Nature Human Behaviour最新文献

Charting multidimensional ideological polarization across demographic groups in the USA 绘制美国人口群体中多维意识形态两极分化的图表

IF 29.9 1区心理学

Nature Human Behaviour Pub Date : 2025-07-02 DOI: 10.1038/s41562-025-02251-0

Jaume Ojer, David Cárcamo, Romualdo Pastor-Satorras, Michele Starnini

引用次数: 0

Machine learning-assisted optimization of dietary intervention against dementia risk 机器学习辅助优化饮食干预对抗痴呆风险

IF 29.9 1区心理学

Nature Human Behaviour Pub Date : 2025-07-02 DOI: 10.1038/s41562-025-02255-w

Si-Jia Chen, Hui Chen, Jia You, Shi-Dong Chen, Yan Fu, Wei Zhang, Liyan Huang, Jian-Feng Feng, Xiang Gao, Wei Cheng, Changzheng Yuan, Jin-Tai Yu

{"title":"Machine learning-assisted optimization of dietary intervention against dementia risk","authors":"Si-Jia Chen, Hui Chen, Jia You, Shi-Dong Chen, Yan Fu, Wei Zhang, Liyan Huang, Jian-Feng Feng, Xiang Gao, Wei Cheng, Changzheng Yuan, Jin-Tai Yu","doi":"10.1038/s41562-025-02255-w","DOIUrl":"https://doi.org/10.1038/s41562-025-02255-w","url":null,"abstract":"A healthy diet has been associated with a reduced risk of dementia. Here we devised a Machine learning-assisted Optimizing Dietary intERvention against demeNtia risk (MODERN) diet based on data from 185,012 UK Biobank participants, 1,987 of whom developed all-cause dementia over 10 years. We first identified 25 food groups associated with dementia in a food-wide association analysis. Second, we ranked their importance using machine learning and prioritized eight groups (for example, green leafy vegetables, berries and citrus fruits). Finally, we established and externally validated a MODERN score (0–7), which showed stronger associations with lower risk of dementia-related outcomes (hazard ratio comparing highest versus lowest tertiles: 0.64, 95% CI: 0.43–0.93) than the a priori-defined MIND diet (0.75, 0.61–0.92). Across 63 health-related outcomes, the MODERN diet showed particularly significant associations with mental/behavioural disorders. Multimodal neuroimaging, metabolomics, inflammation and proteomics analyses revealed potential pathways and further support the potential of MODERN diet for dementia prevention.","PeriodicalId":19074,"journal":{"name":"Nature Human Behaviour","volume":"137 1","pages":""},"PeriodicalIF":29.9,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144533024","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Knowledge of information cascades through social networks facilitates strategic gossip 通过社交网络的信息级联的知识促进了战略性的八卦

IF 29.9 1区心理学

Nature Human Behaviour Pub Date : 2025-07-01 DOI: 10.1038/s41562-025-02241-2

Alice Xia, Yi Yang Teoh, Matthew R. Nassar, Apoorva Bhandari, Oriel FeldmanHall

引用次数: 0

A systemic approach to better coordination in science 一种更好地协调科学的系统方法

IF 29.9 1区心理学

Nature Human Behaviour Pub Date : 2025-07-01 DOI: 10.1038/s41562-025-02260-z

Sajedeh Rasti, Krist Vaesen, Daniël Lakens

引用次数: 0

Comparing the value of perceived human versus AI-generated empathy 比较感知到的人类同理心与人工智能产生的同理心的价值

IF 29.9 1区心理学

Nature Human Behaviour Pub Date : 2025-06-30 DOI: 10.1038/s41562-025-02247-w

Matan Rubin, Joanna Z. Li, Federico Zimmerman, Desmond C. Ong, Amit Goldenberg, Anat Perry

{"title":"Comparing the value of perceived human versus AI-generated empathy","authors":"Matan Rubin, Joanna Z. Li, Federico Zimmerman, Desmond C. Ong, Amit Goldenberg, Anat Perry","doi":"10.1038/s41562-025-02247-w","DOIUrl":"https://doi.org/10.1038/s41562-025-02247-w","url":null,"abstract":"Artificial intelligence (AI) and specifically large language models demonstrate remarkable social–emotional abilities, which may improve human–AI interactions and AI’s emotional support capabilities. However, it remains unclear whether empathy, encompassing understanding, ‘feeling with’ and caring, is perceived differently when attributed to AI versus humans. We conducted nine studies (n = 6,282) where AI-generated empathic responses to participants’ emotional situations were labelled as provided by either humans or AI. Human-attributed responses were rated as more empathic and supportive, and elicited more positive and fewer negative emotions, than AI-attributed ones. Moreover, participants’ own uninstructed belief that AI had aided the human-attributed responses reduced perceived empathy and support. These effects were replicated across varying response lengths, delays, iterations and large language models and were primarily driven by responses emphasizing emotional sharing and care. Additionally, people consistently chose human interaction over AI when seeking emotional engagement. These findings advance our general understanding of empathy, and specifically human–AI empathic interactions.","PeriodicalId":19074,"journal":{"name":"Nature Human Behaviour","volume":"5 1","pages":""},"PeriodicalIF":29.9,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144520426","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Reading news on social media boosts knowledge, discernment and trust 在社交媒体上阅读新闻可以提高知识、洞察力和信任

IF 29.9 1区心理学

Nature Human Behaviour Pub Date : 2025-06-27 DOI: 10.1038/s41562-025-02206-5

引用次数: 0

Following news on social media boosts knowledge, belief accuracy and trust 在社交媒体上关注新闻可以提高知识、信念的准确性和信任度

IF 29.9 1区心理学

Nature Human Behaviour Pub Date : 2025-06-27 DOI: 10.1038/s41562-025-02205-6

Sacha Altay, Emma Hoes, Magdalena Wojcieszak

引用次数: 0

People lived high in the mountains in Australia during the last ice age 在最后一个冰河时期，人们住在澳大利亚的高山上

IF 29.9 1区心理学

Nature Human Behaviour Pub Date : 2025-06-27 DOI: 10.1038/s41562-025-02181-x

引用次数: 0

Capturing the complexity of human strategic decision-making with machine learning 用机器学习捕捉人类战略决策的复杂性

IF 29.9 1区心理学

Nature Human Behaviour Pub Date : 2025-06-25 DOI: 10.1038/s41562-025-02230-5

Jian-Qiao Zhu, Joshua C. Peterson, Benjamin Enke, Thomas L. Griffiths

引用次数: 0

In silico discovery of representational relationships across visual cortex 视觉皮层表征关系的计算机发现

IF 29.9 1区心理学

Nature Human Behaviour Pub Date : 2025-06-25 DOI: 10.1038/s41562-025-02252-z

Alessandro T. Gifford, Maya A. Jastrzębowska, Johannes J. D. Singer, Radoslaw M. Cichy

{"title":"In silico discovery of representational relationships across visual cortex","authors":"Alessandro T. Gifford, Maya A. Jastrzębowska, Johannes J. D. Singer, Radoslaw M. Cichy","doi":"10.1038/s41562-025-02252-z","DOIUrl":"https://doi.org/10.1038/s41562-025-02252-z","url":null,"abstract":"Human vision is mediated by a complex interconnected network of cortical brain areas that jointly represent visual information. Although these areas are increasingly understood in isolation, their representational relationships remain unclear. Here we developed relational neural control and used it to investigate the representational relationships for univariate and multivariate functional magnetic resonance imaging (fMRI) responses of areas across the visual cortex. Through relational neural control, we generated and explored in silico fMRI responses for large numbers of images, discovering controlling images that align or disentangle responses across areas, thus indicating their shared or unique representational content. This revealed a typical network-level configuration of representational relationships in which shared or unique representational content varied on the basis of cortical distance, categorical selectivity and position within the visual hierarchy. Closing the empirical cycle, we validated the in silico discoveries on in vivo fMRI responses from independent participants. Together, this reveals how visual areas jointly represent the world as an interconnected network.","PeriodicalId":19074,"journal":{"name":"Nature Human Behaviour","volume":"90 1","pages":""},"PeriodicalIF":29.9,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144479106","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0