This project will investigate how different types of search engines (e.g. Google) and generative AI systems (e.g. chatGPT) may help users when conducting information-seeking tasks. Our results will inform the design of search tools and increase our understanding of how generative AI systems can be integrated with search tools to assist users.

The purpose of this study is to understand how people use their eyes while working on tasks using multiple computer screens. We want to learn how eye movements change when people do structured tasks given by the research team compared to when they do their own regular work. This information can help us improve future technology, like smart glasses, to make working with virtual screens easier and more comfortable.

The purpose of this study is to learn about middle-aged and older women's experiences with dance, especially in relation to body image, mood, and self-concept.

To review the methods used in collecting mortality data in North Carolina during the COVID-19 pandemic, to understand why the ethnicity data had missing values and how that can be improved upon.

A case study of ten biomedical engineering programs in which two universities collaborate on at least a Ph.D. degree. The intent is to identify circumstances that lead to successful inter-university collaboration as measured by research output, including publications and patents, along with patent citations.

We are comparing the quality of feedback given to second year internal medicine residents by their peers vs. their supervisors, as well as feedback provided using a feedback vs. without the feedback tool.

Machine learning is a powerful tool for solving problems that involve a lot of data. It is being used in many different fields. The first step in creating a machine learning system is to understand what you want to achieve and then turn that goal into a plan for using machine learning. This is called problem formulation. Problem formulation is important because it not only helps you understand what you want to achieve but also helps you figure out if you have the right data to make it work. Practitioners need to try different approaches and see what works best for their data. This can take some trial and error. This study looks at a new tool designed to make problem formulation easier and see if it helps practitioners.

The purpose of this research is to conduct a needs assessment to describe implementation processes, barriers, and facilitators of implementing population wide genomic screening programs. We will conduct qualitative interviews with up to 110 implementation team members from 11 sites to better understand how they have implemented population wide genomic screening programs at their organization.

The purpose of this research project is to investigate the impact of narrative medicine and the humanities on medicine and medical education. It is part of a larger literature review which will conclude with transcripts of interviews talking about this subject.

We are surveying and interviewing people about their views on research that seeks to understand how a person's DNA may influence the things they do and achieve.