Evaluating the Utility of Multiple Workspaces and Easy Chart Creation for Visual Analytics

Swaroop Panda; Wolfgang Stuerzlinger

doi:10.1007/978-3-031-93835-1_7

Evaluating the Utility of Multiple Workspaces and Easy Chart Creation for Visual Analytics

Swaroop Panda^*, Wolfgang Stuerzlinger

^*Corresponding author for this work

School of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Visual Analytics involves interactive visual exploration of data sets. Interaction methods allow data analysts to explore different aspects and investigate various hypotheses. This work investigates if chart creation and multiple tabs enable analysts to pursue multiple hypotheses or analysis paths better than other approaches. To evaluate this, new features were added to an existing Visual Analytics prototype with a multi-tab design. Two user studies with professional data analysts confirmed the utility of our approach within the Visual Analytics process. Analysts can easily work within multiple workspaces, enabling them to frame and track multiple hypotheses about the data and pursue different exploratory analysis paths, ultimately yielding more comprehensive analysis outcomes.

Original language	English
Title of host publication	Human-Computer Interaction
Subtitle of host publication	Thematic Area, HCI 2025, Held as Part of the 27th HCI International Conference, HCII 2025, Gothenburg, Sweden, June 22–27, 2025, Proceedings, Part I
Editors	Masaaki Kurosu, Ayako Hashizume
Place of Publication	Cham, Switzerland
Publisher	Springer
Pages	103-122
Number of pages	20
Edition	1st
ISBN (Electronic)	9783031938351
ISBN (Print)	9783031938344
DOIs	https://doi.org/10.1007/978-3-031-93835-1_7
Publication status	Published - 31 May 2025
Event	HCI INTERNATIONAL 2025: 27th International Conference on Human-Computer Interaction - Gothia Towers Hotel and Swedish Exhibition & Congress Centre, Gothenburg, Sweden Duration: 22 Jun 2025 → 27 Jun 2025 https://2025.hci.international/

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Number	1
Volume	15766
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	HCI INTERNATIONAL 2025
Country/Territory	Sweden
City	Gothenburg
Period	22/06/25 → 27/06/25
Internet address	https://2025.hci.international/

Keywords

Dashboards
Visual Analytics
User Studies

Access to Document

10.1007/978-3-031-93835-1_7

Cite this

Panda, S., & Stuerzlinger, W. (2025). Evaluating the Utility of Multiple Workspaces and Easy Chart Creation for Visual Analytics. In M. Kurosu, & A. Hashizume (Eds.), Human-Computer Interaction: Thematic Area, HCI 2025, Held as Part of the 27th HCI International Conference, HCII 2025, Gothenburg, Sweden, June 22–27, 2025, Proceedings, Part I (1st ed., pp. 103-122). (Lecture Notes in Computer Science; Vol. 15766, No. 1). Springer. https://doi.org/10.1007/978-3-031-93835-1_7

Panda, Swaroop ; Stuerzlinger, Wolfgang. / Evaluating the Utility of Multiple Workspaces and Easy Chart Creation for Visual Analytics. Human-Computer Interaction: Thematic Area, HCI 2025, Held as Part of the 27th HCI International Conference, HCII 2025, Gothenburg, Sweden, June 22–27, 2025, Proceedings, Part I. editor / Masaaki Kurosu ; Ayako Hashizume. 1st. ed. Cham, Switzerland : Springer, 2025. pp. 103-122 (Lecture Notes in Computer Science; 1).

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abstract = "Visual Analytics involves interactive visual exploration of data sets. Interaction methods allow data analysts to explore different aspects and investigate various hypotheses. This work investigates if chart creation and multiple tabs enable analysts to pursue multiple hypotheses or analysis paths better than other approaches. To evaluate this, new features were added to an existing Visual Analytics prototype with a multi-tab design. Two user studies with professional data analysts confirmed the utility of our approach within the Visual Analytics process. Analysts can easily work within multiple workspaces, enabling them to frame and track multiple hypotheses about the data and pursue different exploratory analysis paths, ultimately yielding more comprehensive analysis outcomes.",

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Panda, S & Stuerzlinger, W 2025, Evaluating the Utility of Multiple Workspaces and Easy Chart Creation for Visual Analytics. in M Kurosu & A Hashizume (eds), Human-Computer Interaction: Thematic Area, HCI 2025, Held as Part of the 27th HCI International Conference, HCII 2025, Gothenburg, Sweden, June 22–27, 2025, Proceedings, Part I. 1st edn, Lecture Notes in Computer Science, no. 1, vol. 15766, Springer, Cham, Switzerland, pp. 103-122, HCI INTERNATIONAL 2025, Gothenburg, Sweden, 22/06/25. https://doi.org/10.1007/978-3-031-93835-1_7

Evaluating the Utility of Multiple Workspaces and Easy Chart Creation for Visual Analytics. / Panda, Swaroop; Stuerzlinger, Wolfgang.
Human-Computer Interaction: Thematic Area, HCI 2025, Held as Part of the 27th HCI International Conference, HCII 2025, Gothenburg, Sweden, June 22–27, 2025, Proceedings, Part I. ed. / Masaaki Kurosu; Ayako Hashizume. 1st. ed. Cham, Switzerland: Springer, 2025. p. 103-122 (Lecture Notes in Computer Science; Vol. 15766, No. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Stuerzlinger, Wolfgang

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N2 - Visual Analytics involves interactive visual exploration of data sets. Interaction methods allow data analysts to explore different aspects and investigate various hypotheses. This work investigates if chart creation and multiple tabs enable analysts to pursue multiple hypotheses or analysis paths better than other approaches. To evaluate this, new features were added to an existing Visual Analytics prototype with a multi-tab design. Two user studies with professional data analysts confirmed the utility of our approach within the Visual Analytics process. Analysts can easily work within multiple workspaces, enabling them to frame and track multiple hypotheses about the data and pursue different exploratory analysis paths, ultimately yielding more comprehensive analysis outcomes.

AB - Visual Analytics involves interactive visual exploration of data sets. Interaction methods allow data analysts to explore different aspects and investigate various hypotheses. This work investigates if chart creation and multiple tabs enable analysts to pursue multiple hypotheses or analysis paths better than other approaches. To evaluate this, new features were added to an existing Visual Analytics prototype with a multi-tab design. Two user studies with professional data analysts confirmed the utility of our approach within the Visual Analytics process. Analysts can easily work within multiple workspaces, enabling them to frame and track multiple hypotheses about the data and pursue different exploratory analysis paths, ultimately yielding more comprehensive analysis outcomes.

KW - Dashboards

KW - Visual Analytics

KW - User Studies

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Panda S, Stuerzlinger W. Evaluating the Utility of Multiple Workspaces and Easy Chart Creation for Visual Analytics. In Kurosu M, Hashizume A, editors, Human-Computer Interaction: Thematic Area, HCI 2025, Held as Part of the 27th HCI International Conference, HCII 2025, Gothenburg, Sweden, June 22–27, 2025, Proceedings, Part I. 1st ed. Cham, Switzerland: Springer. 2025. p. 103-122. (Lecture Notes in Computer Science; 1). Epub 2025 May 30. doi: 10.1007/978-3-031-93835-1_7

Evaluating the Utility of Multiple Workspaces and Easy Chart Creation for Visual Analytics

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