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A Framework to Conduct and Report on Empirical User Studies in Semantic Web Contexts
University of Lisbon, Portugal.
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, Faculty of Science & Engineering.
Fraunhofer IAIS, Germany.
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, The Institute of Technology. (IDA/ADIT)ORCID iD: 0000-0002-9084-0470
2018 (English)In: Knowledge Engineering and Knowledge Management 21st International Conference, EKAW 2018, Nancy, France, November 12-16, 2018, Proceedings / [ed] Catherine Faron Zucker, Chiara Ghidini, Amedeo Napoli, Yannick Toussaint, 2018, p. 567-583Conference paper, Published paper (Refereed)
Abstract [en]

Semantic Web technologies are being applied to increasingly diverse areas where user involvement is crucial. While a number of user interfaces for Semantic Web systems have become available in the past years, their evaluation and reporting often still suffer from weaknesses. Empirical evaluations are essential to compare different approaches, demonstrate their benefits and reveal their drawbacks, and thus to facilitate further adoption of Semantic Web technologies. In this paper, we review empirical user studies of user interfaces, visualizations and interaction techniques recently published at relevant Semantic Web venues, assessing both the user studies themselves and their reporting. We then chart the design space of available methods for user studies in Semantic Web contexts. Finally, we propose a framework for their comprehensive reporting, taking into consideration user expertise, experimental setup, task design, experimental procedures and results analysis.

Place, publisher, year, edition, pages
2018. p. 567-583
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 11313
National Category
Computer Sciences Human Computer Interaction
Identifiers
URN: urn:nbn:se:liu:diva-152578DOI: 10.1007/978-3-030-03667-6_36OAI: oai:DiVA.org:liu-152578DiVA, id: diva2:1261778
Conference
21st International Conference on Knowledge Engineering and Knowledge Management
Funder
Swedish e‐Science Research CenterAvailable from: 2018-11-08 Created: 2018-11-08 Last updated: 2018-11-21

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Ivanova, Valentina

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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Output format
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