Pub Date : 2023-07-31DOI: 10.1038/s41562-023-01659-w
Taylor Webb, Keith J. Holyoak, Hongjing Lu
The recent advent of large language models has reinvigorated debate over whether human cognitive capacities might emerge in such generic models given sufficient training data. Of particular interest is the ability of these models to reason about novel problems zero-shot, without any direct training. In human cognition, this capacity is closely tied to an ability to reason by analogy. Here we performed a direct comparison between human reasoners and a large language model (the text-davinci-003 variant of Generative Pre-trained Transformer (GPT)-3) on a range of analogical tasks, including a non-visual matrix reasoning task based on the rule structure of Raven’s Standard Progressive Matrices. We found that GPT-3 displayed a surprisingly strong capacity for abstract pattern induction, matching or even surpassing human capabilities in most settings; preliminary tests of GPT-4 indicated even better performance. Our results indicate that large language models such as GPT-3 have acquired an emergent ability to find zero-shot solutions to a broad range of analogy problems. Webb et al. show that new artificial intelligence language models, such as Generative Pre-trained Transformer 3, are able to solve analogical reasoning problems at a human-like level of performance.
{"title":"Emergent analogical reasoning in large language models","authors":"Taylor Webb, Keith J. Holyoak, Hongjing Lu","doi":"10.1038/s41562-023-01659-w","DOIUrl":"10.1038/s41562-023-01659-w","url":null,"abstract":"The recent advent of large language models has reinvigorated debate over whether human cognitive capacities might emerge in such generic models given sufficient training data. Of particular interest is the ability of these models to reason about novel problems zero-shot, without any direct training. In human cognition, this capacity is closely tied to an ability to reason by analogy. Here we performed a direct comparison between human reasoners and a large language model (the text-davinci-003 variant of Generative Pre-trained Transformer (GPT)-3) on a range of analogical tasks, including a non-visual matrix reasoning task based on the rule structure of Raven’s Standard Progressive Matrices. We found that GPT-3 displayed a surprisingly strong capacity for abstract pattern induction, matching or even surpassing human capabilities in most settings; preliminary tests of GPT-4 indicated even better performance. Our results indicate that large language models such as GPT-3 have acquired an emergent ability to find zero-shot solutions to a broad range of analogy problems. Webb et al. show that new artificial intelligence language models, such as Generative Pre-trained Transformer 3, are able to solve analogical reasoning problems at a human-like level of performance.","PeriodicalId":19074,"journal":{"name":"Nature Human Behaviour","volume":"7 9","pages":"1526-1541"},"PeriodicalIF":29.9,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9986552","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}
Pub Date : 2023-07-31DOI: 10.1038/s41562-023-01654-1
Eric Feltham, Laura Forastiere, Marcus Alexander, Nicholas A. Christakis
Epidemic disease can spread during mass gatherings. We assessed the impact of a type of mass gathering about which comprehensive data were available on the local-area trajectory of the COVID-19 epidemic. Here we examined five types of political event in 2020 and 2021: the US primary elections, the US Senate special election in Georgia, the gubernatorial elections in New Jersey and Virginia, Donald Trump’s political rallies and the Black Lives Matter protests. Our study period encompassed over 700 such mass gatherings during multiple phases of the pandemic. We used data from the 48 contiguous states, representing 3,108 counties, and we implemented a novel extension of a recently developed non-parametric, generalized difference-in-difference estimator with a (high-quality) matching procedure for panel data to estimate the average effect of the gatherings on local mortality and other outcomes. There were no statistically significant increases in cases, deaths or a measure of epidemic transmissibility (Rt) in a 40-day period following large-scale political activities. We estimated small and statistically non-significant effects, corresponding to an average difference of −0.0567 deaths (95% CI = −0.319, 0.162) and 8.275 cases (95% CI = −1.383, 20.7) on each day for counties that held mass gatherings for political expression compared to matched control counties. In sum, there is no statistical evidence of a material increase in local COVID-19 deaths, cases or transmissibility after mass gatherings for political expression during the first 2 years of the pandemic in the USA. This may relate to the specific manner in which such activities are typically conducted. The authors show that political gatherings in the USA in 2021–2022 did not have any effect on COVID-19 case counts.
{"title":"Mass gatherings for political expression had no discernible association with the local course of the COVID-19 pandemic in the USA in 2020 and 2021","authors":"Eric Feltham, Laura Forastiere, Marcus Alexander, Nicholas A. Christakis","doi":"10.1038/s41562-023-01654-1","DOIUrl":"10.1038/s41562-023-01654-1","url":null,"abstract":"Epidemic disease can spread during mass gatherings. We assessed the impact of a type of mass gathering about which comprehensive data were available on the local-area trajectory of the COVID-19 epidemic. Here we examined five types of political event in 2020 and 2021: the US primary elections, the US Senate special election in Georgia, the gubernatorial elections in New Jersey and Virginia, Donald Trump’s political rallies and the Black Lives Matter protests. Our study period encompassed over 700 such mass gatherings during multiple phases of the pandemic. We used data from the 48 contiguous states, representing 3,108 counties, and we implemented a novel extension of a recently developed non-parametric, generalized difference-in-difference estimator with a (high-quality) matching procedure for panel data to estimate the average effect of the gatherings on local mortality and other outcomes. There were no statistically significant increases in cases, deaths or a measure of epidemic transmissibility (Rt) in a 40-day period following large-scale political activities. We estimated small and statistically non-significant effects, corresponding to an average difference of −0.0567 deaths (95% CI = −0.319, 0.162) and 8.275 cases (95% CI = −1.383, 20.7) on each day for counties that held mass gatherings for political expression compared to matched control counties. In sum, there is no statistical evidence of a material increase in local COVID-19 deaths, cases or transmissibility after mass gatherings for political expression during the first 2 years of the pandemic in the USA. This may relate to the specific manner in which such activities are typically conducted. The authors show that political gatherings in the USA in 2021–2022 did not have any effect on COVID-19 case counts.","PeriodicalId":19074,"journal":{"name":"Nature Human Behaviour","volume":"7 10","pages":"1708-1728"},"PeriodicalIF":29.9,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9914184","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}
Pub Date : 2023-07-31DOI: 10.1038/s41562-023-01670-1
Jianxiao Wu, Jingwei Li, Simon B. Eickhoff, Dustin Scheinost, Sarah Genon
Relating individual brain patterns to behaviour is fundamental in system neuroscience. Recently, the predictive modelling approach has become increasingly popular, largely due to the recent availability of large open datasets and access to computational resources. This means that we can use machine learning models and interindividual differences at the brain level represented by neuroimaging features to predict interindividual differences in behavioural measures. By doing so, we could identify biomarkers and neural correlates in a data-driven fashion. Nevertheless, this budding field of neuroimaging-based predictive modelling is facing issues that may limit its potential applications. Here we review these existing challenges, as well as those that we anticipate as the field develops. We focus on the impacts of these challenges on brain-based predictions. We suggest potential solutions to address the resolvable challenges, while keeping in mind that some general and conceptual limitations may also underlie the predictive modelling approach. Wu et al. discuss the current and future challenges in the prediction of behavioural traits from brain data.
{"title":"The challenges and prospects of brain-based prediction of behaviour","authors":"Jianxiao Wu, Jingwei Li, Simon B. Eickhoff, Dustin Scheinost, Sarah Genon","doi":"10.1038/s41562-023-01670-1","DOIUrl":"10.1038/s41562-023-01670-1","url":null,"abstract":"Relating individual brain patterns to behaviour is fundamental in system neuroscience. Recently, the predictive modelling approach has become increasingly popular, largely due to the recent availability of large open datasets and access to computational resources. This means that we can use machine learning models and interindividual differences at the brain level represented by neuroimaging features to predict interindividual differences in behavioural measures. By doing so, we could identify biomarkers and neural correlates in a data-driven fashion. Nevertheless, this budding field of neuroimaging-based predictive modelling is facing issues that may limit its potential applications. Here we review these existing challenges, as well as those that we anticipate as the field develops. We focus on the impacts of these challenges on brain-based predictions. We suggest potential solutions to address the resolvable challenges, while keeping in mind that some general and conceptual limitations may also underlie the predictive modelling approach. Wu et al. discuss the current and future challenges in the prediction of behavioural traits from brain data.","PeriodicalId":19074,"journal":{"name":"Nature Human Behaviour","volume":"7 8","pages":"1255-1264"},"PeriodicalIF":29.9,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10113319","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}
Pub Date : 2023-07-27DOI: 10.1038/s41562-023-01660-3
Clodomir Santana, Federico Botta, Hugo Barbosa, Filippo Privitera, Ronaldo Menezes, Riccardo Di Clemente
Socio-economic constructs and urban topology are crucial drivers of human mobility patterns. During the coronavirus disease 2019 pandemic, these patterns were reshaped in their components: the spatial dimension represented by the daily travelled distance, and the temporal dimension expressed as the synchronization time of commuting routines. Here, leveraging location-based data from de-identified mobile phone users, we observed that, during lockdowns restrictions, the decrease of spatial mobility is interwoven with the emergence of asynchronous mobility dynamics. The lifting of restriction in urban mobility allowed a faster recovery of the spatial dimension compared with the temporal one. Moreover, the recovery in mobility was different depending on urbanization levels and economic stratification. In rural and low-income areas, the spatial mobility dimension suffered a more considerable disruption when compared with urbanized and high-income areas. In contrast, the temporal dimension was more affected in urbanized and high-income areas than in rural and low-income areas. Studying human mobility during the coronavirus disease 2019 pandemic, the authors observe asynchronous temporal dynamics of people’s movements and compare this with spatial mobility changes.
{"title":"COVID-19 is linked to changes in the time–space dimension of human mobility","authors":"Clodomir Santana, Federico Botta, Hugo Barbosa, Filippo Privitera, Ronaldo Menezes, Riccardo Di Clemente","doi":"10.1038/s41562-023-01660-3","DOIUrl":"10.1038/s41562-023-01660-3","url":null,"abstract":"Socio-economic constructs and urban topology are crucial drivers of human mobility patterns. During the coronavirus disease 2019 pandemic, these patterns were reshaped in their components: the spatial dimension represented by the daily travelled distance, and the temporal dimension expressed as the synchronization time of commuting routines. Here, leveraging location-based data from de-identified mobile phone users, we observed that, during lockdowns restrictions, the decrease of spatial mobility is interwoven with the emergence of asynchronous mobility dynamics. The lifting of restriction in urban mobility allowed a faster recovery of the spatial dimension compared with the temporal one. Moreover, the recovery in mobility was different depending on urbanization levels and economic stratification. In rural and low-income areas, the spatial mobility dimension suffered a more considerable disruption when compared with urbanized and high-income areas. In contrast, the temporal dimension was more affected in urbanized and high-income areas than in rural and low-income areas. Studying human mobility during the coronavirus disease 2019 pandemic, the authors observe asynchronous temporal dynamics of people’s movements and compare this with spatial mobility changes.","PeriodicalId":19074,"journal":{"name":"Nature Human Behaviour","volume":"7 10","pages":"1729-1739"},"PeriodicalIF":29.9,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10593607/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10259413","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-27DOI: 10.1038/s41562-023-01663-0
Hejing Zhang, Jiaxin Yang, Jun Ni, Carsten K. W. De Dreu, Yina Ma
Leaders can launch hostile attacks on out-groups and organize in-group defence. Whether groups settle the conflict in their favour depends, however, on whether followers align with leader’s initiatives. Yet how leader and followers coordinate during intergroup conflict remains unknown. Participants in small groups elected a leader and made costly contributions to intergroup conflict while dorsolateral prefrontal cortex (DLPFC) activity was simultaneously measured. Leaders were more sacrificial and their contribution influenced group survival to a greater extent during in-group defence than during out-group attacks. Leaders also had increased DLPFC activity when defending in-group, which predicted their comparatively strong contribution to conflict; followers reciprocated their leader’s initiatives the more their DLPFC activity synchronized with that of their leader. When launching attacks, however, leaders and followers aligned poorly at behavioural and neural levels, which explained why out-group attacks often failed. Our results provide a neurobehavioural account of leader–follower coordination during intergroup conflict and reveal leader–follower behavioural/neural alignment as pivotal for groups settling conflicts in their favour. Applying functional near-infrared spectroscopy hyperscanning in intergroup conflict, the authors provide evidence that leaders and followers show behavioural synchronization, as well as neural synchronization in the prefrontal cortex.
{"title":"Leader–follower behavioural coordination and neural synchronization during intergroup conflict","authors":"Hejing Zhang, Jiaxin Yang, Jun Ni, Carsten K. W. De Dreu, Yina Ma","doi":"10.1038/s41562-023-01663-0","DOIUrl":"10.1038/s41562-023-01663-0","url":null,"abstract":"Leaders can launch hostile attacks on out-groups and organize in-group defence. Whether groups settle the conflict in their favour depends, however, on whether followers align with leader’s initiatives. Yet how leader and followers coordinate during intergroup conflict remains unknown. Participants in small groups elected a leader and made costly contributions to intergroup conflict while dorsolateral prefrontal cortex (DLPFC) activity was simultaneously measured. Leaders were more sacrificial and their contribution influenced group survival to a greater extent during in-group defence than during out-group attacks. Leaders also had increased DLPFC activity when defending in-group, which predicted their comparatively strong contribution to conflict; followers reciprocated their leader’s initiatives the more their DLPFC activity synchronized with that of their leader. When launching attacks, however, leaders and followers aligned poorly at behavioural and neural levels, which explained why out-group attacks often failed. Our results provide a neurobehavioural account of leader–follower coordination during intergroup conflict and reveal leader–follower behavioural/neural alignment as pivotal for groups settling conflicts in their favour. Applying functional near-infrared spectroscopy hyperscanning in intergroup conflict, the authors provide evidence that leaders and followers show behavioural synchronization, as well as neural synchronization in the prefrontal cortex.","PeriodicalId":19074,"journal":{"name":"Nature Human Behaviour","volume":"7 12","pages":"2169-2181"},"PeriodicalIF":29.9,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10259414","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}
Pub Date : 2023-07-26DOI: 10.1038/s41562-023-01668-9
Kendra Sirak
Ancient DNA can inform reconstructions of prehistoric social organization, but most evidence comes from elite burial grounds. Rivollat et al. analyse ancient DNA and archaeological evidence from 94 individuals at a non-monumental graveyard in France: Gurgy ‘les Noisats’. Their results reveal a patrilocal community who buried relatives close to one another.
古代 DNA 可以为史前社会组织的重建提供信息，但大多数证据来自精英墓地。Rivollat 等人分析了法国一个非纪念性墓地中 94 人的古 DNA 和考古证据：Gurgy 'les Noisats'。他们的研究结果表明，这是一个父系族群，他们将亲属埋葬在彼此相近的地方。
{"title":"DNA insights into Neolithic society","authors":"Kendra Sirak","doi":"10.1038/s41562-023-01668-9","DOIUrl":"10.1038/s41562-023-01668-9","url":null,"abstract":"Ancient DNA can inform reconstructions of prehistoric social organization, but most evidence comes from elite burial grounds. Rivollat et al. analyse ancient DNA and archaeological evidence from 94 individuals at a non-monumental graveyard in France: Gurgy ‘les Noisats’. Their results reveal a patrilocal community who buried relatives close to one another.","PeriodicalId":19074,"journal":{"name":"Nature Human Behaviour","volume":"7 8","pages":"1245-1246"},"PeriodicalIF":29.9,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10108357","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}
Pub Date : 2023-07-24DOI: 10.1038/s41562-023-01679-6
Science is international, but scientific publishing is dominated by English-language publications. This disproportionately benefits native or fluent English speakers. We want to take steps to address the imbalance this creates, and new technology may help.
{"title":"Scientific publishing has a language problem","authors":"","doi":"10.1038/s41562-023-01679-6","DOIUrl":"10.1038/s41562-023-01679-6","url":null,"abstract":"Science is international, but scientific publishing is dominated by English-language publications. This disproportionately benefits native or fluent English speakers. We want to take steps to address the imbalance this creates, and new technology may help.","PeriodicalId":19074,"journal":{"name":"Nature Human Behaviour","volume":"7 7","pages":"1019-1020"},"PeriodicalIF":29.9,"publicationDate":"2023-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s41562-023-01679-6.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10018360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-24DOI: 10.1038/s41562-023-01661-2
Franziska Brändle, Lena J. Stocks, Joshua B. Tenenbaum, Samuel J. Gershman, Eric Schulz
Studies of human exploration frequently cast people as serendipitously stumbling upon good options. Yet these studies may not capture the richness of exploration strategies that people exhibit in more complex environments. Here we study behaviour in a large dataset of 29,493 players of the richly structured online game ‘Little Alchemy 2’. In this game, players start with four elements, which they can combine to create up to 720 complex objects. We find that players are driven not only by external reward signals, such as an attempt to produce successful outcomes, but also by an intrinsic motivation to create objects that empower them to create even more objects. We find that this drive for empowerment is eliminated when playing a game variant that lacks recognizable semantics, indicating that people use their knowledge about the world and its possibilities to guide their exploration. Our results suggest that the drive for empowerment may be a potent source of intrinsic motivation in richly structured domains, particularly those that lack explicit reward signals. The authors show that in a creative setting people make choices partially based on how empowering their choices are.
{"title":"Empowerment contributes to exploration behaviour in a creative video game","authors":"Franziska Brändle, Lena J. Stocks, Joshua B. Tenenbaum, Samuel J. Gershman, Eric Schulz","doi":"10.1038/s41562-023-01661-2","DOIUrl":"10.1038/s41562-023-01661-2","url":null,"abstract":"Studies of human exploration frequently cast people as serendipitously stumbling upon good options. Yet these studies may not capture the richness of exploration strategies that people exhibit in more complex environments. Here we study behaviour in a large dataset of 29,493 players of the richly structured online game ‘Little Alchemy 2’. In this game, players start with four elements, which they can combine to create up to 720 complex objects. We find that players are driven not only by external reward signals, such as an attempt to produce successful outcomes, but also by an intrinsic motivation to create objects that empower them to create even more objects. We find that this drive for empowerment is eliminated when playing a game variant that lacks recognizable semantics, indicating that people use their knowledge about the world and its possibilities to guide their exploration. Our results suggest that the drive for empowerment may be a potent source of intrinsic motivation in richly structured domains, particularly those that lack explicit reward signals. The authors show that in a creative setting people make choices partially based on how empowering their choices are.","PeriodicalId":19074,"journal":{"name":"Nature Human Behaviour","volume":"7 9","pages":"1481-1489"},"PeriodicalIF":29.9,"publicationDate":"2023-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9863061","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}
Pub Date : 2023-07-20DOI: 10.1038/s41562-023-01651-4
Dunigan Folk, Elizabeth Dunn
We conducted a systematic review of the evidence underlying some of the most widely recommended strategies for increasing happiness. By coding media articles on happiness, we first identified the five most commonly recommended strategies: expressing gratitude, enhancing sociability, exercising, practising mindfulness/meditation and increasing nature exposure. Next, we conducted a systematic search of the published scientific literature. We identified well-powered, pre-registered experiments testing the effects of these strategies on any aspect of subjective wellbeing (that is, positive affect, negative affect and life satisfaction) in non-clinical samples. A total of 57 studies were included. Our review suggests that a strong scientific foundation is lacking for some of the most commonly recommended happiness strategies. As the effectiveness of these strategies remains an open question, there is an urgent need for well-powered, pre-registered studies investigating strategies for promoting happiness. A systematic review examines the happiness-promoting strategies most commonly recommended in the media. This review suggests that the scientific evidence underlying some of these strategies, such as physical exercise, is weak.
{"title":"A systematic review of the strength of evidence for the most commonly recommended happiness strategies in mainstream media","authors":"Dunigan Folk, Elizabeth Dunn","doi":"10.1038/s41562-023-01651-4","DOIUrl":"10.1038/s41562-023-01651-4","url":null,"abstract":"We conducted a systematic review of the evidence underlying some of the most widely recommended strategies for increasing happiness. By coding media articles on happiness, we first identified the five most commonly recommended strategies: expressing gratitude, enhancing sociability, exercising, practising mindfulness/meditation and increasing nature exposure. Next, we conducted a systematic search of the published scientific literature. We identified well-powered, pre-registered experiments testing the effects of these strategies on any aspect of subjective wellbeing (that is, positive affect, negative affect and life satisfaction) in non-clinical samples. A total of 57 studies were included. Our review suggests that a strong scientific foundation is lacking for some of the most commonly recommended happiness strategies. As the effectiveness of these strategies remains an open question, there is an urgent need for well-powered, pre-registered studies investigating strategies for promoting happiness. A systematic review examines the happiness-promoting strategies most commonly recommended in the media. This review suggests that the scientific evidence underlying some of these strategies, such as physical exercise, is weak.","PeriodicalId":19074,"journal":{"name":"Nature Human Behaviour","volume":"7 10","pages":"1697-1707"},"PeriodicalIF":29.9,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9900178","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}
Pub Date : 2023-07-20DOI: 10.1038/s41562-023-01675-w
Anat Perry
{"title":"AI will never convey the essence of human empathy","authors":"Anat Perry","doi":"10.1038/s41562-023-01675-w","DOIUrl":"10.1038/s41562-023-01675-w","url":null,"abstract":"","PeriodicalId":19074,"journal":{"name":"Nature Human Behaviour","volume":"7 11","pages":"1808-1809"},"PeriodicalIF":29.9,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10204005","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}
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