Learning and Teaching in Co-Adaptive Guidance for Mixed-Initiative Visual Analytics
Dateien
Datum
Autor:innen
Herausgeber:innen
ISSN der Zeitschrift
Electronic ISSN
ISBN
Bibliografische Daten
Verlag
Schriftenreihe
Auflagebezeichnung
URI (zitierfähiger Link)
DOI (zitierfähiger Link)
Internationale Patentnummer
Link zur Lizenz
Angaben zur Forschungsförderung
Projekt
Open Access-Veröffentlichung
Sammlungen
Core Facility der Universität Konstanz
Titel in einer weiteren Sprache
Publikationstyp
Publikationsstatus
Erschienen in
Zusammenfassung
Guidance 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.
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
Schlagwörter
Konferenz
Rezension
Zitieren
ISO 690
SPERRLE, Fabian, Astrik Veronika JEITLER, Jürgen BERNARD, Daniel A. KEIM, Mennatallah EL-ASSADY, 2020. Learning and Teaching in Co-Adaptive Guidance for Mixed-Initiative Visual Analytics. EuroVis Workshop on Visual Analytics (EuroVA). Norrköping, Sweden, 25. Mai 2020. In: TURKAY, Cagatay, ed., Katerina VROTSOU, ed.. EuroVis Workshop on Visual Analytics (EuroVA). Goslar: Eurographics Association, 2020, pp. 61-65. eISSN 2664-4487. ISBN 978-3-03868-116-8. Available under: doi: 10.2312/eurova.20201088BibTex
@inproceedings{Sperrle2020Learn-49750, year={2020}, doi={10.2312/eurova.20201088}, title={Learning and Teaching in Co-Adaptive Guidance for Mixed-Initiative Visual Analytics}, url={https://diglib.eg.org/handle/10.2312/eurova20201088}, isbn={978-3-03868-116-8}, publisher={Eurographics Association}, address={Goslar}, booktitle={EuroVis Workshop on Visual Analytics (EuroVA)}, pages={61--65}, editor={Turkay, Cagatay and Vrotsou, Katerina}, author={Sperrle, Fabian and Jeitler, Astrik Veronika and Bernard, Jürgen and Keim, Daniel A. and El-Assady, Mennatallah} }
RDF
<rdf:RDF xmlns:dcterms="http://purl.org/dc/terms/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:void="http://rdfs.org/ns/void#" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/49750"> <dc:creator>El-Assady, Mennatallah</dc:creator> <dc:rights>terms-of-use</dc:rights> <dc:creator>Bernard, Jürgen</dc:creator> <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/> <dc:contributor>Keim, Daniel A.</dc:contributor> <dc:language>eng</dc:language> <dc:contributor>Jeitler, Astrik Veronika</dc:contributor> <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/49750/1/Sperrle_2-kjswtvqsyubb9.pdf"/> <dc:contributor>Bernard, Jürgen</dc:contributor> <dcterms:title>Learning and Teaching in Co-Adaptive Guidance for Mixed-Initiative Visual Analytics</dcterms:title> <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/49750/1/Sperrle_2-kjswtvqsyubb9.pdf"/> <dc:contributor>El-Assady, Mennatallah</dc:contributor> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2020-05-29T09:34:39Z</dc:date> <dc:contributor>Sperrle, Fabian</dc:contributor> <dcterms:abstract xml:lang="eng">Guidance 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.</dcterms:abstract> <foaf:homepage rdf:resource="http://localhost:8080/"/> <dc:creator>Sperrle, Fabian</dc:creator> <dc:creator>Jeitler, Astrik Veronika</dc:creator> <dc:creator>Keim, Daniel A.</dc:creator> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2020-05-29T09:34:39Z</dcterms:available> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/> <dcterms:issued>2020</dcterms:issued> <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/49750"/> </rdf:Description> </rdf:RDF>