On the (virtual) getting of wisdom: immersive 3D interfaces for eliciting spatial information from experts
Brown, Ross A., Bruza, Peter D., Heard, Wesley, Mengersen, Kerrie, & Murray, Justine (2016) On the (virtual) getting of wisdom: immersive 3D interfaces for eliciting spatial information from experts. Spatial Statistics. (In Press)
Administrators only | Request a copy from author
Expert information is a valuable resource in developing robust spatial models to improve understanding and prediction of systems in health, environment, business and society. However, getting experts to reliably activate and encode what they know has proven to be an elusive goal. A root cause of this elusiveness is the fact that expert knowledge is largely tacit, i.e., experts struggle to describe what they know. The imperative to address this goal is increasing. There is a constant need for better models of expert knowledge in organizations, much observational data is sparse and inadequate for spatial modelling, and many domains have knowledgeable workers leaving in numbers. Interviews are often used for eliciting expert knowledge, due to their ease of implementation. However, there is evidence that a lack of appropriate stimuli reduces the quality of knowledge elicited. This paper explores the use of immersive 3D virtual worlds for improved knowledge elicitation, due to their priming effects on memory recall. A case study on habitat prediction for a rock wallaby species is presented, in which the new approach is trialed. This paper is one of the first that aims to combine new virtual spatial technology with expert elicitation for improved spatial statistical modelling.
Impact and interest:
Citation counts are sourced monthly from and citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
|Item Type:||Journal Article|
|Keywords:||Virtual Reality, Immersive Interface, Expert Elicitation, Elicitation Software|
|Subjects:||Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000) > STATISTICS (010400) > Applied Statistics (010401)
Australian and New Zealand Standard Research Classification > ENVIRONMENTAL SCIENCES (050000) > ENVIRONMENTAL SCIENCE AND MANAGEMENT (050200) > Environmental Monitoring (050206)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Virtual Reality and Related Simulation (080111)
|Divisions:||Current > Research Centres > ARC Centre of Excellence for Mathematical & Statistical Frontiers (ACEMS)
Current > Schools > School of Electrical Engineering & Computer Science
Current > Schools > School of Mathematical Sciences
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2016 Elsevier|
|Copyright Statement:||Licensed under the Creative Commons Attribution; Non-Commercial; No-Derivatives 4.0 International. DOI 10.1016/j.spasta.2016.07.001|
|Deposited On:||30 Aug 2016 04:54|
|Last Modified:||06 Sep 2016 18:01|
Repository Staff Only: item control page