From empathy to quality long-term care: a generative AI-based art therapy approach based on the self-directed learning model DOI
Ching‐Yi Chang, Pei‐Ling Wang, Chia‐Jung Li

и другие.

Interactive Learning Environments, Год журнала: 2024, Номер unknown, С. 1 - 21

Опубликована: Дек. 23, 2024

The demand for a multi-disciplinary workforce in long-term care is paramount, particularly the realm of life services. Art therapy has been recognized as being promising approach promoting learners' empathy and competences care. However, traditional art courses, most students who are not interested artworks or do have experience artwork creation could lack confidence their ability motivation to engage relevant activities, which hence affect learning performances. This study proposed Generative Artificial Intelligence (Generative AI)-based promote performance gerontological nursing training. A quasi-experimental design was adopted. participants were two classes from college. experimental group with 33 learned AI-based focused on healthcare whereas control 32 taught using instruction. Compared group, showed significant improvement performance. findings be reference those intend use images graphics generated by generative AI educational technology research.

Язык: Английский

The economics of AI adoption in OTAs: Market dynamics and future research DOI
Álvaro Hernández-Tamurejo, Paula González-Padilla,

Álvaro Saiz Sepúlveda

и другие.

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Sustained use of generative AI for shopping: a PLS-ANN analysis DOI
Behzad Foroughi, Morteza Ghobakhloo, Jun Wen

и другие.

Service Industries Journal, Год журнала: 2025, Номер unknown, С. 1 - 34

Опубликована: Апрель 3, 2025

Язык: Английский

Процитировано

0

Visual narratives and audience engagement: edutainment interactive strategies with computer vision and natural language processing DOI
Xinyue Hao, Sijo Valayakkad Manikandan, Emrah Demir

и другие.

Journal of Research in Interactive Marketing, Год журнала: 2025, Номер unknown

Опубликована: Апрель 16, 2025

Purpose This study aims to explore how the integration of visual storytelling and textual elements within edutainment content drives recursive, emotionally grounded consumer engagement in interactive marketing environments. It challenges linear models journey by emphasizing cyclical, meaning-making processes shaped visual-symbolic narrative cues. Design/methodology/approach Using a multimodal artificial intelligence (AI)-assisted analytical approach, this draws on natural language processing computer vision analyze over 10,000 social media posts from leading educational brands. identifies underlying mechanisms examining themes expressions interact influence behavior across different stages experience. Findings Visual themes, especially those featuring human or elements, trigger early-stage attention, while resonant anchors deeper involvement. co-activation supports recursive model, where consumers continuously reinterpret contribute brand narratives through micro-actions user-generated content. Engagement becomes dynamic, participatory loop rather than discrete outcome. Research limitations/implications Future research could emotional cognitive diverse groups. Additionally, investigating long-term impact loyalty will be valuable for further advancing theory. Practical implications For practitioners marketing, underscores importance using visually compelling craft personalized that resonates with consumers. By integrating both dimensions into strategies, brands can enhance engagement. Furthermore, incorporating features, such as real-time feedback loops, is crucial fostering involvement strengthening loyalty. Social The growing via presents opportunities create more meaningful fosters learning. aligning consumers’ values, societal change, advocating environmental causes enhancing public awareness participation. Originality/value reframes psychologically layered dialogic process, offering new theoretical insight symbolic affective mechanics edutainment. provides data-driven foundation designing strategies foster resonance relationships. demonstrating AI tools decode optimize engagement, contributes conceptual advancement methodological innovation field.

Язык: Английский

Процитировано

0

Corporate social responsibility as the pathway towards sustainability: a state-of-the-art review in Asia economics DOI Creative Commons
Keyi Zhang, Xinyue Hao

Discover Sustainability, Год журнала: 2024, Номер 5(1)

Опубликована: Окт. 24, 2024

In the evolving global business environment, corporate social responsibility (CSR) has transitioned from being a philanthropic effort to critical strategic necessity, particularly within Asian economies. Despite increasing importance of CSR, literature examining its application and impact in Asia remains both sparse fragmented. This study addresses this gap by conducting systematic review (SLR) 79 scholarly articles, adhering PRISMA guidelines, ensure comprehensive replicable analysis CSR practices entities. The uncovers key themes related integration into governance structures, including emphasis on renewable energy, ethical conduct, employee engagement, data privacy, while highlighting distinct challenges opportunities faced companies given their unique cultural, social, regulatory landscapes. findings indicate that although firms are increasingly incorporating strategies, there is significant need for more robust evaluation frameworks, concerning biodiversity, deforestation, collaboration with conservation organizations. Looking ahead, emphasizes prioritizing energy as environmental focus across Asia, especially region's rapid urbanization industrial growth. transition sources not only vital mitigating impacts combating climate change but also presents long-term economic benefits. Additionally, identifies substantial growth digital adoption various sectors underscoring stronger cybersecurity measures protect emerging infrastructures. Culturally socially, many countries show natural inclination towards sustainability, which can be leveraged foster greater acceptance at grassroots level. Furthermore, advocates enhanced scale facilitate knowledge transfer, share best practices, achieve economies projects. Such joint efforts could accelerate sustainable help overcome technology, finance, policymaking. These insights essential scholars practitioners aiming align sustainability goals, thereby fostering responsible behaviour diverse Asia.

Язык: Английский

Процитировано

2

Navigating the Ethical Frontier-Human Oversight in AI-Driven Decision-Making System DOI
Muhammad Usman Tariq

Advances in computational intelligence and robotics book series, Год журнала: 2024, Номер unknown, С. 425 - 448

Опубликована: Ноя. 29, 2024

This chapter investigates the complicated harmony between utilising man-made reasoning (artificial intelligence) in an upgraded direction and basis of maintaining human oversight to maintain moral principles. The potential for both significant benefits ethical dilemmas grows as AI systems increasingly penetrate critical sectors, such healthcare, law enforcement, transportation. discusses difficulties encoding standards machine-readable formats necessity incorporating values into systems. It examines instances successful flawed implementation through in-depth case studies, highlighting significance intervention at crucial junctures risk prevention mitigation. In addition, creating solid legal, ethical, practical frameworks direct use technologies.

Язык: Английский

Процитировано

2

Exploring the impact of EU tendering operations on future AI governance and standards in pharmaceuticals DOI Creative Commons
António Pesqueira, Andréia de Bem Machado,

Sama Bolog

и другие.

Computers & Industrial Engineering, Год журнала: 2024, Номер unknown, С. 110655 - 110655

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

1

The Role of Heuristics in Shaping Investment Strategies Analyzing Bias-Driven Decision-Making in Volatile Markets DOI
Liu Xing

Advances in finance, accounting, and economics book series, Год журнала: 2024, Номер unknown, С. 233 - 254

Опубликована: Дек. 4, 2024

This study examines the role of heuristics in shaping investment strategies, particularly during periods market volatility. It explores how cognitive shortcuts, such as representativeness and availability heuristics, confirmation bias, mental accounting, influence investor decision-making uncertain financial environments. The findings highlight that while can streamline decisions under pressure, they often lead to systematic biases distort outcomes. underscores importance understanding these for developing more resilient strategies suggests addressing tendencies improve both individual behavior broader stability.

Язык: Английский

Процитировано

0

From empathy to quality long-term care: a generative AI-based art therapy approach based on the self-directed learning model DOI
Ching‐Yi Chang, Pei‐Ling Wang, Chia‐Jung Li

и другие.

Interactive Learning Environments, Год журнала: 2024, Номер unknown, С. 1 - 21

Опубликована: Дек. 23, 2024

The demand for a multi-disciplinary workforce in long-term care is paramount, particularly the realm of life services. Art therapy has been recognized as being promising approach promoting learners' empathy and competences care. However, traditional art courses, most students who are not interested artworks or do have experience artwork creation could lack confidence their ability motivation to engage relevant activities, which hence affect learning performances. This study proposed Generative Artificial Intelligence (Generative AI)-based promote performance gerontological nursing training. A quasi-experimental design was adopted. participants were two classes from college. experimental group with 33 learned AI-based focused on healthcare whereas control 32 taught using instruction. Compared group, showed significant improvement performance. findings be reference those intend use images graphics generated by generative AI educational technology research.

Язык: Английский

Процитировано

0