Prompting AI Art: An Investigation into the Creative Skill of Prompt Engineering

International Journal of Human-Computer Interaction, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 23

Published: Nov. 28, 2024

We are witnessing a novel era of creativity where anyone can create digital content via prompt-based learning (known as prompt engineering). This article investigates engineering creative skill for creating AI art with text-to-image generation. In three consecutive studies, we explore whether crowdsourced participants (1) discern quality, (2) write prompts, and (3) refine prompts. find that could evaluate quality crafted descriptive but they lacked style-specific vocabulary necessary effective prompting. is in line our hypothesis new type non-intuitive must first be acquired (e.g., through means practice learning) before it used at level high quality. Our studies deepen understanding chart future research directions. conclude by envisioning four potential futures engineering.

Language: Английский

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Understanding tourist barriers and personality influences in embracing generative AI for travel planning and decision-making

International Journal of Hospitality Management, Journal Year: 2025, Volume and Issue: 126, P. 104105 - 104105

Published: Jan. 15, 2025

Language: Английский

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Determinants of ChatGPT Use and its Impact on Learning Performance: An Integrated Model of BRT and TPB

International Journal of Human-Computer Interaction, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 13

Published: June 7, 2024

The rapid emergence of Generative Artificial Intelligence (GAI) heralds a significant shift, opening new frontiers in how education is delivered. This groundbreaking wave technological advancement poised to redefine traditional learning, promising enhance the educational landscape with unprecedented levels personalized learning and accessibility. Despite GAI's progressive infiltration into various strata, limited empirical research exists on its impact students' performance. Drawing Theory Planned Behavior (TPB) Behavioral Reasoning (BRT), this study investigates determinants affecting use ChatGPT influence data were collected from 357 university students analyzed using PLS-SEM technique. results supported role positively In addition, showed that reasons for against adoption are pivotal shaping attitudes. found be significantly affected by attitudes, subjective norms, perceived behavioral control. Besides theoretical contributions, findings offer implications stakeholders underscore necessity institutions foster conducive environment GAI adoption, addressing ethical technical concerns optimize experiences.

Language: Английский

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Understanding Behavioral Intention to Use of Air Quality Monitoring Solutions with Emphasis on Technology Readiness

International Journal of Human-Computer Interaction, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 21

Published: June 7, 2024

This study aims to investigate the determinants of Behavioral Intention Use (BIU) within scope Air Quality Monitoring Solution (AQMS), with a focus on Technology Readiness (TR). It explores nine crucial variables: Effort Expectancy (EE), Performance (PE), Social Influence (SI), Facilitating Condition (FC), Hedonic Motivation (HM), Price Value (PV), Habit (HB), and TR using Unified Theory Acceptance 2 (UTAUT2) framework. Data collection involved 371 participants via surveys questionnaires, demographic variables such as Gender (G), Age (A), Location (L) serving moderating factors. Analysis conducted smart-pls 4.0 software revealed notable correlation between BIU, identifying HM most pivotal factor. The study's theoretical practical contributions offer nuanced understanding integration features UTAUT2 model, highlighting HM's critical role in influencing AQMS user behaviors. Furthermore, it delivers strategic insights for developers policymakers aimed at improving air quality monitoring systems. research enhances comprehension technology adoption dynamics environmental surveillance, setting groundwork refining AQMS's deployment efficacy. aligns technological innovations inclinations, underscoring combined effects AQMS-related actions. Ultimately, findings illuminate TR's significance interplay framework, providing actionable recommendations crafting more effective solutions.

Language: Английский

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Driving Factors of Generative AI Adoption in New Product Development Teams from a UTAUT Perspective

International Journal of Human-Computer Interaction, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 22

Published: July 12, 2024

Language: Английский

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What is the influence of psychosocial factors on artificial intelligence appropriation in college students?

BMC Psychology, Journal Year: 2025, Volume and Issue: 13(1)

Published: Jan. 4, 2025

In recent years, the adoption of artificial intelligence (AI) has become increasingly relevant in various sectors, including higher education. This study investigates psychosocial factors influencing AI among Peruvian university students and uses an extended UTAUT2 model to examine constructs that may impact acceptance use. employed a quantitative approach with survey-based design. A total 482 from public private universities Peru participated research. The utilized partial least squares structural equation modeling (PLS-SEM) analyze data test hypothesized relationships between constructs. findings revealed three out six significantly influenced students. Performance expectancy (β = 0.274), social influence 0.355), learning self-efficacy 0.431) were found have significant positive effects on adoption. contrast expectations, ethical awareness, perceived playfulness, readiness anxiety did not impacts appropriation this context. highlights importance practical benefits, context, self-confidence within These contribute understanding diverse educational settings provide framework for developing effective implementation strategies education institutions. results can guide policymakers creating targeted approaches enhance integration academic environments, focusing demonstrating value AI, leveraging networks, building students' confidence their ability learn use technologies.

Language: Английский

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Artificial intelligence digital employees and sustainable innovation in online retail: The mediating role of ambidextrous green innovation and the moderating role of ethical anxiety

Journal of Retailing and Consumer Services, Journal Year: 2025, Volume and Issue: 84, P. 104235 - 104235

Published: Jan. 27, 2025

Language: Английский

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International perspectives on artificial intelligence in higher education: An explorative study of students’ intention to use ChatGPT across the Nordic countries and the USA

Education and Information Technologies, Journal Year: 2025, Volume and Issue: unknown

Published: March 20, 2025

Language: Английский

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How the Human-Like Characteristics of AI Assistants Affect Employee Creativity: A Social Network Ties Perspective

International Journal of Human-Computer Interaction, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 19

Published: July 19, 2024

Language: Английский

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Students’ GAI Acceptance: Role of Demographics, Creative Mindsets, Anxiety, Attitudes

Journal of Computer Information Systems, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 15

Published: Aug. 8, 2024

This study examined the impact of university students' demographic characteristics, creative mind-sets, AI anxiety and attitudes on their acceptance Generative Artificial Intelligence (GAI) technologies. The participants this consisted 183 students, 77 (42%) females 106 (58%) males. According to results Hierarchical Multiple Linear Regression Analyses, all models significantly predicted GAI. showed that toward GAI technologies was by a fixed mind-set (β = 0.111, p .032), growth 0.413, .000), positive general attitude 0.456, .000). A played an important role in acceptance. In line with information obtained from study, ways utilize transformative power foster innovation creativity were discussed, valuable insights revealed.

Language: Английский

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