This study aims to empirically test the theoretical mechanisms of relational perceptions in the context of building and testing a relational artificial intelligence (AI) chatbot for improving physical activity (PA) behaviors among a sedentary adult population in the U.S.

This project investigates the usability of "HeartBot", a chatbot designed to increase women's knowledge and awareness of their risk for heart attack. The study aims to increase women's knowledge of symptoms and when to seek care.

This study systematically evaluates the impact of diverse message frames on public attitudes towards vaccination. The findings are intended to provide health professionals, media outlets, and policymakers with robust insights to address vaccine misconceptions and promote evidence-based decisions.

his study delves into how the structure of discussion networks might affect personal health risk evaluations, which subsequently impact behaviors and medical choices. By altering online network structures, the research assesses their influence on health risk estimates, aiming to improve accurate health risk understanding for the collective societal benefit.

Project Summary - Despite the potential influence of vaccination self-disclosures on other people's vaccine attitudes and beliefs, little is known about these messages. This research delves into the patterns and impacts of personal vaccination disclosures shared on social media platforms. By analyzing self-disclosures about vaccine experiences, the project aims to uncover the role these messages play in shaping public opinion and vaccine uptake.

The goal of this project is to (1) examine the effects of fact-checking misinformation on vaccines and (2) develop a fact-checking algorithm to detect vaccine misinformation online.