Опубликована: Авг. 16, 2024
Язык: Английский
Applied Sciences, Год журнала: 2024, Номер 14(16), С. 6902 - 6902
Опубликована: Авг. 7, 2024
Traditionally, users have perceived that only manual laborers or those in repetitive jobs would be subject to technological substitution. However, with the emergence of technologies like Midjourney, ChatGPT, and Notion AI, known as Artificial Intelligence-Generated Content (AIGC), we come realize cognitive laborers, particularly creative designers, also face similar professional challenges. Yet, there has been relatively little research analyzing acceptance trust artificial intelligence from perspective designers. This study integrates TAM/TPB behavioral measurement model, incorporating intrinsic characteristics delineate their risks AIGC into functional emotional dimensions. It explores how these characteristics, risks, influence designers’ intentions, employing structural equation modeling for validation. The findings reveal following: (1) designer is primary factor influencing choices; (2) different dimensions varying degrees impact on trust, significantly positively affecting compared risks; (3) by enhancing transparency credibility (AIGC) can designers elevated; (4) effectively safeguarding legitimate rights interests reduced, thereby subsequently prompting actual intentions. not enhances applicability suitability across various industries but provides evidence feasibility intelligent design industry, facilitating transition Design (AIGD) industrial upgrading.
Язык: Английский
Процитировано
5
Systems, Год журнала: 2024, Номер 12(9), С. 332 - 332
Опубликована: Авг. 29, 2024
This study investigates the factors influencing undergraduate students’ self-directed learning (SDL) abilities in generative Artificial Intelligence (AI)-driven interactive environments. The advent of AI has revolutionized environments, offering unprecedented opportunities for personalized and adaptive education. Generative supports teachers delivering smart education, enhancing acceptance technology, providing personalized, experiences. Nevertheless, application higher education is underexplored. explores how these AI-driven platforms impact abilities, focusing on key teacher support, strategies, technology acceptance. Through a quantitative approach involving surveys 306 undergraduates, we identified motivation, technological familiarity, quality interaction. findings reveal mediating roles self-efficacy motivation. Also, confirmed that improvements support strategies within AI-enhanced environments contribute to increasing self-efficacy, acceptance, contributes uncovering can inform design more effective educational technologies enhance student autonomy outcomes. Our theoretical model research deepen understanding applying while important contributions managerial implications.
Язык: Английский
Процитировано
5
Online Journal of Communication and Media Technologies, Год журнала: 2025, Номер 15(2), С. e202513 - e202513
Опубликована: Фев. 25, 2025
This research project focuses on developing an interactive e-module specifically designed to improve critical thinking skills in elementary school students. To achieve this goal, we used a and development approach based the 4D model, involving 36 fourth-grade students at Pasirhuni State Elementary School, Indonesia as sample, data collection using validation sheets tests, analysis expert questionnaires, classical completeness N-gain tests. The results showed high scores media material aspects, with average score of 89.40%, which indicated that was very valid, effectiveness test conducted wide scale, pre- post-test percentage 89% complete criteria. implementation resulted significant increase students’ skills. recommendation can contribute further role visual features digital modules support student’s cognitive
Язык: Английский
Процитировано
0
International Journal of Industrial Ergonomics, Год журнала: 2025, Номер 107, С. 103709 - 103709
Опубликована: Март 17, 2025
Язык: Английский
Процитировано
0
Applied Sciences, Год журнала: 2024, Номер 14(17), С. 7444 - 7444
Опубликована: Авг. 23, 2024
Product Identity (PI) is a strategic instrument for enterprises to forge brand strength through New Development (NPD). Concurrently, facing increasingly fierce market competition, the NPD consumer emotional requirements (CRs) has become significant objective in enterprise research and development (R&D). The design of new product forms must ensure continuity PI concurrently address needs users. It demands high level experience from designers investment R&D. To solve this problem, generative quantitative method powered by AI, based on Shape Grammar (SG) Kansei Engineering (KE), proposed. specific as follows: Firstly, representative products Morphological Analysis (MA) are selected, SG applied establish initial shapes transformation rules, prompts input into Midjourney. This process generates conceptual sketches iteratively refines them, resulting set that preserve PI. Secondly, web crawler mines online reviews extract words. Factor (FA) clusters them factors, Grey Analytic Hierarchy Process (G-AHP) calculates their grey weights. Thirdly, after analyzing feature extraction, features integrated with CRs Quality Function Deployment (QFD) matrix. Experts evaluate relationships using interval numbers, calculating optimal ranking Characteristics (PIECs). Finally, professional refine selected 3D models detailed designs. Using Chinese case study, we have designed female electric moped (E-moped) fit users’ needs. Through questionnaire survey scheme, argue proposed innovative efficient, applicable, effective balancing form user emotions.
Язык: Английский
Процитировано
4
Nurse Education in Practice, Год журнала: 2025, Номер 83, С. 104266 - 104266
Опубликована: Янв. 15, 2025
Язык: Английский
Процитировано
0
Education and Information Technologies, Год журнала: 2025, Номер unknown
Опубликована: Янв. 24, 2025
Язык: Английский
Процитировано
0
SHS Web of Conferences, Год журнала: 2025, Номер 213, С. 02045 - 02045
Опубликована: Янв. 1, 2025
The rapid development of Artificial Intelligence Generated Content (AIGC) technology is profoundly influencing the curriculum system art education, driving changes in artistic creation methods, teaching models, and talent cultivation directions. AIGC not only improves efficiency creation, but also expands boundaries expression, presenting new opportunities challenges for education. This article explores impact on analyzes its content, modes, goals, proposes a path reconstructing education that adapts to era. Specifically, should optimize structure, integrate content related artificial intelligence digital art, introduce intelligent tools, enhance personalized interactive learning experiences, strengthen interdisciplinary integration deeply technology. In addition, innovative methods such as project-based blended models are needed students’ creativity technical literacy. By constructing era, can better cultivate composite talents with ability promote modernization sustainable
Язык: Английский
Процитировано
0
International Journal of Systems Assurance Engineering and Management, Год журнала: 2025, Номер unknown
Опубликована: Апрель 1, 2025
Язык: Английский
Процитировано
0
Education and Information Technologies, Год журнала: 2025, Номер unknown
Опубликована: Апрель 2, 2025
Язык: Английский
Процитировано
0