 The paper describes the use of microinteraction EMA, EMA, in the temporal influences on movement and exercise, time, study to collect temporally dense intensive longitudinal self-report data from young adults. The EMA protocol involves answering single, cognitively simple questions on a smartwatch with quick, glanceable microinteractions. Changes were made to the study protocol based on pilot feedback, and preliminary results suggest that EMA may be valuable for understanding behaviors and states at the individual level. This article was authored by Aditya Panada, Sherline Wong, Daniel Chu, and others.