Acta Psychologica最新文献

Previous investigations have shown pitch-based correspondences with various perceptual and conceptual attributes. The present study reveals two novel pitch-based correspondences with highly abstract concepts. Three experiments with varying levels of implicitness of the association task showed that the concepts of future and in are associated with high-pitch sounds, while past and out are associated with low-pitch sounds. Hence, pitch-based correspondences can be observed even with temporal concepts that cannot be unambiguously represented in any perceptual format, at least, without spatial metaphorization. The correspondence effects were even more robust with the abstract temporal concepts of future/past than with more concrete spatial concepts of in/out. We propose that these effects might emerge from semantic multimodal abstraction processes mediated by affective dimensions of particular concepts.

With the rapid pace of global urbanization, preserving natural landscapes has become increasingly critical. However, urbanization presents significant environmental risks worsened by decreased ecological consciousness. This has led to a pressing demand for education in landscape conservation. While university curricula begin to focus on this area, the shortcomings of conventional teaching methods are apparent, especially in technology-supported learning. Therefore, it is crucial to incorporate cutting-edge technologies to devise novel educational strategies that improve students' learning experiences and achievements. Based on the relevant variables from the UTAUT model, coolness theory, and flow theory, this study constructs a structural equation model to assess students' intention to continue using SVVR teaching materials. The model includes external factors like performance expectancy, effort expectancy, perceived sustainability, self-efficacy, flow, and perceived coolness. A survey of 382 students was conducted, and the data were analyzed using structural equation modeling (SEM). Results indicated that: 1) students' intention to use SVVR educational resources is significantly affected by their attitude and flow; 2) performance expectancy, effort expectancy, perceived coolness, perceived sustainability, and self-efficacy have a positive impact on attitude, whereas flow does not directly affect attitude, and 3) there is a positive relationship between self-efficacy and flow. These insights are instrumental in developing and implementing SVVR educational materials for landscape conservation classes. They confirm the utility of the expanded UTAUT model, providing a methodological framework for its use in similar settings.

This study delved into the complex interplay between self-efficacy, achievement goals, positive emotions, and affective engagement among university students in China. To achieve this, a stratified random sampling technique was employed, resulting in a sample of 391 students from four geographically distinct universities across China. The data collection relied on self-reported questionnaires that measured academic self-efficacy, goal orientation (specifically focusing on mastery versus performance goals), positive emotions, and various aspects of affective engagement, including enjoyment, satisfaction, and interest in learning. Structural equation modeling (SEM) served as the primary statistical tool to analyze the hypothesized relationships between these variables. The analysis revealed a network of positive associations, indicating that students with higher levels of self-efficacy and positive emotionality reported experiencing greater affective engagement in their academic pursuits. Furthermore, a stronger mastery goal orientation was associated with increased enjoyment, satisfaction, and interest in learning. Self-efficacy and positive emotionality also indirectly influenced affective engagement through goal orientation, suggesting that students with higher self-belief and positive emotions were more likely to adopt mastery goals, leading to more positive learning experiences. This study highlights the importance of self-efficacy, positive emotionality, and goal orientation in shaping students' affective engagement. By fostering these factors, educators can create more positive and engaging learning environments for university students.

Prior studies highlight the importance of academic buoyancy and adaptability in educational trajectories, yet the influence of family-related factors remains less explored. Anchored in Bronfenbrenner's ecological systems theory, this research examines how family socioeconomic status (SES) influences academic buoyancy and adaptability, the predictive relation between family SES and parental involvement, and whether parental involvement mediates the impact of family SES on academic outcomes. We surveyed 1164 junior high school students from China. Controlling for gender and attendance type, structural equation modelling revealed a positive correlation between family SES and students' academic buoyancy and cognitive-behavioural adaptability; however, this correlation did not extend to affective adaptability. Parental involvement was significantly linked to family SES and fully mediated the relation between family SES and both academic buoyancy and cognitive-behavioural adaptability. Based on these findings, practical implications are discussed.

In recent years, the prevalence of bullying among university students in Indonesia has continued to increase. The consequences of bullying have detrimental effects on the victims, highlighting the importance of finding ways to reduce bullying behavior. However, few studies have explored the factors that can mitigate this behavior among students. Therefore, this paper aims to analyze which determinants significantly affect the reduction of bullying behavior, with a particular focus on gender differences. This research utilizes the Theory of Planned Behavior (TPB) along with theories of parent-child relationships (PCR), teacher-student relationships (TSR), and peer relationships (PR) to explain bullying behavior. The study successfully collected data from 435 students in Riau, Indonesia. The results indicate that PCR and PR are key in enhancing students' attitudes towards bullying. As students' attitudes improve, bullying behavior can significantly decrease. This study successfully developed a research model to reduce bullying behavior. The findings suggest that fostering positive peer interactions and supportive parent-child dynamics are essential. Schools can apply these insights by promoting peer support systems and conflict resolution programs to reduce bullying. This study highlights the critical role of nurturing peer relationships within educational strategies to effectively address bullying behaviors.

In the context of China's ongoing industrial revolution and technological transformation, there is a growing demand for advanced energy management solutions and the increasing role of artificial intelligence in various industries. This paper aims to explore how artificial intelligence (AI) and Energy Storage Technology (EST) interact and co-evolve. Utilizing a full-sample Granger causality test, we identified significant interactions between AI and EST. Afterwards, we further revealed their dynamic influence relationship using advanced sub-sampling techniques. Quantitative analysis indicates that AI positively influences EST by optimizing energy management systems, with an improvement of 15 % in efficiency, and by enhancing the intelligence level of energy storage. However, there are also negative effects, such as a 10 % increase in operational risks due to over-reliance on AI. Similarly, EST facilitates the development of AI by providing a stable energy supply. AI and EST, like the intelligent brain and the energy heart, require mutual dependence for stable development. In context of the industrial revolution and technical advancement, this study provides meaningful recommendations. Strengthening technological research and innovation support, optimizing energy policies, and enhancing standardization will promote the deep integration and synergistic development of AI and EST. This will provide significant impetus for China's technological advancement and economic development, aiding in the achievement of sustainable development goals.

Both personality traits and colour saturation are associated with emotion; however, how colour saturation preference interacts with different traits and whether this interaction is modulated by object-colour relations remains unclear. In this study, we examined the impact of object-colour relations on colour saturation preference and the relative importance of each personality trait in predicting this preference. Sixty Chinese college students were recruited and registered based on their preferred colour saturation of an object displayed on a computer screen. Random Forest regression analysis in machine learning was applied to ascertain the relative importance of different traits. The results showed that the preferred colour saturation for different objects ranged from high to low: unreal, natural, and artificial. Random Forest regression analysis indicated that personality traits can accurately predict saturation preferences. Specifically, Openness, Extraversion, and Neuroticism are more crucial than Agreeableness and Conscientiousness for objects, while Agreeableness and Openness are the key traits across the three colour hues. Colour saturation preference is also influenced by object-colour association, with each personality trait playing a unique role in this preference due to its relationship with emotions.

Using economic games, this study explore how perceptions of trust are influenced by variables such as facial hair style, age, and attractiveness. The aim was to investigate the impact of facial characteristics on financial decisions related to trust. To achieve this, the study conducted a controlled trust experiment in a laboratory setting, manipulating the age and types of facial hair of the individuals being trusted. The findings reveal that a light stubble beard enhances perceived attractiveness, leading to an increase in trust, albeit not uniformly across all participants. In contrast to existing literature, which suggests that all forms of facial hair enhance trust and perceived attractiveness for all males, this study establishes that such effects are confined to young individuals sporting light stubble beards. Additionally, its insights hold significance for professionals such as managers, salespersons and otheers who often rely on visible physical attributes to establish and cultivate trusting relationships.

Facial emotion recognition (FER), a key component of social cognition, plays a critical role in social interactions. In the aging process, FER among older adults holds significant potential as a tool for diagnosing cognitive function or enhancing interpersonal relationships. However, research in this area remains limited. This study aims to address this gap by examining the impact of cognitive function on FER among Korean baby boomers aged 60 to 69. Eighty-one participants completed the Korean version of the Montreal Cognitive Assessment (K-MOCA) and FER tasks. Of the participants, 69 % had normal cognition, while 31 % had mild cognitive impairment. Participants with normal cognition were 1.59 times more likely to recognize facial expressions correctly than those with impaired cognition (AOR = 1.59, p < 0.0001). They showed significantly higher odds of recognizing happy (AOR = 9.68), anger (AOR = 2.25), disgust (AOR = 1.95), neutral (AOR = 3.02), and surprise (AOR = 2.27) expressions (p < 0.001). Participants with normal cognition participants also scored higher on overall intensity for every emotion except sadness (p < 0.001). Among the seven domains of the MoCA, three sub-domains-visuospatial/executive function, language, and orientation-showed significant associations with overall FER. These results highlight the diagnostic potential of FER tasks in identifying cognitive disorders and enhancing social skills in clinical and practical settings.

We describe the difficulties of measuring variability in performance, a critical but largely ignored problem in studies of risk perception. The problem seems intractable if a large number of successful and unsuccessful trials are infeasible. We offer a solution based on estimates of task-specific variability pooled across the sample. Using a dataset of adult performance in throwing and walking tasks, we show that mischaracterizing the slope leads to unacceptably large errors in estimates of performance levels that undermine analyses of risk perception. We introduce a "pooled-slope" solution that approximates estimates of individual variability in performance and outperforms arbitrary assumptions about performance variability within and across tasks. We discuss the advantages of objectively measuring performance based on the rate of successful attempts-modeled via psychometric functions-for improving comparisons of risk across participants, tasks, and studies.