications of Artificial Intelligence in Agriculture Sector

Advanced Agrochem, Journal Year: 2022, Volume and Issue: 2(1), P. 15 - 30

Published: Oct. 28, 2022

Artificial Intelligence (AI) has been extensively applied in farming recently. To cultivate healthier crops, manage pests, monitor soil and growing conditions, analyse data for farmers, enhance other management activities of the food supply chain, agriculture sector is turning to AI technology. It makes it challenging farmers choose ideal time plant seeds. helps optimum seed a particular weather scenario. also offers on forecasts. AI-powered solutions will help produce more with fewer resources, increase crop quality, hasten product reach market. aids understanding qualities. by suggesting nutrients they should apply quality soil. can optimal their Intelligent equipment calculate spacing between seeds maximum planting depth. An system known as health monitoring provides information crops that need be given yield quantity. This study identifies analyses relevant articles Agriculture. Using AI, now access advanced analytics tools foster better farming, improve efficiencies, reduce waste biofuel production while minimising negative environmental impacts. Machine Learning (ML) have transformed various industries, wave reached sector. Companies are developing several technologies make farmers' easier. Hyperspectral imaging 3D laser scanning leading AI-based ensure health. These collect precise greater volume analysis. paper studied its The process Agriculture some parameters monitored briefed. Finally, we identified discussed significant applications agriculture.

Language: Английский

---

An overview of smart irrigation systems using IoT

Energy Nexus, Journal Year: 2022, Volume and Issue: 7, P. 100124 - 100124

Published: July 25, 2022

Countries are working into making agriculture more sustainable by integrating different technologies to enhance its operation. Implementing improvements in irrigation systems is crucial for the water-use efficiency and works as a contributor Sustainable Development Goals (SDGs) under United Nations specifically Goal 6 Target 6.4. This paper aims highlight contribution of SMART using Internet Things (IoT) sensory relation SDGs. The study based on qualitative design along with focusing secondary data collection method. Automated essential conservation water, this improvement could have vital role minimizing water usage. Agriculture farming techniques also linked IoT automation, make whole processes much effective efficient. Sensory helped farmers better understand their crops reduced environmental impacts conserve resources. Through these advanced soil weather monitoring takes place efficient management. Irrigation been determined positive toward optimized that use continuous research development which focus enhancing operations cost reduction. Lastly, challenges benefits implementation discussed. review will assist researchers provide an adequate approach would be sufficient carry out related activities.

Language: Английский

---

The Roles of Personality Traits, AI Anxiety, and Demographic Factors in Attitudes toward Artificial Intelligence

International Journal of Human-Computer Interaction, Journal Year: 2022, Volume and Issue: 40(2), P. 497 - 514

Published: Dec. 7, 2022

The present study adapted the General Attitudes toward Artificial Intelligence Scale (GAAIS) to Turkish and investigated impact of personality traits, artificial intelligence anxiety, demographics on attitudes intelligence. sample consisted 259 female (74%) 91 male (26%) individuals aged between 18 51 (Mean = 24.23). Measures taken were demographics, Ten-Item Personality Inventory, Anxiety Scale, Scale. GAAIS had good validity reliability. Hierarchical Multiple Linear Regression Analyses showed that positive significantly predicted by level computer use (β 0.139, p 0.013), knowledge about 0.119, 0.029), AI learning anxiety −0.172, 0.004). Negative agreeableness 0.120, 0.019), configuration −0.379, < 0.001), −0.211, 0.001). play important roles in AI. Results are discussed light previous research theoretical explanations.

Language: Английский

---

Deep learning based computer vision approaches for smart agricultural applications

Artificial Intelligence in Agriculture, Journal Year: 2022, Volume and Issue: 6, P. 211 - 229

Published: Jan. 1, 2022

The agriculture industry is undergoing a rapid digital transformation and growing powerful by the pillars of cutting-edge approaches like artificial intelligence allied technologies. At core intelligence, deep learning-based computer vision enables various activities to be performed automatically with utmost precision enabling smart into reality. Computer techniques, in conjunction high-quality image acquisition using remote cameras, enable non-contact efficient technology-driven solutions agriculture. This review contributes providing state-of-the-art technologies based on learning that can assist farmers operations starting from land preparation harvesting operations. Recent works area were analyzed this paper categorized (a) seed quality analysis, (b) soil (c) irrigation water management, (d) plant health (e) weed management (f) livestock (g) yield estimation. also discusses recent trends such as generative adversarial networks (GAN), transformers (ViT) other popular architectures. Additionally, study pinpoints challenges implementing farmer’s field real-time. overall finding indicates convolutional neural are corner stone modern their architectures provide across terms accuracy. However, success approach lies building model dataset real-time solutions.

Language: Английский

---

MAILS - Meta AI literacy scale: Development and testing of an AI literacy questionnaire based on well-founded competency models and psychological change- and meta-competencies

Computers in Human Behavior Artificial Humans, Journal Year: 2023, Volume and Issue: 1(2), P. 100014 - 100014

Published: Aug. 1, 2023

Valid measurement of AI literacy is important for the selection personnel, identification shortages in skill and knowledge, evaluation interventions. A questionnaire missing that deeply grounded existing literature on literacy, modularly applicable depending goals, includes further psychological competencies addition to typical facets AIL. This paper presents development validation a considering desiderata described above. We derived items represent different competencies, such as problem-solving, learning, emotion regulation regard AI. collected data from 300 German-speaking adults confirm factorial structure. The result Meta Literacy Scale (MAILS) with Use & apply AI, Understand Detect Ethics ability Create separate construct, Self-efficacy learning problem-solving Self-management (i.e., persuasion regulation). study contributes research by providing instrument relying profound competency models. Psychological are included particularly context pervasive change through systems.

Language: Английский

---

Factors influencing students' intention to adopt and use ChatGPT in higher education: A study in the Vietnamese context

Education and Information Technologies, Journal Year: 2023, Volume and Issue: 29(10), P. 12167 - 12195

Published: Dec. 7, 2023

Language: Английский

---

Exploring User Adoption of ChatGPT: A Technology Acceptance Model Perspective

International Journal of Human-Computer Interaction, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 15

Published: Feb. 22, 2024

In the rapidly evolving landscape of technology, emergence Chat Generative Pre-trained Transformer (ChatGPT) marks a pivotal milestone in realm Artificial Intelligence (AI). However, little research has reported predictors people's intentions to use ChatGPT. This pioneering study empirically examines user adoption through lens Technology Acceptance Model (TAM) using convenience sampling method. The surveyed 784 ChatGPT users China, whom 58.93% were males. results have revealed several key findings: (1) perceived usefulness, ease use, behavioral intention, and behavior positively correlated with each other; (2) intention acted as mediating factor relationship between usefulness behavior, well behavior; (3) played chain-mediated role (4) exhibited greater strength among females compared males; (5) association was found be stronger urban comparison their rural counterparts; (6) connections observed individuals higher educational backgrounds relative those lower backgrounds. These findings provide crucial nuanced insights advance practical application ChatGPT, emphasizing need for enhanced usability use. this exclusively captured usage behaviors within Chinese base. Future investigations could encompass diverse demographics across multiple countries, enabling cross-cultural comparisons.

Language: Английский

---

Application of precision agriculture technologies in Central Europe-review

Journal of Agriculture and Food Research, Journal Year: 2024, Volume and Issue: 15, P. 101048 - 101048

Published: Feb. 15, 2024

Precision agriculture (PA) relies on a large amount of precise data about given area and allows that to be used in accordance with agronomic practices. It offers farmers greater control over existing processes, from crop placement soil conditions chemical use. On the other hand, applying precision livestock solutions these expanding systems is way bring animals closer producers minimize waste costs. In Europe, has emerged as new help increase quantity quality agricultural production while using fewer inputs. The spatial temporal variability application PA implications site-specific are documented this article. objective review article provide an overview Central European countries (Poland, Czech Republic, Austria, Slovakia, Slovenia, Germany, Hungary) identified through systematic literature (SLR). analyses revealed rapid development automation agriculture, demand for skilled workers will continue technology open up areas well AgriTech startups future. Currently, there Germany Republic who leaders use technologies. However, requires further research more accurate information constantly evolving.

Language: Английский

---

Farmers’ Transition to Climate-Smart Agriculture: A Systematic Review of the Decision-Making Factors Affecting Adoption

Sustainability, Journal Year: 2024, Volume and Issue: 16(7), P. 2828 - 2828

Published: March 28, 2024

Agriculture is currently facing major challenges related to ensuring the food security of a rising population and climate change with extreme weather patterns. At same time, agriculture cause environmental degradation, pollution biodiversity loss. Climate-smart (CSA) proposed as an approach that provides roadmap sustainable agricultural development. Despite this, farmer adoption rates CSA practices technologies in Europe remain low. This paper seeks systematically review synthesize factors facilitate or hinder farmers’ uptake Europe. Out 2827 articles identified Web Science Scopus databases, total 137 research were included for analysis following PRISMA methodology. The are categorized into seven categories, namely socio-demographics, psychological, farm characteristics, practice/technology-related attributes, biotic/abiotic, systemic policy factors, majority studies focusing on first four while relatively understudied. results highlight time does not depend solely characteristics but also systems structures which farmers operate, well interactions other value chain actors. To promote practices, extension advisory services along access timely reliable information, play vital role increasing awareness provision training encouragement behavioral shifts towards practices. From technological point view, adapting be easy use, compatible current farming objectives cost-efficient will render them less risky investments foster rates. Finally, support from government terms financial support, subsidies reduced bureaucratic procedures crucial motivating adoption.

Language: Английский

---