A Taxonomy of Collaboration in Online Information Seeking

TL;DR

This paper proposes a comprehensive taxonomy of collaboration in online information seeking, based on four key dimensions, to better classify and guide the design of collaborative systems.

Contribution

It introduces a novel four-dimensional model of collaboration, enabling systematic classification and comparison of online information seeking systems.

Findings

The model includes intent, depth, concurrency, and location as key dimensions.

It helps identify gaps and opportunities in collaborative information seeking systems.

The taxonomy is illustrated with examples from existing literature.

Abstract

People can help other people find information in networked information seeking environments. Recently, many such systems and algorithms have proliferated in industry and in academia. Unfortunately, it is difficult to compare the systems in meaningful ways because they often define collaboration in different ways. In this paper, we propose a model of possible kinds of collaboration, and illustrate it with examples from literature. The model contains four dimensions: intent, depth, concurrency and location. This model can be used to classify existing systems and to suggest possible opportunities for design in this space.