AI anxiety and knowledge payment: the roles of perceived value and self-efficacy DOI Creative Commons
Jinsong Chen, Miao He,

Sun Jin-hua

et al.

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

Published: March 6, 2025

The integration of Artificial Intelligence (AI) into daily life raises significant challenges and uncertainties, notably concerning job security skill relevance. This has led to the emergence 'AI anxiety'-a stress response potential impacts AI on individuals' futures. study examines anxiety's effects willingness pay for knowledge, focusing roles perceived value self-efficacy. consisted two experiments. Study 1 utilized a one-factor between-subjects design (AI anxiety vs. neutral emotion) with 297 participants examine mediating role in relationship between knowledge. 2 employed × emotion )×self-efficacy (high low) 506 investigate moderating effect self-efficacy this relationship. showed that significantly increases partially effect. demonstrated moderates influence anxiety: higher levels weaken, whereas lower strengthen, Furthermore, also negatively value. positively influences payment critical These findings offer new framework understanding impact consumer behavior provide actionable insights platforms policymakers.

Language: Английский

PersonaCraft: Leveraging language models for data-driven persona development DOI
Soon-Gyo Jung, Joni Salminen, Kholoud K. Aldous

et al.

International Journal of Human-Computer Studies, Journal Year: 2025, Volume and Issue: 197, P. 103445 - 103445

Published: Jan. 14, 2025

Citations

2
The impact of emotional cues on the information-gathering willingness of paid knowledge users DOI
Youjing Cao, Xiaozhao Deng

Aslib Journal of Information Management, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 1, 2025

Purpose This study aims to explore the impact of emotional cues in knowledge product descriptions on users’ willingness gather information. It specifically focuses how different types textual cues, including heuristic like “emotional titles” and systematic synopses,” influence information-gathering examines mediating role arousal this process. Design/methodology/approach A conceptual model was developed by integrating heuristic-systematic with cue utilization theory. The experimental design employed from “Knowledge Column” section Zhihu platform. controlled experiment conducted investigate effect varying these participants’ Findings identified two – such as titles,” synopses” that significantly positively users' willingness. Additionally, found mediate relationship between information context payments. Originality/value confirms descriptions, mediated arousal, can enhance payment users. research deepens theoretical exploration behavior among online users, providing valuable insights for producers effectively leveraging attract potential customers well offering guidance users their practices.

Language: Английский

Citations

1
AI anxiety and knowledge payment: the roles of perceived value and self-efficacy DOI Creative Commons
Jinsong Chen, Miao He,

Sun Jin-hua

et al.

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

Published: March 6, 2025

The integration of Artificial Intelligence (AI) into daily life raises significant challenges and uncertainties, notably concerning job security skill relevance. This has led to the emergence 'AI anxiety'-a stress response potential impacts AI on individuals' futures. study examines anxiety's effects willingness pay for knowledge, focusing roles perceived value self-efficacy. consisted two experiments. Study 1 utilized a one-factor between-subjects design (AI anxiety vs. neutral emotion) with 297 participants examine mediating role in relationship between knowledge. 2 employed × emotion )×self-efficacy (high low) 506 investigate moderating effect self-efficacy this relationship. showed that significantly increases partially effect. demonstrated moderates influence anxiety: higher levels weaken, whereas lower strengthen, Furthermore, also negatively value. positively influences payment critical These findings offer new framework understanding impact consumer behavior provide actionable insights platforms policymakers.

Language: Английский

Citations

0