Factors Influencing University Students’ Behavioral Intention to Use Generative Artificial Intelligence: Integrating the Theory of Planned Behavior and AI Literacy

International Journal of Human-Computer Interaction, Год журнала: 2024, Номер unknown, С. 1 - 23

Опубликована: Июль 29, 2024

Generative artificial intelligence (GAI) advancements have ignited new expectations for (AI)-enabled educational transformations. Based on the theory of planned behavior (TPB), this study combines structural equation modeling and interviews to analyze influencing factors Chinese university students' GAI technology usage intention. Regarding AI literacy, cognitive literacy in ethics scored highest (M = 5.740), while awareness lowest 4.578). Students' attitudes toward significantly positively influenced their intention, with combined TPB framework explaining 59.3% variance. subjective norms perceived behavioral control, attitude mediated impact Further, provide insights management leadership regarding construction an ecosystem under application technology.

Язык: Английский

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Customer service through AI-Powered human-robot relationships: Where are we now? The case of Henn na cafe, Japan

Technology in Society, Год журнала: 2024, Номер 77, С. 102570 - 102570

Опубликована: Май 3, 2024

Throughout history, interactions between humans and robots, robots themselves have experienced profound shifts, generating a plethora of literature within the domains manufacturing services. Despite abundance scientific publications, consensus regarding these relationships remains elusive, fostering ambiguity domains. This article aims to present an encompassing widely accepted perspective on existing body literature, seeking unravel nature relational paradigms. Our objective revolves around analyzing that zeroes in enhancement Artificial Intelligence (AI) Human-Robot relationships, particularly context Henceforth, our research pivots toward specialized exploring domain technical-biosocial systems, which encompasses human-technology-social structures. By doing so, we aim analyze AI more delimited context, thereby mitigating critique gap persists scholarly discourse owing predominant analysis global purview. Mindful potential drawbacks associated with purely holistic aggregated conceptual theoretical model, opted subject model empirical validation. To achieve this, case study was employed, specific focus avant-garde Henn na Cafe Japan. The findings underline currently, employs Interaction Collaboration (HRI-C). However, there is expectation service companies will embrace evolving HRI-C by integrating enhance delivery activities. Alternatively, they may opt for Robot-Robot (RRI-C) approach improved social capabilities or multi-human/multi-robot systems. are consistent indicates contemporary interest investigating complex emotional systems service-oriented environments. These environments, characterized elevated levels AI, challenges executing functions effectively. Recent endeavors synthesize assess prevailing understanding directions this domain. convergence not only reinforces but also provides supplementary perspectives human-robot relations complexities involved technologically sophisticated settings. Subsequent could pivot towards heightened services sector, how might either fortify vantage point centered multi-robot

Язык: Английский

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Effects of AI understanding-training on AI literacy, usage, self-determined interactions, and anthropomorphization with voice assistants

Computers and Education Open, Год журнала: 2024, Номер 6, С. 100176 - 100176

Опубликована: Апрель 4, 2024

Intelligent voice assistants (IVAs) such as Alexa or Siri are voice-based Artificial Intelligence systems that help users with various everyday tasks using simple commands. However, often only have a superficial understanding of how the (AI) integrated into IVAs works, which leads to misunderstandings and potential risks use. To promote self-determined interaction IVAs, development specific AI-related skills, comprehensive AI, is crucial. Based on learning psychology media pedagogy principles, two online training modules were developed deepen AI concerning enable interaction. A total 99 participants took part in training. The results show promotes both literacy. It also increases intention use positive attitude, enhances willingness for In addition, contributes more realistic assessment IVAs' capabilities reduces anthropomorphic perceptions. Overall, study emphasizes relevance skills shows targeted can contribute improving these skills. Thus, present work availability digital education programs.

Язык: Английский

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Generative AI inspiration and hotel recommendation acceptance: Does anxiety over lack of transparency matter?

International Journal of Hospitality Management, Год журнала: 2025, Номер 126, С. 104112 - 104112

Опубликована: Янв. 18, 2025

Язык: Английский

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Unlocking Potential: Key Factors Shaping Undergraduate Self-Directed Learning in AI-Enhanced Educational Environments

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

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Generative artificial intelligence acceptance and artificial intelligence anxiety among university students: the sequential mediating role of attitudes toward artificial intelligence and literacy

Current Psychology, Год журнала: 2025, Номер unknown

Опубликована: Фев. 3, 2025

Abstract The use of artificial intelligence (AI) applications is increasing in daily life. However, despite its remarkable capabilities, the widespread integration this technology into all aspects human life also carries risk causing unforeseen psychological difficulties for humanity. For reason, it necessary to identify factors that may particularly affect anxiety. We examined sequential mediation effect AI literacy and attitudes towards on relationship between generative acceptance study was conducted with 494 university students ( M age = 21.84, SD 1.24). research model designed according PROCESS Macro 80 proposed by Hayes. Data were analyzed using SPSS v.26 program, Pearson’s correlations, Hayes’s macro method mediation. results revealed anxiety has significant relationships acceptance, literacy, toward AI. Indirect tests supported mediating literacy. These help us understand underlying mechanism

Язык: Английский

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Technological Self-Efficacy and Sense of Coherence: Key Drivers in Teachers' AI Acceptance and Adoption

Computers and Education Artificial Intelligence, Год журнала: 2025, Номер unknown, С. 100377 - 100377

Опубликована: Фев. 1, 2025

Язык: Английский

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Can student accurately identify artificial intelligence generated content? an exploration of AIGC credibility from user perspective in education

Education and Information Technologies, Год журнала: 2025, Номер unknown

Опубликована: Фев. 26, 2025

Язык: Английский

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How does AI literacy affect individual innovative behavior: the mediating role of psychological need satisfaction, creative self-efficacy, and self-regulated learning

Education and Information Technologies, Год журнала: 2025, Номер unknown

Опубликована: Фев. 26, 2025

Язык: Английский

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How does AI affect the self-actualization of content creators in dynamic environments? A knowledge management perspective

Technology in Society, Год журнала: 2025, Номер unknown, С. 102855 - 102855

Опубликована: Фев. 1, 2025

Язык: Английский

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