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2011•Unpublished venueRequires access

BrainDump

Marius Brade, Joerg Heseler, Rainer Groh

Open publisher page 4 citations

Abstract

In this paper a software prototype called BrainDump is described. The approach is focusing on information gathering during web browsing sessions. While performing such a task, the structure and amount of needed data is not known in advance. The system provides the functionality to create and manipulate visual images of mental connections in a dynamic way. Therefore only one single step of interaction is needed. Furthermore the user can follow links back to the source of information, annotate content and hierarchically group collected items.

About this research paper

What this paper is about

In this paper a software prototype called BrainDump is described. The approach is focusing on information gathering during web browsing sessions. While performing such a task, the structure and amount of needed data is not known in advance. The system provides the functionality to create and manipulate visual images of mental connections in a dynamic way. Therefore only one single step of interaction is needed. Furthermore the user can follow links back to the source of information, annotate content and hierarchically group collected items.

Why it matters

OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

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Main findings

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Limitations

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Applications

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Available abstract

In this paper a software prototype called BrainDump is described. The approach is focusing on information gathering during web browsing sessions. While performing such a task, the structure and amount of needed data is not known in advance. The system provides the functionality to create and manipulate visual images of mental connections in a dynamic way. Therefore only one single step of interaction is needed. Furthermore the user can follow links back to the source of information, annotate content and hierarchically group collected items.

Key concepts: Computer science, Task (project management), World Wide Web, Human–computer interaction, Software, Information retrieval, Mental model, Multimedia

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