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Mutual implications of procrastination research in adults and children for theory and intervention 成人和儿童拖延症研究对理论和干预的相互影响
IF 16.8 Q1 PSYCHOLOGY, MULTIDISCIPLINARY Pub Date : 2024-07-30 DOI: 10.1038/s44159-024-00341-w
Caitlin E. V. Mahy, Yuko Munakata, Akira Miyake
Procrastination is a prevalent form of self-regulatory failure familiar to most people. Although many consider procrastination innocuous as long as the deadline is met, it is associated with negative consequences in various life domains. Thus, it is important to understand why people procrastinate, what factors contribute to procrastination and what can be done to reduce procrastination. Most research on these topics has been conducted with adults, and the few developmental studies have been conducted independently from adult procrastination research. In this Review, we seek to bring these disparate lines of research into closer alignment and point out their mutual implications. Specifically, we discuss how studying procrastination developmentally highlights a need to reconsider a highly restrictive definition of procrastination dominant in adult research. We also suggest future directions for both adult and developmental research, including measurement, theoretical development and interventions. Procrastination is often viewed as innocuous as long as deadlines are met but it is associated with negative life outcomes. In this Review, Mahy et al. bring together procrastination research in adults and children and explore their mutual implications for measurement, theory and interventions.
拖延是一种普遍存在的自我调节失败形式,大多数人都不陌生。尽管许多人认为,只要能在截止日期前完成任务,拖延并无大碍,但它却会给生活的各个领域带来负面影响。因此,重要的是要了解人们为什么会拖延,哪些因素会导致拖延,以及怎样才能减少拖延。有关这些主题的研究大多是针对成年人进行的,而为数不多的发展研究则是独立于成人拖延症研究之外进行的。在本综述中,我们力求使这些不同的研究方向更加一致,并指出它们之间的相互影响。具体而言,我们将讨论从发展角度研究拖延症如何凸显出有必要重新考虑在成人研究中占主导地位的对拖延症的限制性很强的定义。我们还提出了成人研究和发展研究的未来方向,包括测量、理论发展和干预措施。
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引用次数: 0
Loneliness limits recall of positive social experiences 孤独限制了对积极社交经历的回忆
IF 16.8 Q1 PSYCHOLOGY, MULTIDISCIPLINARY Pub Date : 2024-07-26 DOI: 10.1038/s44159-024-00349-2
Jenn Richler
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引用次数: 0
Single and multiple systems in categorization and category learning 分类和类别学习中的单系统和多系统
IF 16.8 Q1 PSYCHOLOGY, MULTIDISCIPLINARY Pub Date : 2024-07-22 DOI: 10.1038/s44159-024-00336-7
John Paul Minda, Casey L. Roark, Priya Kalra, Anthony Cruz
Learning to classify the world into categories is fundamental to human cognition. Some categorizations seem to be made explicitly based on rules whereas other categorizations seem to be made implicitly based on similarity. Several theories posit either that multiple learning systems are involved in categorization or that categorization is carried out by a single learning system. The multiple-system approach assumes that people learn new categories via an explicit verbal system and an implicit procedural system. The single-system approach assumes that categories are learned by a single cognitive system that relies on stimulus similarity and selective attention. In this Review, we first provide an overview of the primary theories and models in the field of categorization and highlight the assumptions and operating characteristics of each. We then discuss evidence from cognitive psychology, cognitive neuroscience, computational modelling and comparative psychology to determine which approach is best supported. We conclude that the debate between a multiple-system theory and a single-system approach has not yet been resolved and suggest avenues for future research to create a robust theory that accounts for category learning beyond the laboratory and beyond the confines of the classification learning paradigm. Classifying the world into categories is fundamental to human cognition. In this Review, Minda et al. highlight the assumptions and operating characteristics of theories positing multiple versus single category learning systems and detail evidence for each approach.
学会对世界进行分类是人类认知的基础。有些分类似乎是根据规则明确进行的,而另一些分类似乎是根据相似性隐含进行的。有几种理论认为,分类涉及多个学习系统,或者分类由一个学习系统完成。多系统方法假设人们通过显性的语言系统和隐性的程序系统来学习新的分类。单系统方法则假定,类别是通过单一的认知系统学习的,该系统依赖于刺激的相似性和选择性注意。在这篇综述中,我们首先概述了分类领域的主要理论和模型,并强调了每种理论和模型的假设和运行特点。然后,我们讨论来自认知心理学、认知神经科学、计算建模和比较心理学的证据,以确定哪种方法最有说服力。我们的结论是,多系统理论和单系统方法之间的争论尚未解决,并提出了未来研究的途径,以创建一个强大的理论,解释实验室之外和分类学习范式范围之外的分类学习。
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引用次数: 0
The exclusively inclusive landscape of autism research 自闭症研究的全纳格局
IF 16.8 Q1 PSYCHOLOGY, MULTIDISCIPLINARY Pub Date : 2024-07-17 DOI: 10.1038/s44159-024-00343-8
Lauren Jenner, Joanna Moss
People with intellectual disability are underrepresented and often actively excluded from autism research. A better understanding of autism requires inclusive research approaches that accurately represent the broad heterogeneity of the autistic population.
智障人士在自闭症研究中的代表性不足,而且经常被主动排除在外。要更好地了解自闭症,就必须采用包容性的研究方法,准确地反映自闭症人群的广泛异质性。
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引用次数: 0
From the lab to a career in user experience 从实验室到用户体验行业
IF 16.8 Q1 PSYCHOLOGY, MULTIDISCIPLINARY Pub Date : 2024-07-17 DOI: 10.1038/s44159-024-00344-7
Teresa Schubert
Nature Reviews Psychology is interviewing individuals with doctoral degrees in psychology who pursued non-academic careers. We spoke with Lucy Erickson about her journey from a postdoctoral fellow to a user experience researcher.
自然-心理学评论》(Nature Reviews Psychology)正在采访拥有心理学博士学位但从事非学术职业的人士。我们采访了露西-埃里克森(Lucy Erickson),了解她从博士后研究员到用户体验研究员的心路历程。
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引用次数: 0
Exploring music across cultures 探索跨文化音乐
IF 16.8 Q1 PSYCHOLOGY, MULTIDISCIPLINARY Pub Date : 2024-07-10 DOI: 10.1038/s44159-024-00337-6
Cross-cultural and interdisciplinary work is needed to advance understanding of naturalistic human behaviour. Exemplifying this approach, two Reviews in Nature Reviews Psychology consider how perception of and responses to music diverge and align across the world.
需要开展跨文化和跨学科工作,以促进对人类自然行为的理解。自然-心理学评论》上的两篇评论就体现了这一方法,它们探讨了对音乐的感知和反应在世界各地的差异和一致性。
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引用次数: 0
Advances in the use of virtual reality to treat mental health conditions 利用虚拟现实技术治疗精神疾病的进展
IF 16.8 Q1 PSYCHOLOGY, MULTIDISCIPLINARY Pub Date : 2024-07-10 DOI: 10.1038/s44159-024-00334-9
Imogen H. Bell, Roos Pot-Kolder, Albert Rizzo, Mar Rus-Calafell, Valentina Cardi, Matteo Cella, Thomas Ward, Simon Riches, Martin Reinoso, Andrew Thompson, Mario Alvarez-Jimenez, Lucia Valmaggia
Virtual reality (VR) has emerged as a promising tool in the field of mental health. Central to this technology are immersive environments, which enable exposure to highly controlled virtual experiences that feel real. In this Review, we elaborate on the active elements of immersive experiences and how VR-based treatments work. We provide an overview of developments in the use of VR to treat mental health conditions (anxiety, psychotic symptoms, post-traumatic stress, eating disorders, depression and stress management) with a focus on the core mechanisms that drive effective interventions. Artificial intelligence, biofeedback and gamification are emerging areas of development, and we discuss how they might enhance the accessibility, engagement and effectiveness of psychological treatments. Conducting rigorous studies with user-centred designs in diverse populations is a key research priority. As the use of VR in mental health continues to evolve, addressing ethical and implementation considerations is critical for ensuring ongoing treatment improvements. Virtual reality (VR) enables highly controlled exposure to environments that feel real, which can substantially improve mental health treatments. In this Review, Bell and colleagues describe current VR-based treatments and discuss technological and psychological tools that might promote enhanced immersive experiences.
虚拟现实(VR)已成为心理健康领域一种前景广阔的工具。身临其境的环境是这项技术的核心,它能让人置身于高度可控的虚拟体验中,感觉真实。在本综述中,我们将详细阐述沉浸式体验的积极因素以及基于 VR 的治疗方法是如何发挥作用的。我们概述了利用 VR 治疗心理健康问题(焦虑、精神症状、创伤后应激反应、饮食失调、抑郁和压力管理)的发展情况,并重点介绍了推动有效干预的核心机制。人工智能、生物反馈和游戏化是新兴的发展领域,我们将讨论它们如何提高心理治疗的可及性、参与性和有效性。在不同人群中开展以用户为中心的严格研究是研究的重中之重。随着虚拟现实技术在心理健康领域的应用不断发展,解决伦理和实施方面的问题对于确保不断改进治疗至关重要。
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引用次数: 0
Author Correction: Factors that amplify and attenuate egocentric mentalizing 作者更正:放大和减弱以自我为中心的心智模式的因素
IF 16.8 Q1 PSYCHOLOGY, MULTIDISCIPLINARY Pub Date : 2024-07-09 DOI: 10.1038/s44159-024-00342-9
Andrew R. Todd, Diana I. Tamir
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引用次数: 0
Reframing rational judgement 重塑理性判断
IF 16.8 Q1 PSYCHOLOGY, MULTIDISCIPLINARY Pub Date : 2024-07-08 DOI: 10.1038/s44159-024-00340-x
Omid Ghasemi
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引用次数: 0
How to use generative AI more responsibly 如何更负责任地使用生成式人工智能
IF 16.8 Q1 PSYCHOLOGY, MULTIDISCIPLINARY Pub Date : 2024-07-04 DOI: 10.1038/s44159-024-00339-4
Christopher L. Dancy
Researchers in the psychological sciences can use generative AI systems for tasks such as generating simulated data and new stimuli and for gaining insights into data. Responsible use of these AI systems requires consideration of how sociocultural systems such as racism are embedded in their development and training.
心理科学研究人员可以使用生成式人工智能系统来完成生成模拟数据和新刺激物等任务,并获得对数据的洞察力。要负责任地使用这些人工智能系统,就必须考虑到种族主义等社会文化系统是如何嵌入这些系统的开发和培训中的。
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引用次数: 0
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Nature reviews psychology
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