Behavioral Sciences最新文献

{"title":"Artificial Intelligence and Employee Innovation: A Literature Review.","authors":"Xi Cun, Liangbo Zhang, Jifan Ren","doi":"10.3390/bs16101890","DOIUrl":"https://doi.org/10.3390/bs16101890","url":null,"abstract":"<p><p>Artificial intelligence (AI), particularly generative AI, is increasingly embedded in knowledge work, creative work, customer service, product development, human resource management, and organizational decision systems. Although research shows that AI can raise productivity, support creative output, accelerate searching, and reorganize innovation work, the evidence remains fragmented across innovation management, organizational behavior, information systems, human resource management, economics, human-computer interaction, and behavioral sciences. This framework-based review synthesizes high-quality English-language journal articles on AI, human-AI collaboration, employee creativity, innovative work behavior, algorithmic management, and innovation management. Building on established models of individual innovation, it develops a worker-centered framework linking four innovation stages with three higher-order AI functions: task execution, knowledge support, and organizational governance. The evidence is strongest for searching, idea generation, creativity, and short-term task performance, and remains limited for idea promotion, implementation, diffusion, and realized innovation outcomes. The synthesis identifies three central tensions: performance equalization versus capability differentiation, short-term quality versus long-term capability development, and individual improvement versus collective homogenization. AI can enhance innovation-related work through cognitive expansion, search acceleration, productivity release, recombination, feedback, and learning, but it can also reduce output diversity, weaken expertise development, intensify work, increase dependence, and shift managerial control over creative labor. The review positions AI as both a cognitive resource and an innovation-governance mechanism and outlines directions for future research on mechanisms, heterogeneity, novelty, capability accumulation, and responsible governance.</p>","PeriodicalId":8742,"journal":{"name":"Behavioral Sciences","volume":"16 10","pages":""},"PeriodicalIF":3.2,"publicationDate":"2026-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149261361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Beyond Location Probability: Neural Correlates of Feature-Spatial Mapping Learning in Visual Search.","authors":"Jiahui Zhang, Hanxu Wang, Jiahuan Chen, Guang Zhao","doi":"10.3390/bs16101880","DOIUrl":"https://doi.org/10.3390/bs16101880","url":null,"abstract":"<p><p>Visual statistical learning enables humans to extract regular information from the environment, thereby optimizing the allocation of attentional resources. Previous studies have demonstrated that the visual system can learn the spatial probability of target occurrence and feature-specific spatial regularities for distractors. It remains unclear how target feature-location contingencies guide search when high-probability locations have equal overall target probability, or how such learning is reflected in ERP activity. The present study used a visual search paradigm that manipulated target-location probability and feature-spatial matching relationships, while simultaneously recording EEG data. Behavioral results showed that reaction times were significantly faster when targets appeared at feature-matched high-probability locations than when they appeared at feature-mismatched high-probability locations or low-probability locations. However, analyses by target feature showed that the feature-matching advantage was observed for color targets but not for shape targets. Electrophysiological results showed no significant differences in N2pc amplitude among the three conditions; when averaged across target features, LPC amplitudes were significantly smaller in both high-probability location conditions than in the low-probability location condition, but did not differ significantly between feature-matched and feature-mismatched high-probability locations when averaged across target features. These findings provide evidence that feature-spatial statistical regularities can influence visual search, while the feature-matching advantage was specific to color targets in the present study.</p>","PeriodicalId":8742,"journal":{"name":"Behavioral Sciences","volume":"16 10","pages":""},"PeriodicalIF":3.2,"publicationDate":"2026-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149261319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Longitudinal Association Between Disability and Loneliness Among Older Adults in China: An Urban-Rural Comparative Analysis.","authors":"Hongyu Wang, Xiaocong Zhang","doi":"10.3390/bs16101879","DOIUrl":"https://doi.org/10.3390/bs16101879","url":null,"abstract":"<p><p>Loneliness is a major mental health concern among older adults and has been increasingly linked to functional decline in later life. This study aimed to inform targeted care strategies by exploring urban-rural differences in the longitudinal association between disability and loneliness among older adults in China. Data were obtained from 6654 adults aged 60 and older across three waves (2016, 2018, 2020) of the China Longitudinal Aging Social Survey (CLASS). Disability was measured with Activities of Daily Living (ADL) scale, and loneliness was measured with self-report items. Cross-lagged panel models (CLPMs) were constructed separately to examine the longitudinal associations for urban and rural older adults. Rural older adults reported higher levels of loneliness than urban older adults, and older women reported higher levels of loneliness than older men. Loneliness predicted increased disability at subsequent waves in urban and rural older adults. Disability predicted increased loneliness at subsequent waves only among rural older adults, not among urban older adults. Disability and loneliness were longitudinally associated among older adults in China, with notable urban-rural differences. Integrated physical and psychological interventions are critical in rural areas, whereas strategies should prioritize early loneliness screening to prevent subsequent functional decline in urban areas.</p>","PeriodicalId":8742,"journal":{"name":"Behavioral Sciences","volume":"16 10","pages":""},"PeriodicalIF":3.2,"publicationDate":"2026-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149261497","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Role of Self-Esteem in Parent-Child Conflict and Problematic Smartphone Use Among Adolescents: A Three-Wave Cross-Lagged Study.","authors":"Shuang Lin, Ziyi Luo, Yongjian Li, Jing Sheng, Lijun Chen, Huifang Yang, Jiamin Liang, Jun Chen","doi":"10.3390/bs16101881","DOIUrl":"https://doi.org/10.3390/bs16101881","url":null,"abstract":"<p><p>Although prior research has linked parent-child conflict to problematic smartphone use (PSU), most evidence is cross-sectional, leaving the directionality unclear. Guided by the Interaction of Person-Affect-Cognition-Execution (I-PACE) model, this three-wave longitudinal study examined the reciprocal links between parent-child conflict and PSU and the mediating role of self-esteem. Chinese adolescents (N = 1368; 40% female; Mage = 16.05, SD = 0.85 at baseline) completed self-report measures of parent-child conflict, self-esteem, and PSU at six-month intervals. Cross-lagged panel models (CLPMs) were the primary analysis, and random-intercept CLPMs (RI-CLPMs) served as a sensitivity analysis. CLPMs showed bidirectional predictions between parent-child conflict and PSU, with T2 self-esteem mediating both indirect paths. RI-CLPMs revealed significant between-person associations among parent-child conflict, self-esteem, and PSU; at the within-person level, only T1 parent-child conflict prospectively predicted T2 PSU, whereas the reverse path and within-person mediation were not significant. These findings suggested that the longitudinal link between parent-child conflict and PSU may partly reflect stable between-person differences, with only limited within-person prospective evidence for a conflict-to-PSU pathway.</p>","PeriodicalId":8742,"journal":{"name":"Behavioral Sciences","volume":"16 10","pages":""},"PeriodicalIF":3.2,"publicationDate":"2026-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149261486","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modeling the Interplay of Time, Space, Users, Topics, and Sentiment: A Novel Analytical Framework for Social Media Data Analysis.","authors":"Wenjing Gui, Xuefan Dong, Chen Wang, Shuai Chen, Wei Zhang","doi":"10.3390/bs16101876","DOIUrl":"https://doi.org/10.3390/bs16101876","url":null,"abstract":"<p><p>This study addresses the gap in existing social media discourse research, which often treats time, space, users, topics, and sentiment in isolation. It proposes an integrated analytical framework to capture the interplay among these five dimensions, using an online controversy involving Nongfu Spring as an illustrative case to demonstrate the framework's applicability. A multi-method approach combines temporal, spatial, and user classification analysis; deep learning-based sentiment analysis via a fine-tuned Chinese-BERT-wwm-ext model; and influential keyword identification using Graph Attention Network and improved TextRank algorithms. The framework is applied to 12,674 Weibo posts related to this controversy. Posts clustered temporally around key discussion periods, spatially concentrated in economically developed regions, and, while ordinary users produced the majority of posts, verified institutional and high-influence individual accounts became increasingly prominent in the later phases of the discussion. The integrated analysis reveals joint patterns across dimensions, such as the marked shift in user composition over the course of the crisis, that single-dimension analyses alone would not reveal. The study contributes a reusable framework for the multidimensional analysis of online discourse and illustrates its applicability through a single case; its generalizability across platforms and event types remains to be tested in future research.</p>","PeriodicalId":8742,"journal":{"name":"Behavioral Sciences","volume":"16 10","pages":""},"PeriodicalIF":3.2,"publicationDate":"2026-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149261519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Economic Status and Decision-Making Behavior: The Cost of Cognitive Control.","authors":"Jiachen Lu, Jinting Qiu, Yiwen Li, Yue Cao, Chunyu Li, Yafei Dou","doi":"10.3390/bs16101877","DOIUrl":"https://doi.org/10.3390/bs16101877","url":null,"abstract":"<p><p>Economic poverty entails material deprivation and life unpredictability, imposing heavier external constraints on low-income individuals' goal pursuit than on their higher-income counterparts. We hypothesized that relative economic disadvantage fosters situation-driven decision-making among lower-income groups, which consumes cognitive resources and may impair performance in other cognitive domains. Two experiments were conducted. Experiment 1 (<i>n</i> = 41) used a pre/post Stroop task design around a product choice task to examine cognitive control changes; Experiment 2 (N = 903, online) examined decision-making tendencies using a similar product choice task. In Experiment 1, income percentile was marginally and negatively associated with post-task cognitive-control decline (i.e., lower-income participants tended to show greater decline) (<i>β</i> = -0.31, <i>p</i> = 0.05) and was not significantly correlated with decoy susceptibility (<i>ρ</i> = -0.23, <i>p</i> = 0.15); the directions of both associations were consistent with our predictions. Because the sample was small and the study was explicitly exploratory, these results should be regarded as preliminary rather than conclusive. Experiment 2 showed that lower-income participants showed significantly higher decoy susceptibility (<i>β</i> = -0.22, <i>p</i> < 0.001) and significantly slower decisions (<i>β</i> = -0.24, <i>p</i> < 0.001). Taken together, the well-powered results of Experiment 2, together with the directionally consistent pattern of Experiment 1, indicate that economic disadvantage is associated with greater reliance on external contextual cues and greater cognitive expenditure during decision-making. Because Experiment 2 did not include a direct measure of cognitive control, whether such decision styles in turn impair subsequent cognitive control awaits direct testing.</p>","PeriodicalId":8742,"journal":{"name":"Behavioral Sciences","volume":"16 10","pages":""},"PeriodicalIF":3.2,"publicationDate":"2026-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149261327","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Self-Perceived Knowledge, Self-Efficacy, and Reported Integration of Generative Artificial Intelligence Among University Faculty: An Exploratory Profile Analysis.","authors":"Graciela Castro-Castillo, Víctor Bosquez-Barcenes, Mariuxi Vinueza-Morales, Cristian Vidal-Silva","doi":"10.3390/bs16101878","DOIUrl":"https://doi.org/10.3390/bs16101878","url":null,"abstract":"<p><p>Generative artificial intelligence (GAI) adoption in higher education raises questions about the relationships among perceived knowledge, confidence, attitudes, and reported teaching practices. A cross-sectional study of 149 faculty members at an Ecuadorian public university examines four self-reported constructs, with Cronbach's α ranging from 0.841 to 0.981. An exploratory three-group partition describes higher-scoring (44.3%), intermediate-scoring (39.6%), and lower-scoring (16.1%) respondents, although the silhouette criterion favors two groups (0.383 versus 0.299). Self-efficacy correlates with reported integration (r=0.812; approximate 95% CI [0.749, 0.860]). A complementary three-predictor regression reconstructed from the reported correlation matrix yields R2=0.668 and a self-efficacy coefficient of β=0.758 (approximate 95% CI [0.630, 0.885]). This model excludes demographic and frequency covariates and does not replace the original adjusted analysis. Reconstructed aggregate counts show an association between profile and grouped use frequency (conditional Monte Carlo p=0.0037), whereas the gender association remains inconclusive (p=0.089). Measurement overlap, self-reporting, and unverified cluster stability limit interpretation. Normalizing response ranges does not establish that faculty practice more than they know. The results support evaluating faculty development that combines conceptual and critical AI literacy with GAI-specific self-efficacy; causal effectiveness remains untested.</p>","PeriodicalId":8742,"journal":{"name":"Behavioral Sciences","volume":"16 10","pages":""},"PeriodicalIF":3.2,"publicationDate":"2026-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149261559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Impact of Configurational Fit of Product and Service on Customer Decision-Making: Evidence from an Event-Related Potential Experiment.","authors":"Meina Zhao, Mingming Xu","doi":"10.3390/bs16101872","DOIUrl":"https://doi.org/10.3390/bs16101872","url":null,"abstract":"<p><p>Artificial intelligence provides new approaches for smart product-service systems. As such, an increasing number of service-oriented manufacturing enterprises are leveraging artificial intelligence (AI) to achieve value co-creation with customers. In the process of intelligently matching additional services to products, measuring the congruity of product-service systems remains to be explored. This study employs an event-related potential (ERP) methodology to examine how product-service congruity influences customer purchase intentions associated with cognitive processing. ERPs elicited by high-congruity product-service combinations were significantly different from low-congruity combinations. By proposing a method to determine product-service congruity, this study provides insights for matching product-service combinations in an AI-driven context. These findings can guide the delivery of enhanced personalized product-service combinations in platform economies and AI ecosystems, enabling enterprises to achieve value co-creation.</p>","PeriodicalId":8742,"journal":{"name":"Behavioral Sciences","volume":"16 10","pages":""},"PeriodicalIF":3.2,"publicationDate":"2026-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149261406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Study on the Factors Associated with College Students' Intention to Use AI-Based Mental Health Services: The Roles of Trust, Empathy, and Privacy Concern.","authors":"Meng Fan, Xiaowei He, Mengyuan Zhou, Tiansheng Xia","doi":"10.3390/bs16101874","DOIUrl":"https://doi.org/10.3390/bs16101874","url":null,"abstract":"<p><p>Artificial intelligence technology is gradually being integrated into mental health service contexts and is increasingly discussed as a potential supplementary resource to university mental health support systems. However, AI-based mental health services involve sensitive factors such as emotional expression, personal privacy, and relational interaction. Therefore, college students' willingness to accept AI-based mental health services and the potential factors associated with such acceptance remain unclear. Based on an extended Technology Acceptance Model, this study introduces six factors-Accessibility (ACC), Privacy Concern (PC), Perceived Anthropomorphism (PA), Perceived Empathy (EMP), Trust (TRU), and Perceived Usefulness (PU)-to systematically examine their relationships with university students' Behavioral Intention (BI) to use AI-based mental health services. A total of 375 volunteers participated in the current study and completed relevant questionnaires. Structural equation modeling was employed for data analysis. The results indicate that accessibility, perceived usefulness, and trust are all significantly and positively associated with behavioral intention. Perceived empathy is significantly and positively associated with trust, whereas privacy concern is significantly and negatively associated with both trust and behavioral intention. The analysis of indirect effects shows that there is a significant sequential indirect association between perceived anthropomorphism and behavioral intention through perceived empathy, trust, and perceived usefulness. In addition, a significant negative indirect association between privacy concern and behavioral intention through trust was observed. The findings indicate that, in the highly sensitive context of mental health services, college students' intention to use AI-based mental health services is associated with a combination of accessibility, perceived usefulness, emotional interaction experience, privacy-related evaluations, and trust.</p>","PeriodicalId":8742,"journal":{"name":"Behavioral Sciences","volume":"16 10","pages":""},"PeriodicalIF":3.2,"publicationDate":"2026-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149261349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Parental Phubbing and Preschoolers' Eating Problems: The Roles of Family Cohesion and Parental Dispositional Mindfulness in Picky Eating and Problematic Mealtime Behaviors.","authors":"Yingjiao Chen, Ruwen Liang, Limin Zhang","doi":"10.3390/bs16101875","DOIUrl":"https://doi.org/10.3390/bs16101875","url":null,"abstract":"<p><p>Grounded in family systems theory, this study examined associations between parental phubbing and two forms of preschoolers' eating problems (picky eating and problematic mealtime behaviors) and the roles of family cohesion and parental dispositional mindfulness in these associations. Using a cross-sectional design, data were collected from 550 parents of preschoolers in Guangzhou, China. In a joint multivariate moderated mediation model, parental phubbing was positively associated with both outcomes at the bivariate level. At mean dispositional mindfulness, its adjusted direct association was significantly stronger for problematic mealtime behaviors than for picky eating. Supplementary simple mediation analyses indicated indirect associations through family cohesion for both outcomes. In the primary moderated model, however, the conditional indirect association through family cohesion was not statistically different from zero for picky eating at low, mean, or high mindfulness, whereas it was evident for problematic mealtime behaviors at mean and high mindfulness. Formal between-outcome differences in the cohesion-related indirect associations and indices of moderated mediation were not significant. Contrary to the hypothesized buffering pattern, higher dispositional mindfulness was associated with a stronger negative phubbing-cohesion association. Overall, the findings highlight modest and differentiated associations between parental phubbing and preschoolers' eating difficulties and underscore the importance of considering parental technology use within the broader family-relational context.</p>","PeriodicalId":8742,"journal":{"name":"Behavioral Sciences","volume":"16 10","pages":""},"PeriodicalIF":3.2,"publicationDate":"2026-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149261529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}