Research assessments will consist of participant self-reports of smoking behavior and proximal smoking measures (e.g., cravings) as well as self-report of personality characteristics (e.g., sensation seeking) associated with risk behaviors. CO exhalations will also be evaluated to confirm non-smoking status. Subjects will wear a wrist worn wearable sensor to monitor their physiological data and physical activity. The sensors will measure heart rate, inter-beat interval, electrodermal activity, skin temperature and acceleration signal arising from body movement. Once the data is collected, it will be statistically analyzed and machine learning techniques used to determine if specific physiological and behavioral markers precede smoking behavior (ex fidgeting). In addition, each participant's intervention session attendance and engagement will be recorded by the therapist. Participants in both conditions will make their quit attempt prior to the 5th and final intervention session, and will be invited to return for a follow-up visit at 1 week, 2 weeks, and 1 month after completing the final session, at which time their smoking status and related outcomes will be re-assessed.