Nándor Hajdú
A5034843907- Behavioral Health and Interventions
- COVID-19 and Mental Health
- Misinformation and Its Impacts
- Mental Health Research Topics
- Psychology of Moral and Emotional Judgment
- Face Recognition and Perception
- Evolutionary Psychology and Human Behavior
- COVID-19 epidemiological studies
- Social and Intergroup Psychology
- Media Influence and Health
- Cultural Differences and Values
- Urban Green Space and Health
- Psychological Well-being and Life Satisfaction
- Olfactory and Sensory Function Studies
- Child and Adolescent Psychosocial and Emotional Development
- Behavioral and Psychological Studies
- COVID-19 diagnosis using AI
- Cancer and Skin Lesions
- Community Health and Development
- Tumors and Oncological Cases
- Economic and Environmental Valuation
- Safety Warnings and Signage
- Cardiomyopathy and Myosin Studies
- Animal Behavior and Reproduction
- Sport Psychology and Performance
Eötvös Loránd University
2020-2024
Czech Academy of Sciences, Institute of Psychology
2023
The relation between religiosity and well-being is one of the most researched topics in psychology religion, yet directionality robustness effect remains debated. Here, we adopted a many-analysts approach to assess this based on new cross-cultural dataset (N=10,535 participants from 24 countries). We recruited 120 analysis teams investigate (1) whether religious people self-report higher well-being, (2) self-reported depends perceived cultural norms religion (i.e., it considered normal...
The COVID-19 pandemic has increased negative emotions and decreased positive globally. Left unchecked, these emotional changes might have a wide array of adverse impacts. To reduce increase emotions, we tested the effectiveness reappraisal, an emotion regulation strategy which modifies how one thinks about situation. Participants from 87 countries/regions (N = 21,644) were randomly assigned to two brief reappraisal interventions (reconstrual or repurposing) control conditions (active...
According to the justified true belief (JTB) account of knowledge, people can truly know something only if they have a that is both and (i.e., knowledge JTB). This was challenged by Gettier, who argued JTB does not explain attributions in certain situations, later called “Gettier-type cases,” wherein protagonists are believing be true, but their correct because luck. Laypeople may attribute with luckily beliefs. Although some research has found evidence for these so-called Gettier...
Over the past 10 years, Oosterhof and Todorov’s valence–dominance model has emerged as most prominent account of how people evaluate faces on social dimensions. In this model, two dimensions (valence dominance) underpin judgements faces. Because primarily been developed tested in Western regions, it is unclear whether these findings apply to other regions. We addressed question by replicating methodology across 11 world 41 countries 11,570 participants. When we used original analysis...
Previous research indicates that quick, repetitive actions (pinches, taps, button presses) are executed with smaller force when followed by predictable and salient action effects (tones, light flashes). It has been suggested successive become gradually softer until an optimum is reached, which presumably reflects a balance between the ability to maintain high probability of success, reduction exerted conserve energy. In present experiments, we investigated whether this action-effect-related...
According to the Justified True Belief account of knowledge (JTB), a person can only truly know something if they have belief that is both justified and true (i.e., belief). This was challenged by Gettier (1963), who argued JTB does not explain attributions in certain situations, later called Gettier-type cases, wherein protagonist believing be but their correct due luck. Lay people may attribute protagonists with luckily beliefs. While some research has found evidence for these so-called...
Voluntary isolation is one of the most effective methods for individuals to help prevent transmission diseases such as COVID-19. Understanding why people leave their homes when advised not do so and identifying what contextual factors predict this non-compliant behavior essential policymakers public health officials. To provide insight on these factors, we collected data from 42,169 across 16 countries. Participants responded items inquiring about socio-cultural environment, adherence fellow...
Urinary titin, an easy-to-obtain marker, has been investigated in muscular dystrophies, but not myotonic dystrophy type 1 (DM1). We the role of titin as a biomarker muscle injury DM1.We compared urinary N-fragment/creatinine ratio 29 patients with DM1 vs. 30 healthy controls. also recorded clinical data such strength, serum creatine kinase, DM1-related outcome measures, and 20-item DM1-activ questionnaire. The severity disease was graded using Muscular Impairment Rating Scale (MIRS).The...
Abstract Knowing who to target with certain messages is the prerequisite of efficient public health campaigns during pandemics. Using COVID-19 pandemic situation, we explored which facets society—defined by age, gender, income, and education levels—are most likely visit social gatherings aggravate spread a disease. Analyzing reported behavior 87,169 individuals from 41 countries, found that in majority proportion gathering-goers was higher male than female, younger older, lower-educated...
The role of context in behavioral interventions is indisputable, yet few intervention studies start with a systematic mapping the influencing contextual factors. This mostly due to lack methodology that researchers can employ for this aim. Recognizing current limitation field, we developed procedure, Choice Context Mapping, provide tool examine factors targeted behavior. We demonstrate steps Mapping on behavioural choice situation stairs vs. elevator use. Potential were collected from...
A pszichológiai kutatások számos területén hasznosítható a felügyelt gépi tanulás, amelynek alkalmazásával összetettebb adatok elemzése válik lehetségessé. Célunk, hogy bemutassuk tanulás fajtáit, működését és használatát kutatásokban. Áttekintjük előnyeit, valamint túlillesztés, torzítási hiba adatvariabilitás fogalmait, amelyek segítenek modellválasztásban, az eredmények robusztusságának biztosításában. Röviden bemutatjuk továbbá legfontosabb tanulási algoritmusokat, leírjuk változók...
Supervised machine learning can be used in many areas of psychological research, enabling the analysis more complex data. Our aim is to describe types, operation and use supervised research. We review benefits learning, as well concepts overfitting, bias, variance that help model selection ensure robustness results. also briefly most important algorithms key steps preparation variables An example presented illustrate how choice between stairs elevator university students modelled using...
The importance of context in behavioral interventions is undeniable, yet few intervention studies begin with a systematic investigation the contextual factors that influence behavior question. This largely due to lack reliable method for doing so. In recognition this gap field, we have developed procedure called Choice Context Exploration uses machine learning tools examine targeted behavior. We demonstrate steps using example choice between stairs or an elevator. Potential were identified...
Knowing who to target with certain messages is the prerequisite of efficient public health campaigns during pandemics. Using COVID-19 pandemic situation, we explored which facets society - defined by age, gender, income, and education levels are most likely visit social gatherings aggravate spread a disease. Analyzing reported behavior 87,169 individuals from 41 countries, found that in majority proportion gathering-goers was higher male than female, younger older, lower-educated educated,...