Hu Chuan-Peng
A5059759936- Mental Health Research Topics
- Behavioral Health and Interventions
- Psychology of Moral and Emotional Judgment
- Functional Brain Connectivity Studies
- Neural and Behavioral Psychology Studies
- Free Will and Agency
- Meta-analysis and systematic reviews
- scientometrics and bibliometrics research
- Social and Intergroup Psychology
- Interdisciplinary Research and Collaboration
- Advanced Radiotherapy Techniques
- Media Influence and Health
- Psychosomatic Disorders and Their Treatments
- Evolutionary Psychology and Human Behavior
- COVID-19 and Mental Health
- Decision-Making and Behavioral Economics
- Face Recognition and Perception
- Philosophy and Theoretical Science
- Health, Environment, Cognitive Aging
- Creativity in Education and Neuroscience
- Neural dynamics and brain function
- Misinformation and Its Impacts
- Aesthetic Perception and Analysis
- Academic Publishing and Open Access
- Cultural Differences and Values
Nanjing Normal University
2020-2025
Brown University
2025
Leibniz Institute for Resilience Research
2019-2024
Beijing Normal University
2024
Chinese University of Hong Kong
2024
University of Hong Kong
2024
Renmin University of China
2024
Tsinghua University
2014-2023
University of Aberdeen
2023
Chinese University of Hong Kong, Shenzhen
2023
English-speakers sometimes say that they feel "moved to tears," "emotionally touched," "stirred," or something "warmed their heart;" other languages use similar passive contact metaphors refer an affective state. The authors propose and measure the concept of kama muta understand experiences often given these labels. Do same evoke emotion across nations languages? They conducted studies in 19 different countries, 5 continents, 15 languages, with a total 3,542 participants. tested construct...
Summary Data analysis workflows in many scientific domains have become increasingly complex and flexible. To assess the impact of this flexibility on functional magnetic resonance imaging (fMRI) results, same dataset was independently analyzed by 70 teams, testing nine ex-ante hypotheses. The analytic approaches is exemplified fact that no two teams chose identical to analyze data. This resulted sizeable variation hypothesis test even for whose statistical maps were highly correlated at...
Abstract As the global health crisis unfolded, many academic conferences moved online in 2020. This move has been hailed as a positive step towards inclusivity its attenuation of economic, physical, and legal barriers effectively enabled individuals from groups that have traditionally underrepresented to join participate. A number studies outlined how moving made it possible gather more community increased opportunities for with various constraints, e.g., caregiving responsibilities. Yet,...
Culture is a key determinant of children's development both in its own right and as measure generalizability developmental phenomena. Studying the role culture requires information about participants' demographic backgrounds. However, reporting treatment data are limited inconsistent child research. A barrier to consistent fashion that no standardized tool currently exists collect these data. Variation cultural expectations, family structures, life circumstances across communities make...
Abstract Background The development of machine learning models for aiding in the diagnosis mental disorder is recognized as a significant breakthrough field psychiatry. However, clinical practice such remains challenge, with poor generalizability being major limitation. Methods Here, we conducted pre-registered meta-research assessment on neuroimaging-based psychiatric literature, quantitatively examining global and regional sampling issues over recent decades, from view that has been...
Social thermoregulation theory posits that modern human relationships are pleisiomorphically organized around body temperature regulation. In two studies (N = 1755) designed to test the principles from this theory, we used supervised machine learning identify social and non-social factors relate core temperature. This data-driven analysis found complex integration (CSI), defined as number of high-contact roles one engages in, is a critical predictor We further cross-validation approach show...
Abstract An Electroencephalography (EEG) dataset utilizing rich text stimuli can advance the understanding of how brain encodes semantic information and contribute to decoding in brain-computer interface (BCI). Addressing scarcity EEG datasets featuring Chinese linguistic stimuli, we present ChineseEEG dataset, a high-density complemented by simultaneous eye-tracking recordings. This was compiled while 10 participants silently read approximately 13 hours from two well-known novels. provides...
Driving warning systems are of great help in notifying emergencies. Based on the results former studies as well multisensory integration effect (MIE), current meta-analysis investigated effectiveness utilizing unimodal (i.e., auditory, visual, and tactile) multimodal bimodal trimodal) driving drivers’ response time. Sixty eligible articles representing 308 individual were included this meta-analysis. The showed: First, both auditory warnings (pooled Hedges’ g = 0.98, 95% CI: 0.34 to 1.61, p...
Drift-diffusion models (DDMs) are pivotal in understanding evidence-accumulation processes during decision-making across psychology, behavioral economics, neuroscience, and psychiatry. Hierarchical DDMs (HDDMs), a Python library for hierarchical Bayesian estimation of DDMs, has been widely used among researchers, including researchers with limited coding proficiency, fitting other sequential sampling models. However, issues compatibility installation lack support more recent...
Drift diffusion models (DDMs) are pivotal in understanding evidence accumulation processes during decision-making across psychology, behavioral economics, neuroscience, and psychiatry. Hierarchical drift (HDDM), a Python library for hierarchical Bayesian estimation of DDMs (Wiecki et al., 2013), has been widely used among researchers, including those with limited coding proficiency, fitting other sequential sampling models. However, issues compatibility installation lack support more...
Drift diffusion models (DDMs) are pivotal in understanding evidence accumulation processes during decision-making across psychology, behavioral economics, neuroscience, and psychiatry. Hierarchical drift (HDDM), a Python library for hierarchical Bayesian estimation of DDMs (Wiecki et al., 2013), has been widely used among researchers, including those with limited coding proficiency, fitting other sequential sampling models. However, issues compatibility installation lack support more...
Psychological science has a persistent diversity problem: samples, authors, and journal editors are predominantly from the Global North. Big team science, characterized by collaborative projects involving researchers worldwide, emerged as potential solution to these generalizability concerns. Despite its widespread adoption claims of increased generalizability, actual impact big on improving representation in psychological studies remains unknown. Here, we plan systematically examine...
Psychological science has a persistent diversity problem: samples, authors, and journal editors are predominantly from the Global North. Big team science, characterized by collaborative projects involving researchers worldwide, emerged as potential solution to these generalizability concerns. Despite its widespread adoption claims of increased generalizability, actual impact big on improving representation in psychological studies remains unknown. Here, we plan systematically examine...
Psychological science has a persistent diversity problem: samples, authors, and journal editors are predominantly from the Global North. Big team science, characterized by collaborative projects involving researchers worldwide, emerged as potential solution to these generalizability concerns. Despite its widespread adoption claims of increased generalizability, actual impact big on improving representation in psychological studies remains unknown. Here, we plan systematically examine...
Over the past decade, open science movement has transformed research landscape, though its impact largely been confined to developed countries. Recently, researchers from developing countries have called for a redesign of better align with their unique contexts. However, raising awareness alone is insufficient—practical actions are required drive meaningful and inclusive change. In this work, we analyze opportunities offered by explore macro- micro-level barriers in face when engaging these...