Vid2coach Top Site

: Offering adaptive training structures for complex manual tasks in manufacturing or sorting centers.

Vid2Coach Top: Transforming How-To Videos into Intelligent Task Assistants

Vid2Coach: Transforming How-To Videos into Task Assistants - arXiv vid2coach top

In controlled studies, participants using Vid2Coach experienced significantly lower mental demand, temporal demand, and frustration compared to baseline conditions. They also reported higher performance with lower effort, largely because the system provided continuous confirmation of their progress.

Today, BLV learners either rely on one‑on‑one instruction (incredibly rare), attend specialized classes (which don’t cover every possible task), or try to piece together incomplete text guides. None of these options provide on‑demand, step‑by‑step procedural learning—Vid2Coach was designed to fill this exact gap . : Offering adaptive training structures for complex manual

: Resolves complex questions such as "Does this look complete?" or "I am nervous about this step, any tips?"

Vid2Coach first transcribes the video narration using Whisper, then uses an LLM (GPT‑4o) to filter out non‑instructional sentences (like “don’t forget to like and subscribe”). The system segments the remaining narration into (e.g., “prepare hollandaise sauce”) and atomic actions centered around a single verb (e.g., “separate 3 egg yolks from the whites”) . The system segments the remaining narration into (e

The Vid2Coach system relies on a multi-stage AI pipeline to interpret video content and adaptively guide the user.

, it pulls non-visual tips from BLV-specific community resources—for example, suggesting the use of kitchen scissors instead of a knife for safety. Proactive Feedback

: Offering adaptive training structures for complex manual tasks in manufacturing or sorting centers.

Vid2Coach Top: Transforming How-To Videos into Intelligent Task Assistants

Vid2Coach: Transforming How-To Videos into Task Assistants - arXiv

In controlled studies, participants using Vid2Coach experienced significantly lower mental demand, temporal demand, and frustration compared to baseline conditions. They also reported higher performance with lower effort, largely because the system provided continuous confirmation of their progress.

Today, BLV learners either rely on one‑on‑one instruction (incredibly rare), attend specialized classes (which don’t cover every possible task), or try to piece together incomplete text guides. None of these options provide on‑demand, step‑by‑step procedural learning—Vid2Coach was designed to fill this exact gap .

: Resolves complex questions such as "Does this look complete?" or "I am nervous about this step, any tips?"

Vid2Coach first transcribes the video narration using Whisper, then uses an LLM (GPT‑4o) to filter out non‑instructional sentences (like “don’t forget to like and subscribe”). The system segments the remaining narration into (e.g., “prepare hollandaise sauce”) and atomic actions centered around a single verb (e.g., “separate 3 egg yolks from the whites”) .

The Vid2Coach system relies on a multi-stage AI pipeline to interpret video content and adaptively guide the user.

, it pulls non-visual tips from BLV-specific community resources—for example, suggesting the use of kitchen scissors instead of a knife for safety. Proactive Feedback