Combining Sketching and Traditional Diagram Editing Tools

Author:

Stapleton Gem1,Plimmer Beryl2,Delaney Aidan1,Rodgers Peter3

Affiliation:

1. University of Brighton, Brighton, UK

2. University of Auckland, Auckland, New Zealand

3. University of Kent, Canterbury, UK

Abstract

The least cognitively demanding way to create a diagram is to draw it with a pen. Yet there is also a need for more formal visualizations, that is, diagrams created using both traditional keyboard and mouse interaction. Our objective is to allow the creation of diagrams using traditional and stylus-based input. Having two diagram creation interfaces requires that changes to a diagram should be automatically rendered in the other visualization. Because sketches are imprecise, there is always the possibility that conversion between visualizations results in a lack of syntactic consistency between the two visualizations. We propose methods for converting diagrams between forms, checking them for equivalence, and rectifying inconsistencies. As a result of our theoretical contributions, we present an intelligent software system allowing users to create and edit diagrams in sketch or formal mode. Our proof-of-concept tool supports diagrams with connected and spatial syntactic elements. Two user studies show that this approach is viable and participants found the software easy to use. We conclude that supporting such diagram creation is now possible in practice.

Publisher

Association for Computing Machinery (ACM)

Subject

Artificial Intelligence,Theoretical Computer Science

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Modeling Users' Cognitive Performance Using Digital Pen Features;Frontiers in Artificial Intelligence;2022-05-03

2. Assessing Cognitive Test Performance Using Automatic Digital Pen Features Analysis;Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization;2021-06-21

3. Automatically Proving Plane Geometry Theorems Stated by Text and Diagram;International Journal of Pattern Recognition and Artificial Intelligence;2019-06-07

4. Exploration of artistic creation of Chinese ink style painting based on deep learning framework and convolutional neural network model;Soft Computing;2019-04-11

5. InkPlanner: Supporting Prewriting via Intelligent Visual Diagramming;IEEE Transactions on Visualization and Computer Graphics;2019-01

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