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Co-Designing Visualizations for Information Seeking and Knowledge Management

  • Creativity is a crucial factor in finding novel and useful visualization and interaction techniques, but its emergence is contingent on the right conditions. The focus of visualization research has traditionally been on techniques, and to a lesser degree on the process of creating them with domain experts and end users. This paper focuses on the collaborative design of visualizations for information seeking and knowledge management. The difficult, yet common challenge in any visualization project is to find meaningful visual representations and useful interaction techniques to carry out complex analysis tasks. The unique difficulty for preparing co-design activities for visualization lies in the gap between the abstract nature of data and the concrete form of visual representations. To bridge this gap, our co-design framework for visualization places particular emphasis on actors, activities, and artifacts as categories that expand the focus of visualization design beyond the traditional triad of users, tasks, and data. Drawing fromCreativity is a crucial factor in finding novel and useful visualization and interaction techniques, but its emergence is contingent on the right conditions. The focus of visualization research has traditionally been on techniques, and to a lesser degree on the process of creating them with domain experts and end users. This paper focuses on the collaborative design of visualizations for information seeking and knowledge management. The difficult, yet common challenge in any visualization project is to find meaningful visual representations and useful interaction techniques to carry out complex analysis tasks. The unique difficulty for preparing co-design activities for visualization lies in the gap between the abstract nature of data and the concrete form of visual representations. To bridge this gap, our co-design framework for visualization places particular emphasis on actors, activities, and artifacts as categories that expand the focus of visualization design beyond the traditional triad of users, tasks, and data. Drawing from general co-design principles, the framework is developed and validated during the course of two case studies in the context of information management systems and library collection databases. Based on observed patterns during the case studies, practical tactics provide advice on carrying out co-design in information visualization.zeige mehrzeige weniger

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Metadaten
Verfasserangaben:Marian DörkORCiD, Boris MüllerGND, Jan-Erik Stange, Johannes Herseni, Katja Dittrich
URN:urn:nbn:de:kobv:525-26188
DOI:https://doi.org/10.1515/opis-2020-0102
ISSN:2451-1781
Titel des übergeordneten Werkes (Englisch):Open Information Science
Verlag:De Gruyter Saur
Verlagsort:Berlin
Dokumentart:Wissenschaftlicher Artikel
Sprache:Englisch
Datum der Veröffentlichung (online):08.03.2022
Jahr der Erstveröffentlichung:2020
Veröffentlichende Institution:Fachhochschule Potsdam
Datum der Freischaltung:08.03.2022
Freies Schlagwort / Tag:Co-design; Information Visualization
GND-Schlagwort:Methodologie; Wissensmanagement; Informationsverhalten; Mensch-Maschine-Kommunikation
Jahrgang:4
Ausgabe / Heft:1
Erste Seite:217
Letzte Seite:235
Fachbereiche und Zentrale Einrichtungen:FB4 Design
DDC-Klassifikation:000 Informatik, Informationswissenschaft, allgemeine Werke / 000 Informatik, Wissen, Systeme
Lizenz (Deutsch):License LogoCreative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International
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