Human-Computer Collaboration for Visual Analytics: an Agent-based Framework

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dc.contributor.authorMonadjemi, Shayanen_US
dc.contributor.authorGuo, Mengtianen_US
dc.contributor.authorGotz, Daviden_US
dc.contributor.authorGarnett, Romanen_US
dc.contributor.authorOttley, Alvittaen_US
dc.contributor.editorBujack, Roxanaen_US
dc.contributor.editorArchambault, Danielen_US
dc.contributor.editorSchreck, Tobiasen_US
dc.date.accessioned2023-06-10T06:16:44Z
dc.date.available2023-06-10T06:16:44Z
dc.date.issued2023
dc.description.abstractThe visual analytics community has long aimed to understand users better and assist them in their analytic endeavors. As a result, numerous conceptual models of visual analytics aim to formalize common workflows, techniques, and goals leveraged by analysts. While many of the existing approaches are rich in detail, they each are specific to a particular aspect of the visual analytic process. Furthermore, with an ever-expanding array of novel artificial intelligence techniques and advances in visual analytic settings, existing conceptual models may not provide enough expressivity to bridge the two fields. In this work, we propose an agent-based conceptual model for the visual analytic process by drawing parallels from the artificial intelligence literature. We present three examples from the visual analytics literature as case studies and examine them in detail using our framework. Our simple yet robust framework unifies the visual analytic pipeline to enable researchers and practitioners to reason about scenarios that are becoming increasingly prominent in the field, namely mixed-initiative, guided, and collaborative analysis. Furthermore, it will allow us to characterize analysts, visual analytic settings, and guidance from the lenses of human agents, environments, and artificial agents, respectively.en_US
dc.description.number3
dc.description.sectionheadersVisual Analysis and Processes
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume42
dc.identifier.doi10.1111/cgf.14823
dc.identifier.issn1467-8659
dc.identifier.pages199-210
dc.identifier.pages12 pages
dc.identifier.urihttps://doi.org/10.1111/cgf.14823
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf14823
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectCCS Concepts: Human-centered computing -> Visual analytics; Computing methodologies -> Multi-agent systems; Intelligent agents
dc.subjectHuman centered computing
dc.subjectVisual analytics
dc.subjectComputing methodologies
dc.subjectMulti
dc.subjectagent systems
dc.subjectIntelligent agents
dc.titleHuman-Computer Collaboration for Visual Analytics: an Agent-based Frameworken_US
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