This will be a 12-week, single-arm, multi-component, personalized BCT intervention. Participants will be provided with 4 BCTs daily (Goal Setting, Action Planning, Self-Monitoring, and Prompt/Cue) that have been associated with habit formation theory and development of physical activity habits in prior research.

Behavior Change Technique 1: Goal setting (Behavior) (BCT 1.1). Goal setting for behavior is defined as setting a goal for the behavior to be achieved.

Behavior Change Technique 2: Action planning (BCT 1.4). Action planning is defined as detailing the plan of where, for how long, and at what time taking medication is going to be performed.

Behavior Change Technique 3: Self-monitoring of behavior (BCT 2.3). Self-monitoring of behavior is defined as monitoring and recording behavior.

Behavior Change Technique 4: Prompts/Cues (BCT 7.1) This BCT is defined as prompt rehearsal and repetition of the behavior in the same context repeatedly, so that the context elicits the behavior.

The primary outcome will be a binary indicator of habit formation. A null hypothesis rate of 30 percent will be used. There will be a comparison of the achieved proportion of habitual walking versus this null level, using a 1-sample binomial test with a 2-sided alpha at 5 percent. For the purposes of this current analysis, it is assumed that 50 percent of the sample will achieve habitual hourly walking following the BCT intervention to encourage habit formation. Rate of habit formation will be summarized using the observed proportion along with a 95 percent confidence interval.

Examining whether an hourly walking habit formation will be associated with positive changes in cognitive automaticity using Fisher's exact test (5%, 2-sided). Specifically, for each participant, the difference between average automaticity during the last 2 weeks of intervention and average baseline automaticity will be calculated; a positive change is defined as a difference of greater than zero. The rate of habit formation will be compared between the group of participants whose automaticity increased and the participants whose automaticity did not using a Fisher's exact test. Finally, logistic regression will be utilized to assess the effects of automaticity on development of a daily walking habit, with adjustment for other factors, such caregiver demographic characteristics and factors related to caregiving.