Abstract of DISSOCIATED RESPONSES TO AI: LEGAL AI ADVISORS ARE PERSUASIVE BUT NOT TRUSTWORTHY?, by ZEYNEP AYDIN, Degree ScM., Brown University, MAY 2024. The rapid …
In the current project, I examined how efficiently people learn social norms. Specifically, I investigated the relative learning efficiency for social norms by comparing it …
Visually guided action is successful even when the human perceptual system fails to recover veridical 3D structures of objects. The dual visual stream account explains …
Preterm children are at risk for language delays and deficits. By 2 years, very preterm/low birthweight children tend to have smaller vocabularies and use less …
The last two decades in Cognitive Science have seen the productive application of Causal Graphical Models (Pearl, 2000; Spirtes, Glymour & Scheines, 1993) to theories …
Researchers have long sought to identify the factors contributing to individual differences in vocabulary development. Some attributed these to individuals' speech processing abilities, and others …
In a dilemma of trust, decision making involves two competing concerns: the egocentric evaluation of potential outcomes and understanding the other party’s point of view. …
The ability to estimate time is vital for adaptation and orientation in the physical and social environment we live in. However, our subjective experience of …
Abstract of “Enhancing Visual Perceptual Learning Through Reward and Sleep” by Aaron V. Berard, Ph.D., Brown University, May 2016 Visual perceptual learning (VPL) is defined …
Abstract of Evaluating and Improving Models of Visual Perceptual Learning by Tyler Barnes-Diana, Ph.D., Brown University, May 2024. An evaluative framework for investigating computational models …
The relationship between parental involvement and child engagement in STEM tasks has become a focal point in understanding educational dynamics within informal learning environments. Parents …
Given that rats are both highly social animals and are commonly used in cognitive research, they are a prime candidate to investigate underlying mechanisms of …
Recognizing the content of human actions is an important skill in our adaptation to the environment. We rely on our visual system to constantly interpret …
The goal of this thesis is to investigate the question of developmental continuity in language acquisition. In particular, it aims to address whether representations of …
Decades of research have examined feature integration using behavioral and neurophysiological approaches, yet a unifying framework linking its neural mechanisms across online perception and memory …
The visual world holds valuable communicative information for the language learning infant. Emerging evidence suggests that the way an infant distributes his or her attention …
Homophones are words that share the same pronunciation but have unrelated meanings. They are widespread in world languages, but little is known regarding how their …
Over the last decade, deep neural networks (DNNs) have transformed the state of the art in artificial intelligence. In domains such as language production and …
Microaggressions are unintentional offenses perpetrated by a majority group member on a minority group member and highlight group membership since they involve implicit stereotypes or …
Dogs are a ubiquitous part of society. Dogs guide blind people, detect explosives, and search disaster zones for missing people. Despite our reliance on dogs …