Will People Enjoy a Robot Trainer? A Case Study with Snoopie the Pacerbot

2026-04-20

AI Summary

This study investigates whether quadrupedal robots can serve as effective and engaging personal running coaches, offering a compelling alternative to conventional wearable devices for interval training that demands high precision and consistency. To this end, we present SNOOPIE—the first autonomous quadrupedal running companion designed for personalized training—integrating an adaptive pacing algorithm, real-time navigation, and embodied interaction to dynamically match and guide the user’s rhythm. Experimental results demonstrate that, compared to the Apple Watch, SNOOPIE significantly improves users’ adherence to target pace (+60.6%) and speed consistency (+45.9%), while also achieving superior ratings in subjective measures including usability, enjoyment, and perceived coaching effectiveness, thereby validating the unique advantages of embodied robots in exercise guidance.

Technology Category

• Intelligent Robots: Human-Robot Interaction
• Humans and AI: Interaction Techniques and Devices
• Cognitive Modeling & Cognitive Systems: Simulating Human Behavior

Application Category

• User Modeling, Personalization and Recommendation: On-Device user modeling, personalization, and recommendation
• Responsible Web: Machine-in-the-loop, human agency and autonomy
• Search and Retrieval-Augmented AI: Personalized, context-aware and across-device search

Abstract

The physicality of exercise makes the role of athletic trainers unique. Their physical presence allows them to guide a student through a motion, demonstrate an exercise, and give intuitive feedback. Robot quadrupeds are also embodied agents with robust agility and athleticism. In our work, we investigate whether a robot quadruped can serve as an effective and enjoyable personal trainer device. We focus on a case study of interval training for runners: a repetitive, long-horizon task where precision and consistency are important. To meet this challenge, we propose SNOOPIE, an autonomous robot quadruped pacer capable of running interval training exercises tailored to challenge a user's personal abilities. We conduct a set of user experiments that compare the robot trainer to a wearable trainer device--the Apple Watch--to investigate the benefits of a physical embodiment in exercise-based interactions. We demonstrate 60.6% better adherence to a pace schedule and were 45.9% more consistent across their running speeds with the quadruped trainer. Subjective results also showed that participants strongly preferred training with the robot over wearable devices across many qualitative axes, including its ease of use (+56.7%), enjoyability of the interaction (+60.6%), and helpfulness (+39.1%). Additional videos and visualizations can be found on our website: https://sites.google.com/view/snoopie

Problem

• robot trainer
• quadruped robot
• interval training
• physical embodiment
• user adherence

Innovation

• quadruped robot
• embodied agent
• personalized exercise coaching
• interval training
• human-robot interaction