Learning and Teaching in Co-Adaptive Guidance for Mixed-Initiative Visual Analytics

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dc.contributor.authorSperrle, Fabianen_US
dc.contributor.authorJeitler, Astriken_US
dc.contributor.authorBernard, Jürgenen_US
dc.contributor.authorKeim, Daniel A.en_US
dc.contributor.authorEl-Assady, Mennatallahen_US
dc.contributor.editorTurkay, Cagatay and Vrotsou, Katerinaen_US
dc.date.accessioned2020-05-24T13:31:31Z
dc.date.available2020-05-24T13:31:31Z
dc.date.issued2020
dc.description.abstractGuidance processes in visual analytics applications often lack adaptivity. In this position paper, we contribute the concept of co-adaptive guidance, building on the principles of initiation and adaptation. We argue that both the user and the system adapt their data-, task- and user/system-models over time. Based on these principles, we propose reasoning about the guidance design space through introducing the concepts of learning and teaching that complement the existing dimension of implicit and explicit guidance, thus, deriving the four guidance dynamics user-teaching, system-teaching, user-learning, and system-learning. Finally, we classify current guidance approaches according to the dynamics, demonstrating their applicability to co-adaptive guidance.en_US
dc.description.sectionheadersIntersecting Humans and AI
dc.description.seriesinformationEuroVis Workshop on Visual Analytics (EuroVA)
dc.identifier.doi10.2312/eurova.20201088
dc.identifier.isbn978-3-03868-116-8
dc.identifier.issn2664-4487
dc.identifier.pages61-65
dc.identifier.urihttps://doi.org/10.2312/eurova.20201088
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/eurova20201088
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/]
dc.titleLearning and Teaching in Co-Adaptive Guidance for Mixed-Initiative Visual Analyticsen_US
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