Authors

Shengdong Zhao, Fanny Chevalier, Wei Tsang Ooi, Chee Yuan Lee, Arpit Agarawal

Paper

Presentation

Abstract

The copy-paste command is a fundamental and widely used operation in daily computing. It is generally regarded as a simple task but the process can become tedious when frequent window switching is required to copy-paste across different documents. Autocompletion is another popular operation aimed at reducing users’ typing effort. It contrasts to copy-paste by allowing for text completion without switching windows. However, the available content for completion is predefined. We introduce AutoComPaste, an enhanced autocompletion technique for cross-document copypaste. AutoComPaste allows users to copy-paste different granularity of text from all opened documents without window switching. Our theoretical analysis and empirical study show that AutoComPaste nicely complements traditional copy-paste techniques and outperforms the traditional copy-paste techniques when users have knowledge of the content to be copied.

Categories and Subject Descriptors: H.5.2 [Information Interfaces and Presentation]: User Interfaces—Interaction Styles

General Terms: Design, Experimentation

Keywords: Copy-Paste, Autocompletion, Windows management

Software and code

The AutoComPaste project has been released as an open source project by NUS School of Computing team of +Yan Hao Loke +Amulya Khare +Kee Cheng Teo +Chin Hui Ng.

You can download the executable code from the following website.

You can download the source code from Github

You can see the demo video at

AutoComPaste: Auto-Completing Text as an Alternative to Copy-Paste

Reference: Shengdong Zhao, Fanny Chevalier, Wei Tsang Ooi, Chee Yuan Lee, Arpit Agarwal: AutoComPaste: auto-completing text as an alternative to copy-paste. AVI 2012: 365-372