All studies have been approved by the Palo Alto University Institutional Review Board. Any reports or publications based on this research will use only group data and will not identify any individual as being part of this project.
The objective of this research project is to develop a smoking cessation web application using information gathered from low-income English and Spanish-speaking Bay Area residents in the San Francisco Health Network and people around the world. This presents a unique opportunity for smokers who lack access to conventional smoking cessation resources to help themselves quit smoking using technology. This three-year project is funded by a grant from the Tobacco-Related Disease Research Program.
This study is an anonymous survey that can be completed in 15-20 minutes. The goal of the study is to identify cultural, emotional, and family themes relevant to women who are pregnant and/or who have recently given birth. Information from this study will inform the design of online interventions for women from all around the world.
This app is a research tool intended to examine whether individuals can intentionally change how they feel quickly. It is inspired by scientific work on biofeedback, which had discovered that some people can learn how to change physical states that we normally do not consider under our control by getting feedback on how they are changing. For example, people are able to voluntarily change their heart rate, muscle tension, and skin temperature if they are given information about how these states are increasing or decreasing. The research team which developed this app wants to test whether some people will be able to do the same with some emotional states.