Intelligent understanding of handwritten geometry theorem proving

Yingying Jiang, Feng Tian, Hongan Wang, Xiaolong Zhang, Xugang Wang, Guozhong Dai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

18 Scopus citations

Abstract

Computer-based geometry systems have been widely used for teaching and learning, but largely based on mouse-and-keyboard interaction, these systems usually require users to draw figures by following strict task structures defined by menus, buttons, and mouse and keyboard actions. Pen-based designs offer a more natural way to develop geometry theorem proofs with hand-drawn figures and scripts. This paper describes a pen-based geometry theorem proving system that can effectively recognize hand-drawn figures and hand-written proof scripts, and accurately establish the correspondence between geometric components and proof steps. Our system provides dynamic and intelligent visual assistance to help users understand the process of proving and allows users to manipulate geometric components and proof scripts based on structures rather than strokes. The results from evaluation study show that our system is well perceived and users have high satisfaction with the accuracy of sketch recognition, the effectiveness of visual hints, and the efficiency of structure-based manipulation.

Original languageEnglish (US)
Title of host publicationIUI 2010 - Proceedings of the 14th ACM International Conference on Intelligent User Interfaces
Pages119-128
Number of pages10
DOIs
StatePublished - 2010
Event14th ACM International Conference on Intelligent User Interfaces, IUI 2010 - Hong Kong, China
Duration: Feb 7 2010Feb 10 2010

Publication series

NameInternational Conference on Intelligent User Interfaces, Proceedings IUI

Other

Other14th ACM International Conference on Intelligent User Interfaces, IUI 2010
Country/TerritoryChina
CityHong Kong
Period2/7/102/10/10

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction

Fingerprint

Dive into the research topics of 'Intelligent understanding of handwritten geometry theorem proving'. Together they form a unique fingerprint.

Cite this