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IJCAI 2013

TutorialPlan: Automated Tutorial Generation from CAD Drawings

Conference Paper Multidisciplinary Topics and Applications Artificial Intelligence

Abstract

Authoring tutorials for complex software applications is a time consuming process. It also highly depends on the tutorial designer’s skill level and experience. This paper introduces an approach which automatically generates software tutorials using the digital artifacts produced by the users of a software program. We model this process as an optimal planning problem using software produced artifacts, software specifications and the human-computer interaction Keystroke- Level Model (KLM). We present TutorialPlan, an automated tutorial generator, which creates stepby-step text and image instructions from CAD drawings and helps users learn AutoCAD, a complex design and drafting software. In our tutorial generator, the optimal planning problem is represented and solved using DLV, a general Answer Set Programming (ASP) system. DLV offers a natural representation of both the problem and the heuristics needed to solve it efficiently. A user study shows that the tutorials generated by our system are comparable to those generated by experienced AutoCAD users.

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Context

Venue
International Joint Conference on Artificial Intelligence
Archive span
1969-2025
Indexed papers
14525
Paper id
854762165786680836
v2026.09.13