Background: In the context of increasing doctor–patient tensions in China, the objective of this study was to explore and examine the effects of loving-kindness meditation (LKM) on doctors’ mindfulness, empathy, and communication skills. Methods: A total of 106 doctors were recruited from a hospital in China, and randomly divided into an LKM training group (n = 53) and waiting control group (n = 53). The LKM training group received 8 weeks of LKM training intervention, whereas the control group received no intervention. Three major variables (mindfulness, empathy, and communication skills) were measured before (pre-test) and after (post-test) the LKM training intervention. Results: The empathy and communication skills of the LKM group were significantly improved compared with those of the control group, but the level of mindfulness did not significantly change. Conclusions: The results suggested that LKM may contribute to improving physicians’ empathy and communication skills. However, the mechanisms that underlie the effects of the LKM on mindfulness, empathy, and communication skills and other psychological constructs needs further elucidation.

Objective: This study investigated the effects of mindfulness meditation on doctors’ mindfulness, patient safety culture, patient safety competency, and adverse events. Methods: We recruited 91 doctors from a hospital in China and randomized them to mindfulness meditation group (n = 46) and a waiting control group (n = 45). The mindfulness meditation group underwent an 8-week mindfulness meditation intervention, while the control group underwent no intervention. We measured four main variables (mindfulness, patient safety culture, patient safety competency, and adverse event) before and after the mindfulness meditation intervention. Results: In the experimental group, mindfulness, patient safety culture and patient safety competency were significantly higher compared with those of the control group. In the control group, there were no significant differences in any of the three variables between the pre-test and post-test. Adverse events in the experimental group were significantly lower than in the control group. Conclusions: The intervention of mindfulness meditation significantly improved the level of mindfulness, patient safety culture and patient safety competency. During the mindfulness meditation intervention, the rate of adverse events in the meditation group was also significantly lower than in the control group. As a simple and effective intervention, mindfulness meditation plays a positive role in improving patient safety and has certain promotional value.

Objective: Patient safety is a worldwide problem and a focus of academic research. Human factors and ergonomics (HFE) is an approach to improving healthcare work systems and processes. From the perspective of the cognitive ergonomics of HFE, the aim of this study is to improve the flow level, communication skills, and safety attitudes of surgeons through focused-attention meditation (FAM) training, thus helping to reduce adverse clinical events. Methods: In total, 140 surgeons were recruited from three hospitals in China and randomly divided into two groups (FAM group and control group). The FAM group received 8 weeks of FAM training, while the control group was on the waiting list and did not receive any interventions. Three scales (WOLF, LCSAS, and SAQ-C) were used to measure the data of three variables (flow, communication skills, and safety attitude), respectively, at two times, before and after the intervention (pre-test and post-test). The incidence of adverse events during the intervention was also collected for both groups. Results: The ANOVA results showed that all three variables had a significant main effect of time and significant interactions between time and group. The independent-sample T-test results showed that the incidence of adverse events during the intervention was significantly lower in the FAM group than in the control group. Conclusions: The intervention of FAM could significantly improve surgeons’ flow levels, communication skills, and safety attitudes, potentially helping to reduce adverse clinical events.

Background: This study investigated the effects of the loving-kindness meditation (LKM) on employees’ mindfulness, affect, altruism and knowledge hiding. Methods: In total, 100 employees were recruited from a knowledge-based enterprise in China and randomly divided into the LKM training group (n = 50) and the control group (n = 50). The LKM training group underwent LKM training for 8 weeks, while the control group did not. Seven main variables (mindfulness, altruism positive affect, negative affect, playing dumb, rationalized hiding, and evasive hiding) were measured both before (pre-test) and after (post-test) the LKM training intervention. Results: The LKM intervention significantly increased participants’ altruism, and significantly reduced negative affect, playing dumb and evasive hiding, but did not significantly improve mindfulness, positive affect, and rationalized hiding. Conclusions: LKM significantly improved employees’ altruism, and significantly reduce their negative affect, but did not significantly improve their mindfulness and positive affect. For knowledge hiding, LKM significantly reduced playing dumb and evasive hiding, but had no significant effect on rationalized hiding. These results further elucidate the psychological effects of LKM and suggest the possibility of reducing knowledge hiding in the workplace. Trial registration: ChiCTR2200057460. Registered in Chinese Clinical Trial Registry (ChiCTR), 13 March 2022—Retrospectively registered.

Introduction: Media students' acceptance and use of intelligent technology requires not only external environmental support but also the stimulation of internal driving forces. This study incorporates mindfulness into the classical Technology Acceptance Model (TAM) to investigate its role in shaping students' perceptions and behavioral intentions toward artificial intelligence (AI) tools. Specifically, the research examines: (1) the impact of mindfulness on media students' perceptions of AI technology; (2) the influence of mindfulness on their continuous intention to use AI technology; and (3) the moderating effect of perceived risk on the intention to adopt AI tools.Methods: Based on a conceptual model integrating mindfulness with TAM, this study conducted an offline questionnaire survey among 588 media students. The data were analyzed using SmartPLS and SPSS to test the structural equation modeling and moderating effects.Results: The findings revealed three key outcomes. First, mindfulness exerts a significant, direct, and positive influence on personal innovativeness (PI), perceived usefulness (PU), and perceived ease of use (PEU). Second, PI functions as a mediating variable in the relationship between mindfulness and AI-based behavioral intention (AIBI). Third, perceived risk (PR) significantly weakens the relationships between PI, PU, and AIBI.Discussion: This study demonstrates that mindfulness enhances media students' intention to adopt AI tools by strengthening their perceptions of usefulness, ease of use, and personal innovativeness. However, perceived risk undermines these positive effects. By integrating mindfulness into the Technology Acceptance Model (TAM), this research extends the theoretical understanding of AI technology acceptance and provides practical insights for media education. The findings highlight that embedding mindfulness training and reducing perceived risks can effectively foster rational acceptance and the innovative application of AI tools, thereby contributing to the cultivation of intelligent media talent.

Generative artificial intelligence (G-AI) is driving systemic transformations in the media industry, redefining the cultivation paradigm of media majors in higher education. This shift necessitates that future media professionals integrate AI thinking and master the application of digital intelligence technologies. To address the knowledge gap in understanding media students’ adoption of AI technologies, this study extends the classical Technology Acceptance Model by incorporating personal innovativeness, AI self-efficacy, and perceived risk, thereby constructing a new and comprehensive model. A survey of 588 media students was conducted, and the data were analyzed using PLS-SEM and fsQCA. The results indicate that: (1) personal innovativeness and AI self-efficacy significantly enhance both perceived usefulness and perceived ease of use; (2) perceived usefulness and perceived ease of use are core determinants of AI behavioral intention, mediating the effects of personal innovativeness and AI self-efficacy; (3) perceived risks can negatively moderate the effect of perceived usefulness and perceived ease of use on AI behavioral intention; (4) AI behavioral intention is shaped not by a single linear determinant but by intersecting configurations of factors, leading to three distinct enhancement pathways: self-driven, efficacy-oriented, and risk-resistant. This study advances the Technology Acceptance Model by integrating psychological and risk-based constructs, offering theoretical insights into the multidimensional driving forces of AI adoption and practical strategies for fostering AI competencies in media students.