AI coaching will become embedded not just in smart glasses but in everyday devices, making expert guidance available anywhere, anytime.
Furthermore, Vid2Coach Top leverages its "Top" infrastructure to create a scalable learning ecosystem. In traditional settings, a promising player in a small market might never receive high-level tactical coaching. Vid2Coach Top collapses geographic barriers. A high school point guard in rural Iowa can upload their highlight reel and receive a breakdown from a former collegiate coach in Los Angeles within 24 hours. The platform also incorporates a longitudinal "progress timeline," allowing both athlete and coach to track biomechanical changes across months, identifying whether a technical adjustment is leading to sustainable improvement or injury risk. This historical database, searchable by problem (e.g., "slow first step") or solution (e.g., "improved follow-through"), becomes a powerful reference library for the entire user community.
Vid2Coach utilizes Retrieval-Augmented Generation (RAG) to extract non-visual workarounds from specialized databases, ensuring the coaching is safe and accurate.
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Users can use free-form speech to ask the AI questions during the task, such as "Is this cooking enough?".
: Ongoing transitions like "fry until brown" provide real-time updates as the visual texture shifts.
| Feature | Description | |---------|-------------| | | Transforms how‑to videos into wearable camera‑based task assistants. | | Primary users | Blind and low vision (BLV) individuals, but extensible to any learner. | | Input | Any standard how‑to video (cooking, DIY, crafts, etc.). | | Output | Step‑by‑step instructions + completion criteria + accessibility workarounds + real‑time proactive feedback + voice Q&A. | | Hardware | Commercial smart glasses (e.g., Meta) with an embedded camera. | | Key AI technologies | Whisper (transcription), GPT‑4o (LLM), CLIP (cross‑modal similarity), Vision‑Language Model (VLM), RAG (retrieval‑augmented generation). | | User study results | 58.5% fewer errors, 5/8 task completion vs. 1/8 baseline, significantly lower mental & temporal demand and frustration. | | Status | Peer‑reviewed research prototype (UIST 2025, CHI 2026). | | Limitations | Requires high‑quality videos, computer vision not perfect, privacy concerns, hardware dependent. | | Broader applications | Sports coaching, physical therapy, industrial training, DIY, education. | AI coaching will become embedded not just in
How Vid2Coach Transforms Online How-To Videos into Smart Wearable Assistants
Participants emphasized that Vid2Coach felt than human assistants. Many noted a strong sense of personal motivation and achievement from completing tasks on their own.
Vid2Coach uses cameras embedded in commercial smart glasses to monitor a user’s progress in real-time. As you perform a task, the AI acts as a "second set of eyes," providing proactive feedback, correcting mistakes, and guiding you through steps without requiring you to look at a screen. 2. Tailored, Accessible Instructions (RAG Technology) Vid2Coach Top collapses geographic barriers
Bridges the gap between "watching a video" and "having a coach" by providing context-aware corrections. Comparison: Vid2Coach vs. Sport-Specific Apps
One of the most compelling aspects of Vid2Coach is its application beyond traditional coaching. The system was originally designed to help blind and low‑vision individuals follow how‑to videos—a population for whom visual comparison is impossible. In user studies, Vid2Coach enabled participants to complete cooking tasks with 58.5% fewer errors, and all participants wanted to use it in their daily lives.
The research team has already presented Vid2Coach at UIST 2025, and a follow‑up paper has been accepted for , one of the top conferences in human‑computer interaction . That suggests the work is evolving rapidly.