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Related papers: Past Psychedelic Use Predicts Divergent Thinking

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Across neuroscience, artificial intelligence, and related fields, dominant models of intelligence typically privilege convergence: uncertainty is reduced, competing explanations are eliminated, and behaviour is governed by the optimisation…

Neurons and Cognition · Quantitative Biology 2026-01-21 Alexander D Shaw

Convergent thought is defined and measured in terms of the ability to perform on tasks where there is a single correct solution, and divergent thought is defined and measured in terms of the ability to generate multiple different solutions.…

Neurons and Cognition · Quantitative Biology 2019-07-09 Liane Gabora

The growing use of Generative AI (GenAI) conversational search tools has raised concerns about their effects on people's metacognitive engagement, critical thinking, and learning. As people increasingly rely on GenAI to perform tasks such…

Human-Computer Interaction · Computer Science 2026-03-19 Anjali Singh , Zhitong Guan , Soo Young Rieh

Ineffective meetings are pervasive. Thinking ahead explicitly about meeting goals may improve effectiveness, but current collaboration platforms lack integrated support. We tested a lightweight goal-reflection intervention in a…

Human-Computer Interaction · Computer Science 2026-02-20 Lev Tankelevitch , Ava Elizabeth Scott , Nagaravind Challakere , Payod Panda , Sean Rintel

Purpose of review: We review the literature on the use and potential use of computational psychiatry methods in Borderline Personality Disorder. Recent findings: Computational approaches have been used in psychiatry to increase our…

Neurons and Cognition · Quantitative Biology 2018-03-06 Sarah K Fineberg , Dylan Stahl , Philip Corlett

Hybrid thinking enables LLMs to switch between reasoning and direct answering, offering a balance between efficiency and reasoning capability. Yet our experiments reveal that current hybrid thinking LLMs only achieve partial mode…

Machine Learning · Computer Science 2025-10-15 Shouren Wang , Wang Yang , Xianxuan Long , Qifan Wang , Vipin Chaudhary , Xiaotian Han

Both neurobiological and environmental factors are known to play a role in the origin of schizophrenia, but no model has been proposed that accounts for both. This work presents a functional model of schizophrenia that merges psychodynamic…

Neurons and Cognition · Quantitative Biology 2017-03-10 Alessandro Fontana

Generative artificial intelligence (GenAI) is increasingly used to support a wide range of human tasks, yet empirical evidence on its effect on creativity remains scattered. Can GenAI generate ideas that are creative? To what extent can it…

Human-Computer Interaction · Computer Science 2025-05-26 Niklas Holzner , Sebastian Maier , Stefan Feuerriegel

The set of polarizing force-identification (PFI) questions in the FCI consists of six items all basically asking only one question: the set of forces acting on a given body. Although it may sound trivial, these questions are among the most…

Physics Education · Physics 2020-10-27 Allan L. Alinea

Context. Computer workers in general, and software developers specifically, are under a high amount of stress due to continuous deadlines and, often, over-commitment. Objective. This study investigates the effects of a neuroplasticity…

Software Engineering · Computer Science 2022-03-07 Birgit Penzenstadler , Richard Torkar , Cristina Martinez Montes

Despite a growing desire among consumers to shop responsibly, translating this intention into behaviour remains challenging. Previous work has identified that information seeking (or lack thereof) is a contributing factor to this…

Information Retrieval · Computer Science 2026-04-10 Frans van der Sluis , Leif Azzopardi

Work on personality detection has tended to incorporate psychological features from different personality models, such as BigFive and MBTI. There are more than 900 psychological features, each of which is helpful for personality detection.…

Computation and Language · Computer Science 2023-12-04 Baohua Zhang , Yongyi Huang , Wenyao Cui , Huaping Zhang , Jianyun Shang

We ask where, and under what conditions, dyslexic reading costs arise in a large-scale naturalistic reading dataset. Using eye-tracking aligned to word-level features (word length, frequency, and predictability), we model how each feature…

Computation and Language · Computer Science 2025-10-29 Hugo Rydel-Johnston , Alex Kafkas

User experience in data visualization is typically assessed through post-viewing self-reports, but these overlook the dynamic cognitive processes during interaction. This study explores the use of mind wandering -- a phenomenon where…

Human-Computer Interaction · Computer Science 2024-08-08 Anjana Arunkumar , Lace Padilla , Chris Bryan

Mental health resources available via websites and mobile apps provide support such as advice, journaling, and elements from cognitive behavioral therapy. The proliferation of spoken conversational agents, such as Alexa, Siri, and Google…

Human-Computer Interaction · Computer Science 2020-08-11 Juan C. Quiroz , Tristan Bongolan , Kiran Ijaz

Mental health assessments are of central importance to individuals' well-being. Conventional assessment methodologies predominantly depend on clinical interviews and standardised self-report questionnaires. Nevertheless, the efficacy of…

Human-Computer Interaction · Computer Science 2025-10-22 Yixue Cai , Xiyan Su , Dongpeng Yao , Rongduo Han , Nan Gao , Haining Zhang

For more than 30 years, it has been claimed that a way to improve software developers' productivity and software quality is to focus on people and to provide incentives to make developers satisfied and happy. This claim has rarely been…

Software Engineering · Computer Science 2015-05-06 Daniel Graziotin , Xiaofeng Wang , Pekka Abrahamsson

Meditation and hypnosis both aim to facilitate cognitive-emotional flexibility, i.e., the "de-automatization" of thought and behavior. However, little research or theory has addressed how internal thought patterns might change after such…

Neurons and Cognition · Quantitative Biology 2016-05-12 Kieran C. R. Fox , Yoona Kang , Michael Lifshitz , Kalina Christoff

In recent years, many studies have applied wearable devices to capture psychophysiological data from software developers. However, the current literature lacks investigations that classify the studies and point out gaps to be explored. This…

Software Engineering · Computer Science 2021-06-01 Roger Vieira , Kleinner Farias

This paper explains in layperson's terms how an agent-based model was used to investigate the widely held belief that creativity is an important component of effective leadership. Creative leadership was found to increase the mean fitness…

Multiagent Systems · Computer Science 2015-02-09 Liane Gabora