Mindfulness Training and Respiration Biosignal Feedback - Study 2

The goal of this research is to test usability and user satisfaction with a new breathing feature on the meditation app, Equa, to help young adults who are distressed, understand their physiological responses and mindfulness skill development during meditation. Our main aims are to test an algorithm that can use physiologic signals to give feedback about how participant physiology is changing during guided lessons on the meditation app, Equa through: * Assessing user satisfaction and usability * Measuring how much participant mindfulness skills are improving Participants will: * Complete a survey about demographics, their thoughts and feelings before and after the mindfulness meditation program * Complete 14 smartphone guided mindfulness meditation training units while physiological measures are being recorded * A subset of participants will see a graph tracking their physiological responses from the guided meditation lesson and predictive mindfulness skill scores * Complete a few brief questionnaires before and after mindfulness practices to understand potential changes in their mindfulness skills

Inclusion Criteria: * Ages 18-30 years of Age * Fluent in English * Psychological distress * Willing to participate in guided meditation or stress management training. * Willing and able to wear earbud headphones and a shirt which uses sensors to track motion and physiological measures. * Willing to be randomized to one of two conditions * Willing to provide ratings on their training experience Exclusion Criteria: * Currently pregnant * Current or previous diagnosis with psychosis or schizophrenia