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A personally tailored exercise regimen is crucial to ensuring sufficientphysical activities, yet challenging to create as people have complex schedulesand considerations and the creation of plans often requires iterations withexperts. We present PlanFitting, a conversational AI that assists inpersonalized exercise planning. Leveraging generative capabilities of largelanguage models, PlanFitting enables users to describe various constraints andqueries in natural language, thereby facilitating the creation and refinementof their weekly exercise plan to suit their specific circumstances whilestaying grounded in foundational principles. Through a user study whereparticipants (N=18) generated a personalized exercise plan using PlanFittingand expert planners (N=3) evaluated these plans, we identified the potential ofPlanFitting in generating personalized, actionable, and evidence-based exerciseplans. We discuss future design opportunities for AI assistants in creatingplans that better comply with exercise principles and accommodate personalconstraints.

PlanFitting: Tailoring Personalized Exercise Plans with Large Language Models