Math-Literate Computers
Identifieur interne : 000826 ( Main/Exploration ); précédent : 000825; suivant : 000827Math-Literate Computers
Auteurs : Dorothea Blostein [Canada]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2009.
Abstract
Abstract: Math notation is a familiar, everyday tool widely used in society. Computers need math literacy – the ability to read and write math notation – in order to assist people with accessing mathematical documents and carrying out mathematical investigations. In this paper, we discuss issues in making computers math-literate. Software for generating math notation is widely used. Software for recognition of math notation is not as widely used: to avoid the intrusiveness and unpredictability of recognition errors, people often prefer to enter and edit math expressions using a computer-oriented representation, such as LaTeX or a structure-based editor. However, computer recognition of math notation is essential in large-scale recognition of mathematical documents; as well, it offers the ability to create people-centric user interfaces focused on math notation rather than computer-centric user interfaces focused on computer-oriented representations. Issues that arise in computer math literacy include the diversity of math notation, the challenges in designing effective user interfaces, and the difficulty of defining and assessing performance.
Url:
DOI: 10.1007/978-3-642-02614-0_2
Affiliations:
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<front><div type="abstract" xml:lang="en">Abstract: Math notation is a familiar, everyday tool widely used in society. Computers need math literacy – the ability to read and write math notation – in order to assist people with accessing mathematical documents and carrying out mathematical investigations. In this paper, we discuss issues in making computers math-literate. Software for generating math notation is widely used. Software for recognition of math notation is not as widely used: to avoid the intrusiveness and unpredictability of recognition errors, people often prefer to enter and edit math expressions using a computer-oriented representation, such as LaTeX or a structure-based editor. However, computer recognition of math notation is essential in large-scale recognition of mathematical documents; as well, it offers the ability to create people-centric user interfaces focused on math notation rather than computer-centric user interfaces focused on computer-oriented representations. Issues that arise in computer math literacy include the diversity of math notation, the challenges in designing effective user interfaces, and the difficulty of defining and assessing performance.</div>
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