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
Age range
18 Years – 30 Years
Sex
ALL
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Assess usability and user satisfaction with respiration biosignal tracking and predictive mindfulness skill scores during meditation training to changes in mindfulness skills from pre-training to post-training
Timeframe: Throughout 5 sessions over the course of 4 weeks (study completion)