 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 protocol based on pilot feedback and sense of triggered questions for physical activity and sedentary behavior were added. As of June 2021, a total of 81 participants had completed at least six months of data collection in the main study, with a compliance rate of 67.6%, SD24.4%, and a completion rate of 79%, SD22.2%. The paper concludes that EMA may be valuable for understanding behaviors and states at the individual level, thus possibly supporting future longitudinal interventions that require within day, temporally dense self-report data as people go about their lives. This article was authored by Aditya Panada, Shirlene Wong, Daniel Chu, and others. We are article.tv, links in the description below.