PROJECT SUMMARY/ABSTRACT Heart failure (HF) is a growing pandemic; in the U.S., the number of those diagnosed with HF is expected to rise to 8 million with annual costs at $69 billion by 2030. Despite effective interventions to reduce HF morbidity and mortality, vulnerable populations with HF suffer disproportionately from hospitalization and mortality especially in the southern U.S. states. Self-management (SM) behavioral interventions to improve HF outcomes are therefore imperative. Remote interventions to promote SM behaviors present an important strategy to address the widening geographical and racial health disparities in HF outcomes. One promising approach is the use of sensor-controlled digital games (SCDGs), which offer affordable, portable, scalable tools to facilitate engagement in HF SM behaviors that show the poorest adherence (weight monitoring and physical activity) while being enjoyable and easy to use. The primary goal of this study is to evaluate the efficacy of a SCDG intervention that integrates HF participants’ behavioral data from weight scale and activity tracker sensors to activate game progress, rewards, and feedback. For Aim 1, we will refine an SCDG that we have already developed for mobile smartphones to be playable for longer durations for sustained behavior adherence to weight-monitoring and physical activity. For Aim 2, using a randomized controlled clinical trial, we will compare the SCDG intervention versus a sensor-only intervention for the primary outcome of rate of engagement in the HF SM behavior of weight-monitoring and the secondary outcomes of physical activity behavior engagement, HF SM knowledge, self-efficacy, HF functional status, hospitalization, and quality of life at baseline and at 6, 12, and 24 weeks. For our sample, we will recruit adults aged 45 years or older from 7 southern U.S. states and hospitalized with HF within the past 6 months. We will randomize 200 participants to either the SCDG intervention group, in which participants will receive sensors that track weight monitoring and activity and will play the SCDG on a mobile smartphone, or a control group that will receive sensors, an app that tracks activity and weight monitoring, and standardized written HF educational materials. For Aim 3, we will conduct a mixed-methods assessment to discern facilitators and barriers impacting participants’ engagement with the sensor-based interventions for HF SM behavior adherence. For Aim 4, based on daily HF SM weight-monitoring and physical activity behavior data and ecological momentary assessments of symptoms, mood, satisfaction, and cognitive status, we will conduct digital phenotyping of HF SM weight- monitoring and physical activity behaviors. This project will generate insight and guidance for scalable and easy-to-use digital gaming solutions to motivate persistent adherence to HF SM behaviors and improve health outcomes among individuals with HF.