The Intention-Behavior Gap

February 2026

Overview

This project examines the intention-behavior gap: why people often fail to follow through on goals they care about. The work combines behavioral science with real-world data from phones and wearables to model day-to-day action and the contexts that shape it.

The research focuses on building personalized, data-driven models that can predict when follow-through is likely or at risk, and on identifying intervention moments that are realistic in daily life. The core contribution is a shift from self-report-only approaches toward continuous behavioral signals that better reflect what people actually do.

Status

Completed as PhD dissertation research. Ongoing translation of findings into applied tools and product concepts.