Published: July 22, 2023
The formation and existence of the Minsponge theory (MT) do not necessarily imply competition for position or influence with other theories in fields social sciences, humanities, cognition. Instead, it plays a supportive role creates framework to improve analytical approach, particularly through Bayesian Mindsponge Framework analytics. In words, MT coexists harmoniously development theories.
Language: Английский
International Journal of Human-Computer Interaction, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 15
Published: Oct. 7, 2024
Artificial Intelligence Generated Content (AIGC) has shown significant potential in design, driven by advancements artificial intelligence technology. However, understanding designers' willingness to embrace this technology and the factors influencing their decision-making requires further research. In study, we develop a theoretical model of user behavioral intention AIGC-assisted drawing upon Diffusion Innovations theory Unified Theory Acceptance Use Technology. Through empirical analysis using PLS-SEM structural equation model, investigate mechanisms behind various on intention. Our findings highlight relative advantage as most positive factor, emphasizing importance innovation's benefits theory. Designers prioritize innovation assistance provided AIGC design process ideas, recognizing advantages itself over mere performance improvement. This study provides valuable insights into psychological guiding regarding application design.
Language: Английский
Citations
2
AI & Society, Journal Year: 2023, Volume and Issue: 39(5), P. 2611 - 2613
Published: Aug. 26, 2023
Language: Английский
Citations
5
Frontiers in Psychology, Journal Year: 2024, Volume and Issue: 15
Published: June 18, 2024
Introduction The development of advanced sewage technologies empowers the industry to produce high-quality recycled water, which greatly influences human’s life and health. Thus, this study investigates mechanism individuals’ adoption water from technology perspective. Methods Employing mixed method structural equation modeling artificial neural network analysis, we examined a research model developed extended Unified Theory Acceptance Use Technology (UTAUT2) framework. To examine model, employs leading web-survey company (Sojump) collect 308 valid samples residents in mainland China. Results results verified associations between six predictors (performance expectancy, effort social influence, facilitating conditions, environmental motivation, price value), cognitive emotional attitudes, acceptance intention. analysis validates complements by unveiling importance rank significant determinants decisions. Discussion provides theoretical implications for useful insights practitioners policymakers reduce hazards scarcity.
Language: Английский
Citations
1
AI & Society, Journal Year: 2024, Volume and Issue: unknown
Published: July 25, 2024
Language: Английский
Citations
1
Humanities and Social Sciences Communications, Journal Year: 2024, Volume and Issue: 11(1)
Published: Sept. 27, 2024
Language: Английский
Citations
1
AI & Society, Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 16, 2024
Language: Английский
Citations
1
Applied Sciences, Journal Year: 2023, Volume and Issue: 13(21), P. 11854 - 11854
Published: Oct. 30, 2023
Emotion recognition systems (ERS) are an emerging technology with immense potential, exemplifying the innovative utilization of artificial intelligence (AI) within context fourth industrial revolution (IR 4.0). Given that personalization is a key feature fifth 5.0), ERS has potential to serve as enabler for IR 5.0. Furthermore, COVID-19 pandemic increased relevance this work processes were adapted social distancing and use face masks. Even in post-pandemic era, many individuals continue wear Therefore, offers technological solution address communication challenges masked world. The existing body knowledge on primarily focuses exploring modalities or modes emotion recognition, system development, creation applications utilizing functions. However, enhance development impactful ERS, it essential researchers innovators understand factors influence its usage adoption among intended users. study presents framework combines theories identify determinants Malaysian youth. Data collected through survey involving 386 respondents. findings revealed attitudes, subjective norms, perceived behavioral control, awareness significant adoption. Additionally, found aptitude plays moderating role. These insights can inform formulation effective policies programs encourage facilitate solutions.
Language: Английский
Citations
3
Published: Nov. 5, 2023
The global water crisis is being exacerbated by climate change, even in the United States. Recycled a feasible alternative to alleviate shortage, but it constrained humans’ perceptions. current study examines how residents’ scarcity awareness and change belief influence their willingness use recycled directly indirectly. Bayesian Mindsponge Framework (BMF) analytics was employed on dataset of 1831 residents Albuquerque, New Mexico, an arid inland region US. We discovered that direct potable positively affected scarcity, only if they believe impacts cycle. Meanwhile, indirect influenced awareness, further enhances this effect. These findings implicate fighting denialism informing public situation can contribute effectiveness sustainability long-term conservation alleviation efforts.
Language: Английский
Citations
2
Frontiers in Human Dynamics, Journal Year: 2024, Volume and Issue: 6
Published: May 30, 2024
Technology qualifying as human mood enhancement can be developed, on the one hand, for well-being and mental health of their users (therapy) and, other changing above levels normality (enhancement). Such technology provokes debates concerning its societal, ethical legal consequences individuals society a whole. This paper’s aim is twofold. It first aims to show an overview often-occurring arguments in ethics debate about outline which should considered relevant supporting legislative debate. The second paper highlight some main aspects this through rights lens United Nations, Council Europe, European Union.
Language: Английский
Citations
0
Ingénierie des systèmes d information, Journal Year: 2024, Volume and Issue: 29(3), P. 895 - 908
Published: June 20, 2024
In the rapidly evolving landscape of higher education and job market, aligning students' career aspirations with suitable employment opportunities has become a critical challenge.This research presents development web-based Job Career Compatibility System (JCCS) designed to bridge gap between academic pursuits pathways.The study employs Federal Enterprise Architecture Framework (FEAF) as guiding methodology ensure systematic design, development, implementation.The case is conducted within context Nusa Putra University, aiming offer comprehensive understanding system's practical application.The JCCS integrates multifaceted functionalities, including student profiling, path exploration, matching based on skillsets preferences.FEAF's structured approach assists in defining architectural components, data flows, interdependencies, ensuring interoperability sustainability.The contributes both academia industry by showcasing successful fusion modern technological solutions robust framework.Preliminary feedback from students advisors indicates improved career-related decision-making enhanced awareness potential opportunities.Furthermore, utilization FEAF establishes precedent for similar systems other educational institutions or organizational contexts.In conclusion, developed using stands an innovative tool addressing intricate task future goals.This sheds light benefits employing developing IT realm, emphasizing positively impact transition workforce.
Language: Английский
Citations
0