English

TutoAI: A Cross-domain Framework for AI-assisted Mixed-media Tutorial Creation on Physical Tasks

Human-Computer Interaction 2024-03-14 v1 Artificial Intelligence Machine Learning

Abstract

Mixed-media tutorials, which integrate videos, images, text, and diagrams to teach procedural skills, offer more browsable alternatives than timeline-based videos. However, manually creating such tutorials is tedious, and existing automated solutions are often restricted to a particular domain. While AI models hold promise, it is unclear how to effectively harness their powers, given the multi-modal data involved and the vast landscape of models. We present TutoAI, a cross-domain framework for AI-assisted mixed-media tutorial creation on physical tasks. First, we distill common tutorial components by surveying existing work; then, we present an approach to identify, assemble, and evaluate AI models for component extraction; finally, we propose guidelines for designing user interfaces (UI) that support tutorial creation based on AI-generated components. We show that TutoAI has achieved higher or similar quality compared to a baseline model in preliminary user studies.

Keywords

Cite

@article{arxiv.2403.08049,
  title  = {TutoAI: A Cross-domain Framework for AI-assisted Mixed-media Tutorial Creation on Physical Tasks},
  author = {Yuexi Chen and Vlad I. Morariu and Anh Truong and Zhicheng Liu},
  journal= {arXiv preprint arXiv:2403.08049},
  year   = {2024}
}

Comments

CHI 2024, supplementary materials: https://hdi.cs.umd.edu/papers/TutoAI_CHI24_Supp.pdf

R2 v1 2026-06-28T15:17:55.576Z