We are doing this study to test a behavioral weight loss program designed specifically for adolescent and young adult cancer survivors. Study participants will use technology, including a digital smart scale, Fitbit activity tracker, Facebook, and study web app to help them lose weight.
We want to learn how personality traits and neuroendocrine systems relate to how people make decisions. We hope this research will contribute to the understanding of decision-making, mental health, and the underlying factors that impact these constructs.
In this study, we want to learn how clients and therapists brains connect during different situations. Participants in this study will be randomly assigned to receive either supportive counseling or psycho-education.
The purpose of this research study is to investigate how human interpret some predictive learned by AI systems when detecting deceptive hotel reviews and how AI explanations can shape human understanding. For instance, the AI system learns that words like "floor" and "bathroom" are highly predictive of genuine reviews and words like "husband" and "luxury" are highly predictive of deceptive reviews. While the AI system highlights these words by learning from the data, the association between these words and the outcome are not easy to comprehend for humans. Thus, our goal of this research is to investigate how participants interact with machine-generated explanations that are unintuitive, and how participants make use of our developed visualizations and tools to make sense of these unintuitive features.
Do you have bladder cancer and have had your bladder removed? If so, you may be able to take part in a research study to determine if patients need additional treatment called immunotherapy to prevent cancer from coming back.
The purpose of this research study is to investigate how human interpret some predictive learned by AI systems when detecting deceptive hotel reviews and how AI explanations can shape human understanding. For instance, the AI system learns that words like "floor" and "bathroom" are highly predictive of genuine reviews and words like "husband" and "luxury" are highly predictive of deceptive reviews. While the AI system highlights these words by learning from the data, the association between these words and the outcome are not easy to comprehend for humans. Thus, our goal of this research is to investigate how participants interact with machine-generated explanations that are unintuitive, and how participants make use of our developed visualizations and tools to make sense of these unintuitive features.
The purpose of this study is to better understand genetic, behavioral, and medical factors that might be related to eating disorders such as anorexia nervosa (AN), atypical anorexia nervosa (AAN), bulimia nervosa (BN), binge-eating disorder (BED), and avoidant/restrictive food intake disorder (ARFID).
We are trying to see whether Dupixent is a potential treatment for kids and adults with Eosinophilic Gastritis.
My name is Halden Levin, and I am an undergraduate Linguistics major. For my honors thesis, I am investigating factors influencing speech production in American English and Taiwanese Mandarin. Researching these factors will allow us to better understand speech production.
Did you spend all or part of your childhood in North Carolina? We are exploring your experiences as a child to your physical and mental health today. If you're an adult who spent your childhood in North Carolina (we are particularly interested in people who identify as Black), and are interested in contributing to a study that could shape health policies and resources, join us. Your voice can drive change.