Paper Info
Title
Understanding documentation and reconstruction requirements for computer-assisted decision processes
Abstract
Challenges related to documenting and reconstructing computer-assisted decision processes include the selection of information granularity, design of information gathering and reconstruction mechanisms, evaluation of reconstruction value, and storage and computational costs. This article surveys these challenges and explicates an approach to designing and prototyping an evaluation framework for decisions based on image inspection. The framework explored here allows users to analyze storage and computational costs of information gathering as a function of information granularity and then assesses the potential value of decision process reconstructions. We illustrate how evaluations of decision process reconstructions could potentially improve our understanding of future archival needs by simultaneously documenting, preserving and reconstructing computer-assisted decision processes, and evaluating and forecasting computational and storage requirements of the documentation and reconstruction processes over time.
Year
DOI
Venue
2010
10.1016/j.dss.2010.08.033
Decision Support Systems
Keywords
Field
DocType
reconstruction value,reconstruction process,storage requirement,evaluation framework,information granularity,computer-assisted decision process,decision process reconstruction,reconstruction requirement,evaluations,reconstruction mechanism,information gathering,understanding documentation,computational cost,preservation decisions
Process selection,Data mining,Image Inspection,Computer science,Decision process,Granularity,Cognition,Documentation
Journal
Volume
Issue
ISSN
50
1
Decision Support Systems
Citations 
PageRank 
References 
0
0.34
8
Authors
3
Name
Order
Citations
PageRank
Peter Bajcsy113825.50
Rob Kooper21234235.10
Sang-Chul Lee328724.04