Search Results (589)

Background: Air traffic control is a stressful job and vital to aviation safety. Although technological developments have been introduced to enhance and facilitate the tasks of air traffic control officers (ATCOs), ATCOs still experience high levels of job stress. This study explores the influence of mindfulness and social work support (SWS) on the job performance and job stress of ATCOs in Saudi Arabia. Methods: Grounded in Job Demands–Resources (JDR) theory, this study used a cross-sectional design to survey 324 ATCOs, with a 72% response rate. Mindfulness and SWS were treated as individual and situation-specific resources that influence stress and performance outcomes. Results: The results indicated that mindfulness could reduce workplace stress and improve performance. Moreover, SWS was also critical in reducing the adverse impacts of stress on job performance, reflecting the buffering effect posited by JDR theory. Conclusions: This study demonstrates that JDR theory is applicable to the context of ATC since it validates the importance of mindfulness and SWS as critical resources in minimizing stress levels and improving performance. The findings have implications for the viability of mindfulness-based training interventions and peer-support programs in supporting the health of ATCOs and their ability to deal with highly stressful situations. Full article

The understanding of hidden emotions—situations in which individuals deliberately express an emotion different from what they genuinely feel—is a key skill in theory of mind (ToM) development. This ability allows children to reason about discrepancies between internal emotional states and external expressions and is closely tied to linguistic development, particularly vocabulary related to mental states, which supports complex emotional reasoning. Children who are deaf or hard of hearing (DHH), especially those born to hearing non-signing families and raised in oral language environments, may face challenges in early language exposure. This can impact the development of social and emotional skills, including the ability to understand hidden emotions. This study compares the understanding of hidden emotions in hearing children (n = 59) and DHH children (n = 44) aged 7–12 years. All children were educated in spoken language environments; none of the DHH participants had native exposure to sign language. Participants completed a hidden emotions task involving illustrated stories where a character showed a certain emotion in front of two observers, only one of whom was aware of the character’s true emotional state. The task assessed children’s understanding of the character’s emotional state as well as their ability to reason about the impact of hiding emotions on the beliefs of the observers. The results showed that the hearing children outperformed their DHH peers in understanding hidden emotions. This difference was not attributed to hearing status per se but to language use. Specifically, children’s spontaneous use of cognitive verbs (e.g., think or know) in their explanations predicted task performance across the groups, emphasizing the role of mental state language in emotional reasoning. These findings underscore the importance of early and accessible language exposure in supporting the emotional and social cognitive development of DHH children. Full article

Amid the nationwide promotion of fitness and the rapid expansion of China’s sports industry, enhancing spectator satisfaction in sports consumption has become a crucial driver for the industry’s sustainable development. Based on the theory of mind-flow perception, this paper explores the influence of stadium intelligent design on race consumption satisfaction, focusing on the four dimensions of stadium intelligent application perception, personality design perception, digital development perception, and technology integration perception, introduces the mind-flow experience as a mediating variable to construct a theoretical model, and analyzes the questionnaire data of 641 spectators with structural equation modeling. The results show that each perception dimension of intelligent design of stadiums has a significant positive effect on consumer satisfaction. Among them, intelligent applications enhance convenience and interactivity, individual design stimulates emotional resonance and immersion, and digital development and technological convergence optimize the audience’s interactive experience through augmented reality, the Internet of Things, and other technologies. flow experience serves as a key mediator to transform functional attributes into emotional value and immersion experience, significantly enhancing satisfaction. This study contributes theoretical insights and managerial guidance for the integration of AI-driven design, human–technology interaction, and smart construction strategies in modern sports venues. The results have broader implications for enhancing digital user environments and optimizing the infrastructure for next-generation event-based urban development. Full article

The evolution of the theory of dependent origination in sectarian Buddhism (部派佛教) follows two logical threads: one is the debate on the ontological nature of dharmas, which drove the shift towards a “non-substantiality” (Nairātmyavāda 無體論) interpretation of dependent origination; the other is the discussion of the nature of dependent origination, which led to a shift towards a theory of unconditioned (Asaṃskṛtavāda 無為論). On the ontological nature of dharmas, the Sarvāstivāda (有部), rooted in the doctrine of “substantial existence in three times” (Trikāla-dravyāstitva 三世實有), established a “substantial dependent origination” (有體緣起論), arguing through three principles: self-nature inclusion (自性攝), substance without function (有體無用), and the real existence of causes and conditions (因緣實有). In contrast, schools such as the Mahāsāṃghika (大眾部), Dārṣṭāntika (譬喻師), and Sautrāntika (經量部) introduced theories like the “simultaneous arising of two minds” (二心俱生), “cognition having no object” (緣無境), and “seed-function”, propelling the shift towards a theory of non-substantialism. Concerning the nature of the law of dependent origination, the Sarvāstivāda asserted that “dependent origination is conditioned”, while the Vibhajyavāda (分別說部) pioneered the notion that “dependent origination is unconditioned”, abstracting the law of dependent origination from the phenomenal world into a transcendental existence, initiating a shift towards a theory of unconditioned and giving rise to two interpretative paths: one is the Mahāsāṃghika’s “intrinsic nature of the links of dependent origination” (緣起支性), leading to the construction of the “relational unconditioned” (關係性無為); the other is the Mahīśāsaka’s (化地部) “dependent origination as suchness” (緣起真如), leading to the construction of the “principle-based unconditioned” (理體性無為). The deep interaction of these two turns not only propelled the diverse development of sectarian Buddhism theories of dependent origination but also provided theoretical prototypes for Mahayana Buddhism’s (大乘佛教) theories, such as the theory of “dependent origination under ultimate reality” (實相緣起), “suchness-based dependent origination” (真如緣起), and “innate pure mind dependent origination” (自性清淨心緣起). Full article

Recent advancements in large language models (LLMs) have unlocked the potential for generating high-quality game commentary. However, producing insightful and engaging commentary for complex games with incomplete information remains a significant challenge. In this paper, we introduce a novel commentary method that combines reinforcement learning (RL) and LLMs, tailored specifically for the Chinese card game Guandan. Our system leverages RL to generate intricate card-playing scenarios and employs LLMs to generate corresponding commentary text, effectively emulating the strategic analysis and narrative prowess of professional commentators. The framework comprises a state commentary guide, a Theory of Mind (ToM)-based strategy analyzer, and a style retrieval module, which seamlessly collaborate to deliver detailed and context-relevant game commentary in the Chinese language environment. We empower LLMs with ToM capabilities and refine both retrieval and information filtering mechanisms. This facilitates the generation of personalized commentary content. Our experimental results demonstrate a significant improvement in the system’s effectiveness in generating accurate, coherent, and engaging commentary when applied to open-source LLMs, surpassing GPT-4 across multiple evaluation metrics. Full article

Theory of Mind (ToM) is a construct that includes a range of connected abilities linked to the understanding of others’ mental states. During the last three decades, ToM development has been studied extensively in deaf and hard of hearing (DHH) individuals and performances compared to the typically hearing (TH) population. Given the advances in the early diagnosis of deafness, interventions, and hearing devices over this period, variations in task performance among DHH participants might have been reduced. The current systematic review aims to synthesize all studies of ToM in DHH individuals and answer the following question: Do DHH individuals (Population), compared to a control sample of TH and/or among themselves (Comparator), in an assessment of ToM (Intervention), have differentiated results (Outcome)? After a search of the literature, 97 papers were included. We found that, in general, TH participants outperformed their DHH peers in ToM measures; however, there was a wide range of results. Explanations for this variability included the quality of early interactions and early exposure to both signed and spoken language. The review also indicates that the understanding of false belief was the most studied component within ToM, while other components, such as understanding intention and irony, require further research. Implications of these findings for clinical practice are discussed. Full article

The accurate perception of visual stimuli in human–machine systems is crucial for improving system safety, usability, and task performance. The widespread adoption of digital technology has significantly increased the importance of visual interfaces and information. Therefore, it is essential to design visual interfaces and information with user characteristics in mind to ensure accurate perception of visual information. This study employed the Cognitive Perceptual Assessment for Driving (CPAD) to evaluate and compare gender differences in the ability to perceive visual signals within complex visual stimuli. The experimental setup included a computer with CPAD installed, along with a touch monitor, mouse, joystick, and keyboard. The participants included 11 male and 20 female students, with an average age of 22 for males and 21 for females. Prior to the experiment, participants were instructed to determine whether a signal stimulus was present: if a square, presented as the signal, was included in the visual stimulus, they moved the joystick to the left; otherwise, they moved it to the right. Each participant performed a total of 40 trials. The entire experiment was recorded on video to measure overall response times. The experiment measured the number of correct detections of signal presence, response times, the number of misses (failing to detect the signal when present), and false alarms (detecting the signal when absent). The analysis of experimental data revealed no significant differences in perceptual ability or response times for visual stimuli between genders. However, males demonstrated slightly superior perceptual ability and marginally shorter response times compared to females. Analyses of sensitivity and response bias, based on signal detection theory, also indicated a slightly higher perceptual ability in males. In conclusion, although these differences were not statistically significant, males demonstrated a slightly better perception ability for visual stimuli. The findings of this study can inform the design of information, user interfaces, and visual displays in human–machine systems, particularly in light of the recent trend of increased female participation in the industrial sector. Future research will focus on diverse types of visual information to further validate these findings. Full article

Background/Objectives: According to Embodied Cognition theories, motor skills in early childhood are closely interconnected with various cognitive abilities, including working memory, cognitive flexibility, and theory of mind. These processes are integral components of the multicomponent model of narrative comprehension, which posits that higher-order cognitive functions support the construction of coherent mental representations of narrative meaning. This study aimed to examine whether motor skills directly contribute to narrative comprehension in preschool children or whether this relationship is mediated by cognitive skills. Methods: Seventy-four typically developing children aged 3 to 6 years (47.2% female) participated in this study. Motor skills were assessed using standardized measures, and cognitive abilities were evaluated through tasks targeting working memory, cognitive flexibility, and theory of mind. Narrative comprehension was measured with age-appropriate tasks requiring the understanding and retelling of stories. A structural equation model (SEM) was conducted to test the direct and indirect effects of motor skills on narrative comprehension via cognitive skills. Results: The SEM results indicated a significant direct effect of motor skills on cognitive skills and an indirect effect on narrative comprehension mediated by cognitive abilities. No evidence was found for a direct pathway from motor skills to narrative comprehension independent of cognitive processes. Conclusions: These findings underscore the complex interplay between motor, cognitive, and language development in early childhood. The results suggest that motor skills contribute to narrative comprehension indirectly by enhancing core cognitive abilities, offering novel insights into the developmental mechanisms that support language acquisition and understanding. Full article

The relationship between theory of mind (ToM) or mentalizing, i.e., the cognitive ability to attribute mental states to oneself and others, and language has been widely explored across disciplines. Identifying reliable linguistic markers of ToM extractable from individuals’ speech provides a promising path for both research and clinical practice. In this narrative review, we aimed to synthesize findings from studies identified through a PSYCINFO search to provide an overview of speech-based markers associated with ToM abilities. Our results revealed six primary categories of relevant speech markers: mental state terms, general linguistic ability, embedded clauses, referring expressions, and pragmatic markers. Standardizing these markers could enhance the replicability and applicability of ToM assessments across diverse populations. We encourage future research to build on these findings to examine how mentalizing is expressed through language in varied social, cultural, and clinical contexts. Advancing this line of inquiry will deepen our understanding of the interplay between language and mentalizing and contribute to broader insights into language and cognition. Full article

Background/Objectives: In an increasingly pervasive digital environment, trait boredom has been identified as a key psychological factor in the onset and maintenance of problematic digital technology use. This systematic review aims to investigate the role of trait boredom in digital behavioral addictions, including problematic smartphone use, Internet and social media overuse, and gaming addiction, through theoretical models such as the I-PACE model and the Compensatory Internet Use Theory (CIUT). Methods: A systematic literature search was conducted across multiple scientific databases (PsycINFO, Web of Science, PubMed, and Scopus), yielding a total of 4603 records. Following the PRISMA guidelines after duplicate removal and screening based on title and abstract, 152 articles were assessed for full-text eligibility, and 28 studies met the predefined inclusion and exclusion criteria and were included in the final review. Results: Findings reveal that trait boredom functions as both a direct and indirect factor in problematic technology use. It serves as a mediator and moderator in the relationship between psychological vulnerabilities (e.g., depression, alexithymia, vulnerable narcissism) and dysfunctional digital behaviors. Furthermore, as an independent variable, it has an influence on technological variables through Fear of Missing Out (FoMO), loneliness, low self-regulation, and dysfunctional metacognitions, while protective factors such as mindfulness and attentional control mitigate its impact. Conclusions: Boredom represents a central psychological lever for understanding behavioral addictions in the digital age and should be considered a key target in preventive and therapeutic interventions focused on enhancing self-regulation and meaningful engagement with free time. Full article

Alexithymia is a trait-like deficit in the cognitive processing of emotions, characterized by difficulty identifying and describing feelings, externally oriented thinking, and limited imaginal capacity. It reflects a deficit in emotional intelligence, specifically in the intrapersonal ability to understand and manage one’s own emotional states and to similarly recognize how others might view them. Emotional intelligence has been conceptualized as a distinct form of intelligence that involves emotion-related mental abilities and meets standard psychometric criteria for inclusion within the broader taxonomy of human intelligences. Increasingly, alexithymia is also understood as a failure of affect-focused mentalization, or the ability to perceive emotions in oneself and others as intentional states. This study examined alexithymia using a multi-informant approach to assess intrapersonal and interpersonal emotional awareness. A sample of 211 university students and their informants completed the Toronto Alexithymia Scale (TAS-20), an informant version (TAS-20-IF), and a novel meta-perception version (TAS-20-Meta). Two hypotheses were tested and supported: (1) participants underestimated their alexithymia traits relative to informant ratings and (2) self- and meta-perception ratings were more strongly correlated than either was with informant ratings. These findings support the view that alexithymia reflects deficits in both affective mentalization and a specific domain of human intelligence. Full article

Templestay programs in South Korea represent a unique convergence of Buddhist ritual, cultural immersion, and wellness tourism. While often treated as niche cultural experiences, their broader significance within sustainable wellness tourism remains underexplored. This study examines participant reflections from the Beomeosa Templestay program through thematic analysis of over 600 reviews sourced from TripAdvisor, Google Reviews, and handwritten guestbooks. Using a triangulated framework combining Grounded Theory, Symbolic Interactionism, and the Wellness Tourism Model, the research identifies four recurring experiential themes: spiritual development, emotional healing, cultural immersion, and conscious consumption. Findings reveal cross-cultural variations: non-Korean participants emphasized spiritual exploration and cultural learning, while Korean participants prioritized emotional renewal and reconnection with heritage. Yet, across all groups, participants reported transformative outcomes, including heightened clarity, inner calm, and enhanced self-awareness. These results suggest that Templestays serve as accessible, culturally grounded wellness retreats that align with rising global demand for intentional, mindful travel. This study contributes to sustainable tourism scholarship by framing Templestays as low-impact, spiritually resonant alternatives to commercialized wellness retreats. Practical recommendations are offered to expand participation while maintaining program authenticity and safeguarding the spiritual and cultural integrity of monastic hosts in an increasingly globalized wellness landscape. Full article

The accelerating climate crisis demands innovative approaches that address both systemic drivers of environmental degradation and the psychological barriers to sustained pro-environmental action. Traditional climate communication often relies on fear-based messaging, which risks triggering eco-anxiety, disengagement, or paralysis, ultimately underlying long-term behavioral change. This paper proposes mindfulness as an evidence-based alternative to foster sustained pro-environmental behavior (PEB) by integrating insights from neurocognitive science, self-determination theory (SDT), and social diffusion theory. We present a novel framework outlining five pathways through which mindfulness cultivates PEB: (1) enhanced emotional regulation, (2) intrinsic motivation and value-behavior alignment, (3) nature connectedness, (4) collective action, and (5) cognitive flexibility. Critically, we examine structural barriers to scaling mindfulness interventions—including inequities, commercialization risks, and the individualism paradox—and propose mitigation strategies grounded in empirical research. By bridging contemplative science with sustainability praxis, this work advances SDG-aligned strategies (SDG 12, 13) that prioritize both inner resilience and systemic change. It offers a roadmap for research and practice beyond fear-based approaches. Full article

As artificial intelligence (AI) becomes ubiquitous across various fields, understanding people’s acceptance and trust in AI systems becomes essential. This review aims to identify quantitative measures used to measure trust in AI and the associated studied elements. Following the PRISMA guidelines, three databases were consulted, selecting articles published before December 2023. Ultimately, 45 articles out of 1283 were selected. Articles were included if they were peer-reviewed journal publications in English reporting empirical studies measuring trust in AI systems with multi-item questionnaires. Studies were analyzed through the lenses of cognitive and affective trust. We investigated trust definitions, questionnaires employed, types of AI systems, and trust-related constructs. Results reveal diverse trust conceptualizations and measurements. In addition, the studies covered a wide range of AI system types, including virtual assistants, content detection tools, chatbots, medical AI, robots, and educational AI. Overall, the studies show compatibility of cognitive or affective trust focus between theorization, items, experimental stimuli, and level of anthropomorphism of the systems. The review underlines the need to adapt measurement of trust in the specific characteristics of human–AI interaction, accounting for both the cognitive and affective sides. Trust definitions and measurement could be chosen depending also on the level of anthropomorphism of the systems and the context of application. Full article

Humans are inherently social beings, and the quality of their interactions is essential for maintaining physical and mental health. Effective social interaction involves understanding not just people’s visible behavior but also the underlying factors like thoughts and emotions. This review investigates the convergence and divergence of meta-analytic brain activation for mentalizing, empathy, and social interaction engagement. To achieve this, we re-analyzed data from our prior meta-analysis on mentalizing and empathy using the same methodology as an existing meta-analysis on social interaction engagement. The comparison of brain activation maps focused on the question of whether the co-activation of cognitive and affective brain systems is an overarching characteristic of intermediate mentalizing/empathy tasks and social interaction engagement. Our findings support the general assumption that social interaction engagement co-recruits cognitive and affective brain systems also implicated in mentalizing and empathy. However, we found little direct overlap of brain activation for intermediate mentalizing/empathy tasks and social interaction engagement. Finally, applying a network neuroscience perspective, we suggest that social interaction engagement, affective/empathy, and intermediate mentalizing/empathy tasks are collectively characterized by co-recruitment of the default mode network and control networks. Full article