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dc.contributor.authorCardier, Beth
dc.contributor.authorNielsen, Alex
dc.contributor.authorShull, John
dc.contributor.authorSanford, Larry D
dc.contributor.editorLawless, William F
dc.contributor.editorMittu, Ranjeev
dc.contributor.editorSofge, Donald A
dc.contributor.editorShortnell, Thomas
dc.contributor.editorMcDermott, Thomas A
dc.date.accessioned2022-01-31T23:36:32Z
dc.date.available2022-01-31T23:36:32Z
dc.date.issued2021
dc.identifier.isbn9783030772833en_US
dc.identifier.doi10.1007/978-3-030-77283-3_25en_US
dc.identifier.urihttp://hdl.handle.net/10072/411661
dc.description.abstractOpen-world processes generate information that cannot be captured in a single data set. In fields such as medicine and defense, where precise information can be life-saving, a modeling paradigm is needed in which multiple media and contexts can be logically and visually integrated, in order to inform the engineering of large systems. One barrier is the underlying ontological heterogeneity that multiple contexts can exhibit, along with the need for those facts to be compatible with or translated between domains and situations. Another barrier is the dynamism and influence of context, which has traditionally been difficult to represent. This chapter describes a method for modeling the changes of interpretation that occur when facts cross-over context boundaries, whether those contexts are differentiated by discipline, time or perspective (or all three). We that processing Here, a new modeling environment is developed in which those transitions can be visualized. Our prototype modeling platform, Wunderkammer, can connect video, text, image and data while representing the context from which these artifacts were derived. It can also demonstrate transfers of information among situations, enabling the depiction of influence. Our example focuses on post-traumatic stress disorder (PTSD), combining psychological, neurological and physiological information, with a view to informing the aggregation of information in intelligent systems. These different forms of information are connected in a single modeling space using a narrative-based visual grammar. The goal is to develop a method and tool that supports the integration of information from different fields in order to model changing phenomena in an open world, with a focus on detecting emerging disorders. In turn, this will ultimately support more powerful knowledge systems for fields such as neurobiology, autonomous systems and artificial intelligence (AI).en_US
dc.description.peerreviewedYesen_US
dc.description.sponsorshipThe Trusted Autonomous Systems Defence CRC (TAS DCRC)en_US
dc.languageEnglishen_US
dc.publisherSpringer Natureen_US
dc.publisher.placeCham, Switzerlanden_US
dc.relation.ispartofbooktitleSystems Engineering and Artificial Intelligenceen_US
dc.relation.ispartofchapter25en_US
dc.relation.ispartofchapternumbers25en_US
dc.relation.ispartofpagefrom535en_US
dc.relation.ispartofpageto569en_US
dc.subject.fieldofresearchCreative and professional writingen_US
dc.subject.fieldofresearchKnowledge representation and reasoningen_US
dc.subject.fieldofresearchGraphics, augmented reality and gamesen_US
dc.subject.fieldofresearchcode3602en_US
dc.subject.fieldofresearchcode460206en_US
dc.subject.fieldofresearchcode4607en_US
dc.titleOutside the Lines: Visualizing Influence Across Heterogeneous Contexts in PTSDen_US
dc.typeBook chapteren_US
dc.type.descriptionB1 - Chaptersen_US
dcterms.bibliographicCitationCardier, B; Nielsen, A; Shull, J; Sanford, LD, Outside the Lines: Visualizing Influence Across Heterogeneous Contexts in PTSD, Systems Engineering and Artificial Intelligence, 2021, pp. 535-569en_US
dc.date.updated2022-01-24T03:17:43Z
dc.description.versionAccepted Manuscript (AM)en_US
gro.rights.copyright© 2021 Springer. This is the author-manuscript version of this paper. It is reproduced here in accordance with the copyright policy of the publisher. Please refer to the publisher’s website for further information.en_US
gro.hasfulltextFull Text
gro.griffith.authorCardier, Beth


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