Frontiers in Psychology最新文献

In human-robot social interactions, a robot's facial expressions serve as a crucial channel for conveying emotions and fostering trust. However, current social robots predominantly employ emoji-like icons and simulated muscle movements for anthropomorphic ex-pression, and research on facial color-emotion relationships tends to adjust hue, saturation, and lightness simultaneously-overlooking how color lightness alone influences emotional intensity. This study explores the specific link between emotion type and color lightness in social robots' digital facial expressions to enhance affective communication in human-computer interaction. In our experiment, participants viewed robot faces dis-playing the same emotion at varying lightness levels and rated perceived arousal on a 1-5 scale. The results confirm that manipulating color lightness significantly modulates emotional arousal. Overall, these findings suggest that adaptive lightness adjustments in robot facial colors can yield more realistic and intuitive affective interactions between humans and machines.

Introduction: Poverty Alleviation through Relocation (PAR) aims to break the intergenerational transmission of poverty by improving living environments. Understanding its impact on the psychological well-being of older adults, particularly loneliness, holds significant value for refining post-relocation support policies, enhancing the welfare of older populations, and promoting active aging.

Methods: This study utilizes 2025 field survey data from Sichuan, Yunnan, and Guizhou provinces. The analysis employs an instrumental variable approach to address endogeneity, a mediation effect model to test the role of social exchange intensity, and a moderation effect model to examine the buffering effect of support policies.

Results: Findings indicate that PAR significantly associated with higher overall levels of loneliness among older adults. (β = 0.568, p < 0.01). However, PAR exerts differential effects on distinct dimensions of loneliness: it significantly aggravates emotional loneliness (β = 3.592, p < 0.01) while alleviating social loneliness (β = -1.486, p < 0.01). Heterogeneity analysis further reveals that the vulnerability to loneliness is more prominent among older adults in centralized resettlement communities and those in the older-old age group. Mechanism analysis suggests that social exchange intensity mediates the effect of PAR on loneliness. Support policies effectively mitigate the negative impact of PAR on emotional loneliness.

Discussion: This study reveals that while PAR improves material conditions, it may simultaneously create structural risks for the psychological well-being of older adults by disrupting social networks and weakening emotional support. The study recommends building differentiated psychological support systems, strengthening mechanisms for social network reconstruction, improving targeted support for vulnerable groups, and integrating mental health services into community governance. These measures can systematically enhance the psychological well-being of older adults in PAR communities.

[This corrects the article DOI: 10.3389/fpsyg.2025.1725858.].

Background: Teachers are a high-risk group for job burnout, and alleviating this issue is increasingly urgent. Teachers' social-emotional competence is closely associated with alleviating occupational burnout and plays a pivotal role in professional development. Consequently, identifying effective methods to reduce teacher burnout has become a central concern in educational science, psychology, and teacher professional development.

Methods: Grounded in the Job Demands-Resources framework, this study developed and tested a mediation model using survey data from 924 Chinese elementary and secondary school teachers. This study delves into the positive role of social-emotional competence in mitigating teacher burnout and elucidates its underlying mechanisms of influence.

Results: Teachers' social-emotional competence and teaching efficacy negatively predicts teacher burnout. Meanwhile, teaching efficacy mediates the relationship between social-emotional competence and teacher burnout.

Conclusion: Teachers' social-emotional competence and teaching efficacy, as crucial individual resources, can mitigate teachers' occupational burnout through dual pathways: "social-emotional competence, occupational burnout" and "social-emotional competence, teaching efficacy, occupational burnout". This study provides both theoretical insights and practical implications for reducing teachers' occupational burnout by strengthening teachers' social-emotional competence and teaching efficacy.

Context: Although numerous studies have shown that urban riverside greenways benefit mental health, the mechanisms through which landscape design, particularly ecological design, and influences psychological restoration remain underexplored.

Objectives: This study addresses this gap by investigating the potential nonlinear effects of design elements (including plant design, ecological design, path design, and facility design across four dimensions and 17 indicators) on psychological restoration. Specifically, exploring the impact of various elements on psychological restoration and assesses the differences in the contributions of each design dimension to psychological restoration.

Methods: This study focuses on the Hangzhou section of the Beijing-Hangzhou Grand Canal, tracking 1,052 questionnaires to collect data on design element evaluations and psychological restoration perceptions.

Results: The results show that: (1) in landscape design, the combination of plant design, ecological design, and facility design significantly outperforms any single element or two-element combinations in terms of restorative effects, demonstrating a synergistic effect; (2) in terms of specific mechanisms, plant color, permeable pavements, and facility quality exhibit a U-shaped relationship with psychological restoration, while ecological revetments show an inverted U-shaped relationship; (3) vegetation coverage, plant color, and resting facilities are key factors in promoting psychological restoration.

Conclusion: This study reveals the synergistic and nonlinear effects of landscape design in urban riverside greenways on psychological restoration, providing valuable design dosage references for urban planners and designers. It offers important insights for the future design of urban riverside greenways that harmonize landscape and human health.

Waste from the construction sector is a significant component of the global waste composition of many continents. There is a lack of research on the attitude and behavior of workers toward recycling. Although changing workers' attitudes and behaviors toward recycling in attaining sustainable waste management in the construction industry is a tall order, it is crucial to identify. So, the aim of this study is to comprehensively understand workers' psychology by emphasizing new factors that can measure their intention to recycle and recycling behavior using the extended Theory of Planned Behavior. This study selects workers of the construction industry of China to assess their recycling behavior by testing the relationships among the proposed study model variables. Past research based on the Theory of Planned Behavior (TPB) seldom offers new determinants, such as consequences/Outcomes of Recycling (COR), or investigates demographic factors (age, experience, and gender). This leaves a gap in comprehending the psychological and contextual frames behind recycling in the construction industry. A total of 359 respondents, including Chinese workers, were surveyed and returned the data for further analysis using SPSS and AMOS. The statistical techniques employed are the confirmatory factor analysis. The findings of this study revealed that attitude, perceived behavioral control, and consequences of recycling significantly influenced intention to recycle and recycling behavior among the construction workers. Notably, subjective norms and past recycling behavior were not significant predictors. Moreover, age and experience also significantly influenced the recycling behavior, while gender did not. The study's main contribution lies in extending the TPB framework within the context of the Chinese construction industry, introducing and validating new determinants (COR, CS) that provide a deeper psychological understanding of recycling behavior. Practically, the results prioritize critical elements for stakeholders, suggesting that managerial and policy interventions should focus on cultivating positive attitudes, enhancing perceived control through infrastructure and support, and leveraging outcome awareness, particularly among younger and less experienced workers, to bridge the implementation gap in construction waste recycling.

Introduction: The prediction of general health outcomes, such as life satisfaction and psychological wellbeing, by the Big Five personality traits is improved by additionally considering Sense of coherence (SOC). This study aims to examine whether SOC mediates the association of Big Five personality traits and Sexual satisfaction as psychological facet of sexual health.

Methods: N = 206 German adults (aged 18-60) answered items on socio-demography and sexual orientation/behavior, the short Big Five Inventory (BFI-K), the SOC-L9 and the self-centered subscale of the New Sexual Satisfaction Scale (NSSS-E) in an online survey. Confirmatory factor analysis (CFA) and structural equation modeling were used (maximum likelihood estimation).

Results: Model modifications ensured satisfactory to good CFA model fits for the BFI-K, SOC-L9 and NSSS-E (CFI = 0.972-0.992; RMSEA = 0.024-0.072). In particular, the SOC-L9 items had to be assigned to the two newly defined sub-factors Sense of meaningfulness and manageability (SOC-MM) and Sense of comprehensibility (SOC-CP). Sexual satisfaction proved to be a second-order factor underlying the first-order components Intensity, Emotionality and Orgasm. 20% of the variance in Sexual satisfaction can be predicted by SOC-MM (β = 0.57, p < 0.001; CFI = 0.940; RMSEA = 0.051), in particular. The predictive power of the Big Five-facets Neuroticism and Openness is fully mediated by SOC-MM (Δχ² _{df = 5} = 9.035, p = 0.108). Living in a partnership corresponds to higher SOC-MM and Sexual satisfaction. Being heterosexual also corresponds to enhanced SOC.

Discussion: The association of the Big Five personality traits and Sexual satisfaction can be considered as fully mediated by SOC-MM. The link between SOC-MM for satisfaction with sexual experience and behavior thus appears to be essential in order to improve the understanding and promotion of Sexual satisfaction and health.

Objective: Past research has shown support for a positive relationship between cognitive disruption and self-talk frequency in response to specific situations. In this paper, we report three studies that examine further the cognitive disruption and self-talk frequency hypothesis among college students. We sought to identify facets of decreased or increased cognitive disruption that should be associated with either less or more frequent self-talk.

Methods: In Study 1, participants (N = 262) completed measures of self-talk, weak sense of self, and mindful awareness. In Study 2, frequent and infrequent self-talk participants (N = 54) completed measures of dissociative tendencies and self-control. In Study 3, participants (N = 224) completed self-talk, positive and negative automatic thoughts, antisocial personality, and psychopathy measures.

Results: Study 1 results showed that, as expected, individuals with a weaker sense of self and lower levels of mindful awareness reported higher frequencies of self-talk. Study 2 results showed that frequent self-talkers reported significantly more dissociative experiences and higher levels of self-control than infrequent self-talkers. Study 3 results showed that higher antisocial personality and psychopathy scores were significantly related to more frequent negative and self-critical self-talk.

Conclusion: These studies provide strong support for the hypothesis that instances of cognitive disruption are associated with an increased likelihood of self-talk in response to specific situations. We also showed that factors that should be associated with reduced cognitive disruption were associated with less frequent self-talk. We discuss the implications of these findings for future research in personality psychology.

Artificial Intelligence (AI) is increasingly deployed in English-as-a-foreign-language (EFL) education, offering adaptive feedback, automated evaluation, and personalized learning pathways. However, existing research overwhelmingly emphasizes AI adoption and performance benefits, while largely overlooking what happens when AI systems fail to meet learner expectations and how learners recover from such failures. As a result, the cognitive-affective processes through which expectation violations translate into disengagement-or are mitigated through recovery-remain under-theorized and empirically unexplored. Addressing this gap, this study proposes and tests a cognitive-affective recovery model of learner engagement in AI-supported EFL contexts. Drawing on Expectation Violation Theory (EVT), Cognitive Appraisal Theory (CAT), and Digital Divide/Resilience Theory, the model explains how expectation violations influence engagement and how cognitive reappraisal and trust recovery mediate this relationship, while digital grit conditions learners' ability to persist following setbacks. A two-wave survey of 298 Chinese EFL learners from urban and rural settings, including both university students and private institute learners, was analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). Results show that expectation violations significantly reduce learner engagement, but perceived AI adaptivity narrows the adaptation gap and activates recovery processes. Cognitive reappraisal and trust recovery emerged as key mediating mechanisms, while digital grit moderated critical pathways by sustaining engagement under adverse conditions. By shifting the focus from AI success narratives to failure-and-recovery dynamics, this study advances theory on AI-learner interaction and offers practical guidance for designing resilient, trust-sensitive, and equity-oriented AI systems in language education.