Cited by Can Generative Artificial Intelligence Drive Sustainable Behavior? A Consumer Adoption Model for Ai-Driven Recommendations

People are not becoming “AIholic”: Questioning the “ChatGPT addiction” construct DOI

Víctor Ciudad-Fernández, Cora von Hammerstein, Joël Billieux

et al.

Addictive Behaviors, Journal Year: 2025, Volume and Issue: 166, P. 108325 - 108325

Published: March 9, 2025

Language: Английский

Citations

The Effect of Generative AI Ethics on Users’ Continuous Usage Intentions: A PLS-SEM and fsQCA Approach DOI

Yun Liu, Yingying Du

International Journal of Human-Computer Interaction, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 12

Published: Feb. 24, 2025

Language: Английский

Citations

It’s Scary to Use It, It’s Scary to Refuse It: The Psychological Dimensions of AI Adoption—Anxiety, Motives, and Dependency DOI

Adi Frenkenberg, Guy Hochman

Systems, Journal Year: 2025, Volume and Issue: 13(2), P. 82 - 82

Published: Jan. 29, 2025

The current study examines the psychological factors shaping AI adoption, focusing on anxiety, motivation, and dependency. It identifies two dimensions of anxiety: anticipatory driven by fears future disruptions, annihilation reflecting existential concerns about human identity autonomy. We demonstrate a U-shaped relationship between anxiety usage, where moderate engagement reduces high or low levels increase it. Perceived utility, interest, attainment significantly correlate with engagement, while frequent usage is linked to dependency but not anxiety. These findings highlight dual role in hindering alleviating usage. This enriches understanding emotional motivational drivers adoption highlights importance balanced implementation strategies foster sustainable effective integration mitigating risks over-reliance.

Language: Английский

Citations

Generative Artificial intelligence Addiction Syndrome: A New Behavioral Disorder? DOI

Chokri Kooli,

Youssef Kooli,

Eya Kooli

et al.

Asian Journal of Psychiatry, Journal Year: 2025, Volume and Issue: unknown, P. 104476 - 104476

Published: March 1, 2025

Language: Английский

Citations

Metacognitions about generative AI use: psychometric and network analysis among Chinese college students DOI

Yuntian Xie, Ying Wai Li,

Taowen Yu

et al.

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

Published: April 28, 2025

Language: Английский

Citations

To Adopt or Not to Adopt: Configurations for GenAI Recommendation Adoption in Sustainable Consumer Behavior DOI

Do Thi Thanh Phuong,

Andri Dayarana K. Silalahi,

Wei-Hsin Chang

et al.

Business Strategy & Development, Journal Year: 2025, Volume and Issue: 8(2)

Published: May 12, 2025

ABSTRACT Generative AI (GenAI) holds considerable promise for fostering sustainable consumer behavior, yet the mechanisms of trust‐building and adoption remain underexplored. This study investigates how cognitive motivational factors shape trust in GenAI‐driven sustainability recommendations. Using fuzzy‐set qualitative comparative analysis (fsQCA) on data from 577 participants Indonesia, findings show that high arises configurations perceived information quality, relevance to sustainability, ease implementation, interaction quality. In contrast, low is associated with a lack delicate perceptions complexity risk. The influence varies across pathways, highlighting its contextual nature. Trust consistently stands out as crucial condition adoption, underscoring role sustaining GenAI use. offers practical guidance developers policymakers, emphasizing need foster trust, streamline user interactions, align solutions broader goals. By addressing gaps reducing complexity, can evolve into transformative tool advancing consumer‐driven practices.

Language: Английский

Citations

Seven HCI Grand Challenges Revisited: Five-Year Progress DOI

Constantine Stephanidis,

Gavriel Salvendy,

Margherita Antona

et al.

International Journal of Human-Computer Interaction, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 49

Published: Feb. 4, 2025

Motivated by the rapid technological advancements achieved in last five years and pervasiveness of Artificial Intelligence (AI), this paper investigates evolving role HCI revisits seven grand challenges outlined 2019: human-technology symbiosis, human-environment interactions, ethics, privacy security, well-being, health eudaimonia, accessibility universal access, learning creativity, social organization democracy. Through literature analysis, reevaluates status each challenge highlights emerging requirements. Key findings reveal widespread impact AI across all domains emphasize need for improved transparency, alignment with human values, development explainable, personalized, privacy-preserving technologies to enhance user trust control. The analysis also interconnected nature these firmly asserts technology actively supporting activities collaborating harmoniously humans help them live meaningfully fulfill aspirations.

Language: Английский

Citations

Sustained use of generative AI for shopping: a PLS-ANN analysis DOI