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“Two Heads are Better than One”: Pair-Interviews for Visualization
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-9419-3402
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.
2023 (English)In: 2023 IEEE Visualization and Visual Analytics (VIS), Institute of Electrical and Electronics Engineers (IEEE), 2023Conference paper, Published paper (Refereed)
Abstract [en]

Visualization research methods help us study how visualization systems are used in complex real-world scenarios. One such widely used method is the interview — researchers asking participants specific questions to enrich their understanding. In this work, we introduce the pair-interview technique as a method that relies on two interviewers with specific and delineated roles, instead of one. Pair-interviewing focuses on the mechanics of conducting semi-structured interviews as a pair, and complements other existing visualization interview techniques. Based on a synthesis of the experiences and reflections of researchers in four diverse studies who used pair-interviewing, we outline recommendations for when and how to use pair-interviewing within visualization research studies.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2023.
Series
IEEE Visualization and Visual Analytics, ISSN 2771-9537, E-ISSN 2771-9553
Keywords [en]
visualization, visual analytics, reflection, interviews
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:liu:diva-199936DOI: 10.1109/VIS54172.2023.00050ISI: 001137142800042Scopus ID: 2-s2.0-85182599934ISBN: 9798350325577 (electronic)ISBN: 9798350325584 (electronic)OAI: oai:DiVA.org:liu-199936DiVA, id: diva2:1824804
Conference
IEEE Visualization and Visual Analytics (VIS), Melbourne, Australia, 21-27 October, 2023.
Funder
Wallenberg AI, Autonomous Systems and Software Program (WASP)
Note

Funding: Wallenberg AI, Autonomous Systems and Software Program (WASP) - Knut and Alice Wallenberg Foundation

Available from: 2024-01-08 Created: 2024-01-08 Last updated: 2025-05-28Bibliographically approved
In thesis
1. Shifting Perspectives: Conducting Visualization Research with Entanglement Epistemology
Open this publication in new window or tab >>Shifting Perspectives: Conducting Visualization Research with Entanglement Epistemology
2025 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Foundational theories in visualization offer explanations and models for how people use visualizations to interpret data. A recent turn in visualization research has drawn attention to the ways in which these theories have limited explanatory power. Instead, researchers are drawing on alternative theories of knowledge, or epistemology, to address persistent problems in the field. This dissertation joins the conversation, presenting entanglement theory for visualization as an alternative epistemological theory and illustrative case studies that demonstrate how alternative theory in visualization shifts our attention and thus alters visualization research outcomes.

To support this claim, this dissertation presents two contributions that illustrate the productive capacity of feminist theory to contribute to visualization research. The first contribution is a novel theory for visualization transposed from feminist entanglement theory. Entanglement theory for visualization shifts the definitions of data, visualization, and insight toward relational and situated objects that are inseparable from feminist objects of concern: ethics, power, and privilege. Along with new definitions of data, visualization, and insights, we present three ways we mobilize feminist epistemology across visualization as the second contribution. The second contribution consists of three case studies demonstrating how feminist visualization theory drew our attention to previously ignored aspects of visualization design guidelines, the role of knowledge, and ethics in collaborative frameworks. Each case study illustrates the productive nature of approaching visualization research with an alternative epistemology.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2025. p. 65
Series
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 2459
National Category
Human Computer Interaction
Identifiers
urn:nbn:se:liu:diva-214083 (URN)10.3384/9789181181654 (DOI)9789181181647 (ISBN)9789181181654 (ISBN)
Public defence
2025-09-04, Kåkenhus, Room K3, Campus Norrköping, Norrköping, 14:00 (English)
Opponent
Supervisors
Note

Funding: This dissertation was supported in part by the Wallenberg AI, Autonomous Systems and Software Program (WASP) funded by the Knut and Alice Wallenberg Foundation.

Available from: 2025-05-28 Created: 2025-05-28 Last updated: 2025-06-02Bibliographically approved

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Akbaba, DeryaMeyer, Miriah

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