A5069454833- Face Recognition and Perception
- Face recognition and analysis
- Visual perception and processing mechanisms
- Neural dynamics and brain function
- Mental Health Research Topics
- Evolutionary Psychology and Human Behavior
- Language and cultural evolution
- Behavioral Health and Interventions
- COVID-19 and Mental Health
- Evolutionary Game Theory and Cooperation
- Species Distribution and Climate Change
- Domain Adaptation and Few-Shot Learning
- Computational and Text Analysis Methods
- Data Analysis with R
- Misinformation and Its Impacts
- Cognitive Science and Mapping
- Neural and Behavioral Psychology Studies
- Opinion Dynamics and Social Influence
- Explainable Artificial Intelligence (XAI)
- Complex Network Analysis Techniques
- Visual Attention and Saliency Detection
- Data Visualization and Analytics
- Neural Networks and Applications
- Innovation Diffusion and Forecasting
- Stock Market Forecasting Methods
Stevens Institute of Technology
2014-2025
University of Leeds
2021
Ludwig-Maximilians-Universität München
2021
University of Bremen
2021
University of California, Berkeley
2016-2020
Jagiellonian University
2020
Institute of Psychology
2020
Institute of Cognitive and Brain Sciences
2016-2017
Harvard University
2011-2015
Harvard University Press
2010-2014
Abstract The MemToolbox is a collection of MATLAB functions for modeling visual working memory. In support its goal to provide full suite data analysis tools, the toolbox includes implementations popular models memory, real and simulated sets, Bayesian maximum likelihood estimation procedures fitting data, visualizations fit, validation routines, model comparison metrics, experiment scripts. released under permissive BSD license available at http://memtoolbox.org.
Abstract The dominant paradigm of experiments in the social and behavioral sciences views an experiment as a test theory, where theory is assumed to generalize beyond experiment's specific conditions. According this view, which Alan Newell once characterized “playing twenty questions with nature,” advanced one at time, integration disparate findings happen via scientific publishing process. In article, we argue that process best inefficient, worst it does not, fact, occur. We further show...
Significance We quickly and irresistibly form impressions of what other people are like based solely on how their faces look. These have real-life consequences ranging from hiring decisions to sentencing decisions. model visualize the perceptual bases facial in most comprehensive fashion date, producing photorealistic models 34 perceived social physical attributes (e.g., trustworthiness age). leverage demonstrate utility deep learning face evaluation, allowing for 1) generation an infinite...
Recent advancements in Large Language Models (LLMs) have exhibited notable efficacy question-answering (QA) tasks across diverse domains. Their prowess integrating extensive web knowledge has fueled interest developing LLM-based autonomous agents. While LLMs are efficient decoding human instructions and deriving solutions by holistically processing historical inputs, transitioning to purpose-driven agents requires a supplementary rational architecture process multi-source information,...
nbgrader is a flexible tool for creating and grading assignments in the Jupyter Notebook (Kluyver et al., 2016).nbgrader allows instructors to create single, master copy of an assignment, including tests canonical solutions.From copy, student version generated without solutions, thus obviating need maintain two separate versions.nbgrader also automatically grades submitted by executing notebooks storing results database.After auto-grading, can manually grade free responses provide partial...
Significance A primary function of human vision is to encode and recall spatial information about visual scenes. We developed an experimental paradigm that reveals the structure memory priors in unprecedented detail. ran a series 85 large-scale online experiments with 9,202 participants paint intricate picture these priors. Our results suggest way understand visuospatial representations as reflecting efficient allocation coding resources. In radical departure from traditional theory, we...
The past 2 Myr have seen both unprecedented environmental instability and the evolution of human capacity for complex culture. This, along with observation that cultural occurs faster than genetic evolution, has led to suggestion culture is an adaptation unstable environment. We test this hypothesis by examining ability social learning respond changes. do inserting participants ( n = 4800) into evolutionary simulations a changing environment while varying information available individuals...
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...
Confidence in our memories is influenced by many factors, including beliefs about the perceptibility or memorability of certain kinds objects and events, as well knowledge skill sets, habits, experiences.Notoriously, memory can lead us astray, causing to be overly confident eyewitness testimony overestimate frequency recent experiences.Here, using visual working a case study, we designed two experiments that strip away all these potentially misleading cues, requiring observers make...
The dominant paradigm of experiments in the social and behavioral sciences views an experiment as a test theory, where theory is assumed to generalize beyond experiment’s specific conditions. According this view, which Alan Newell once characterized “playing twenty questions with nature,” advanced one at time, integration disparate findings happen via scientific publishing process. In article, we argue that process best inefficient, worst it does not, fact, occur. We further show challenge...
Abstract In response to the COVID-19 pandemic, Psychological Science Accelerator coordinated three large-scale psychological studies examine effects of loss-gain framing, cognitive reappraisals, and autonomy framing manipulations on behavioral intentions affective measures. The data collected (April October 2020) included specific measures for each experimental study, a general questionnaire examining health prevention behaviors experience, geographical cultural context characterization,...
Abstract Commentaries on the target article offer diverse perspectives integrative experiment design. Our responses engage three themes: (1) Disputes of our characterization problem, (2) skepticism toward proposed solution, and (3) endorsement with accompanying discussions its implementation in existing work potential for other domains. Collectively, commentaries enhance confidence promise viability design, while highlighting important considerations about how it is used.
Large language models (LLMs) have demonstrated notable potential in conducting complex tasks and are increasingly utilized various financial applications. However, high-quality sequential investment decision-making remains challenging. These require multiple interactions with a volatile environment for every decision, demanding sufficient intelligence to maximize returns manage risks. Although LLMs been used develop agent systems that surpass human teams yield impressive returns,...
The diversity of human faces and the contexts in which they appear gives rise to an expansive stimulus space over people infer psychological traits (e.g., trustworthiness or alertness) other attributes age adiposity). Machine learning methods, particular deep neural networks, provide expressive feature representations face stimuli, but correspondence between these various attribute inferences is difficult determine because former are high-dimensional vectors produced via black-box...
To recognize an object, it is widely supposed that we first detect and then combine its features. Familiar objects are recognized effortlessly, but unfamiliar objects—like new faces or foreign-language letters—are hard to distinguish must be learned through practice. Here, describe a method separates detection combination reveals how each improves as the observer learns. We dissociate steps by two independent manipulations: For step, do not provide bionic crutch performs optimally. Thus, may...
The rapid evolution of artificial intelligence (AI), especially in the domain Large Language Models (LLMs) and generative AI, has opened new avenues for application across various fields, yet its role business education remains underexplored. This study introduces first benchmark to assess performance seven major LLMs, OpenAI's models (GPT-3.5 Turbo, GPT-4, GPT-4 Turbo), Google's (PaLM 2, Gemini 1.0 Pro), Anthropic's (Claude 2 Claude 2.1), on GMAT, which is a key exam admission process...
[enter Abstract Body]As the societal implications of Artificial Intelligence (AI) continue to grow, pursuit responsible AI necessitates public engagement in its development and governance processes. This involvement is crucial for capturing diverse perspectives promoting equitable practices outcomes. We applied Cultural Consensus Theory (CCT) a nationally representative survey dataset on various aspects discern beliefs attitudes about United States. Our results offer valuable insights by...
Large language models (LLMs) have advanced financial applications, yet they often lack sufficient knowledge and struggle with tasks involving multi-modal inputs like tables time series data. To address these limitations, we introduce \textit{Open-FinLLMs}, a of Financial LLMs. We begin FinLLaMA, pre-trained on 52 billion token corpus, incorporating text, tables, time-series data to embed comprehensive knowledge. FinLLaMA is then instruction fine-tuned 573K instructions, resulting in...
Humans possess an unusual combination of traits, including our cognition, life history, demographics and geographical distribution. Many theories propose that these traits have coevolved. Such hypotheses been explored both theoretically empirically, with experiments examining whether human behaviour meets theoretical expectations. However, theory must make assumptions about the mind, creating a potentially problematic gap between models reality. Here, we employ series 'experimental...