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

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Date
2023
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Journal ISSN
Volume Title
Publisher
The Eurographics Association and John Wiley & Sons Ltd.
Abstract
The 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.
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CCS Concepts: Human-centered computing -> Visual analytics; Computing methodologies -> Multi-agent systems; Intelligent agents

        
@article{
10.1111:cgf.14823
, journal = {Computer Graphics Forum}, title = {{
Human-Computer Collaboration for Visual Analytics: an Agent-based Framework
}}, author = {
Monadjemi, Shayan
and
Guo, Mengtian
and
Gotz, David
and
Garnett, Roman
and
Ottley, Alvitta
}, year = {
2023
}, publisher = {
The Eurographics Association and John Wiley & Sons Ltd.
}, ISSN = {
1467-8659
}, DOI = {
10.1111/cgf.14823
} }
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