Paper Info
Title
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.
Year
DOI
Venue
2013
10.1007/978-3-642-39253-5_60
HCI (12)
Keywords
Field
DocType
interactive visualization platform,human life,user interview,general insight discovery behavior,web-based knowledge mining,insight discovery workflow,efficient discovery experience,unprecedented insight,direct design decision,classic information retrieval concept,big data interaction,large-scale data,big data
Data science,Data discovery,World Wide Web,User experience design,Information seeking,Computer science,Interactive visualization,Web application,Workflow,Big data,User-centered design
Conference
Citations 
PageRank 
References 
5
0.49
5
Authors
4
Name
Order
Citations
PageRank
Qing Liu150.49
Mihaela Vorvoreanu2255.25
Krishna P. C. Madhavan3276.84
Ann McKenna493.26