Designing discovery experience for big data interaction: A case of web-based knowledge mining and interactive visualization platform

Abstract

The exponentially growing data in every aspect of human lives is offering both opportunities to gain unprecedented insights and challenges for designing efficient discovery experiences. To respond to the challenge of dealing with big data, our work is designing a web-based, knowledge mining and interactive visualization platform that allows users to interactively synthesize, mine, and visualize large-scale data. In this paper, we extend the classic information retrieval concept of information seeking to more general insight discovery behavior. Our approach is to focus on user's insight discovery workflow rather than data per se. User interviews were conducted to extract workflows and specific requirements to inform and direct design decisions. © 2013 Springer-Verlag Berlin Heidelberg.