KOPS - The Institutional Repository of the University of Konstanz

Shall we play? : Extending the Visual Analytics Design Space through Gameful Design Concepts

Shall we play? : Extending the Visual Analytics Design Space through Gameful Design Concepts

Cite This

Files in this item

Files Size Format View

There are no files associated with this item.

SEVASTJANOVA, Rita, Hanna SCHÄFER, Jürgen BERNARD, Daniel A. KEIM, Mennatallah EL-ASSADY, 2019. Shall we play? : Extending the Visual Analytics Design Space through Gameful Design Concepts. MLUI 2019 : Machine Learning from User Interactions for Visualization and Analytics, IEEE VIS 2019 workshop. Vancouver, Canada, Oct 20, 2019. In: Machine Learning from User Interactions for Visualization and Analytics, IEEE VIS 2019 workshop

@inproceedings{Sevastjanova2019Shall-47309, title={Shall we play? : Extending the Visual Analytics Design Space through Gameful Design Concepts}, url={https://scibib.dbvis.de/publications/view/845}, year={2019}, booktitle={Machine Learning from User Interactions for Visualization and Analytics, IEEE VIS 2019 workshop}, author={Sevastjanova, Rita and Schäfer, Hanna and Bernard, Jürgen and Keim, Daniel A. and El-Assady, Mennatallah} }

<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/rdf/resource/123456789/47309"> <dc:contributor>El-Assady, Mennatallah</dc:contributor> <dc:contributor>Bernard, Jürgen</dc:contributor> <dcterms:issued>2019</dcterms:issued> <dc:contributor>Keim, Daniel A.</dc:contributor> <dc:contributor>Schäfer, Hanna</dc:contributor> <dc:creator>Bernard, Jürgen</dc:creator> <dc:creator>El-Assady, Mennatallah</dc:creator> <dc:contributor>Sevastjanova, Rita</dc:contributor> <dc:creator>Keim, Daniel A.</dc:creator> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2019-10-24T14:27:32Z</dcterms:available> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/rdf/resource/123456789/36"/> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2019-10-24T14:27:32Z</dc:date> <dc:creator>Sevastjanova, Rita</dc:creator> <foaf:homepage rdf:resource="http://localhost:8080/jspui"/> <dc:creator>Schäfer, Hanna</dc:creator> <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/47309"/> <dc:language>eng</dc:language> <dcterms:title>Shall we play? : Extending the Visual Analytics Design Space through Gameful Design Concepts</dcterms:title> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/rdf/resource/123456789/36"/> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dcterms:abstract xml:lang="eng">Many interactive machine learning workflows in the context of visual analytics encompass the stages of exploration, verification, and knowledge communication. Within these stages, users perform various types of actions based on different human needs. In this position paper, we postulate expanding this workflow by introducing gameful design elements. These can increase a user’s motivation to take actions, to improve a model’s quality, or to exchange insights with others. By combining concepts from visual analytics, human psychology, and gamification, we derive a model for augmenting the visual analytics processes with game mechanics. We argue for automatically learning a parametrization of these game mechanics based on a continuous evaluation of the users’ actions and analysis results. To demonstrate our proposed conceptual model, we illustrate how three existing visual analytics techniques could benefit from incorporating tailored game dynamics. Lastly, we discuss open challenges and point out potential implications for future research.</dcterms:abstract> </rdf:Description> </rdf:RDF>

This item appears in the following Collection(s)

Search KOPS


Browse

My Account