Information Visualization for Decision Support
Bin Zhu and
Hsinchun Chen
Additional contact information
Bin Zhu: Boston University
Hsinchun Chen: University of Arizona
Chapter 68 in Handbook on Decision Support Systems 2, 2008, pp 699-722 from Springer
Abstract:
Abstract While the amount of business information increases at a phenomenal rate, decision makers could easily feel overloaded. Simultaneously, they could also feel the lack of related information for decisions at hand. Various visualization techniques have been developed to help people gain more value from large-scale information collections, but applying visualization in the context of decision-making is not well understood. Through a review of related literature in information visualization and decision support, we identify different roles that visualization technologies could play in decision support. We also elaborate how evaluation studies could help decision makers take better advantage of existing visualization technologies.
Keywords: Decision Maker; Decision Task; Visualization System; Information Visualization; Visualization Technology (search for similar items in EconPapers)
Date: 2008
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:ihichp:978-3-540-48716-6_32
Ordering information: This item can be ordered from
http://www.springer.com/9783540487166
DOI: 10.1007/978-3-540-48716-6_32
Access Statistics for this chapter
More chapters in International Handbooks on Information Systems from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().