research-article

Semantic Interaction: Coupling Cognition and Computation through Usable Interactive Analytics

Authors:

Alex Endert,

Remco Chang,

Chris North,

Michelle ZhouAuthors Info & Claims

IEEE Computer Graphics and Applications, Volume 35, Issue 4

Pages 94 - 99

https://doi.org/10.1109/MCG.2015.91

Published: 01 July 2015 Publication History

Abstract

The success of visual analytics is predicated on the ability of users to interactively explore information. Humans think about their data through interactive visual exploration, including testing hypotheses, exploring anomalies, and other cognitive processes of building understanding from data. The claim that these insights are generated as a result of the interaction led the attendees at the Pacific Northwest National Laboratory (PNNL) workshop on "Semantic Interaction: Coupling Cognition and Computation through Usable Interactive Analytics" to posit that user interaction must play a more central role in visual analytics systems, serving as the method for coupling cognition and computation. The claims and design principles discussed in this workshop report present research directions to advance visual analytics via a user interaction approach called semantic interaction.

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A. Endert, “Semantic Interaction for Visual Analytics: Toward Coupling Cognition and Computation,” IEEE Computer Graphics and Applications, vol. 34, no. 4, 2014, pp. 8–15.

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A. Endert, P. Fiaux, and C. North, “Semantic Interaction for Visual Text Analytics,” Proc. SIGCHI Conf. Human Factors in Computing (CHI), 2012, pp. 473–482.

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A. Endert, P. Fiaux, and C. North, “Semantic Interaction for Sensemaking: Inferring Analytical Reasoning for Model Steering,” IEEE Trans. Visualization and Computer Graphics, vol. 18, no. 12, 2012, pp. 2879–2888.

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Subramonyam HPea RPondoc CAgrawala MSeifert C(2024)Bridging the Gulf of Envisioning: Cognitive Challenges in Prompt Based Interactions with LLMsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642754(1-19)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642754
Han HFaust RKeith Norambuena BLin JLi SNorth C(2023)Explainable interactive projections of imagesMachine Vision and Applications10.1007/s00138-023-01452-934:6Online publication date: 13-Sep-2023
https://dl.acm.org/doi/10.1007/s00138-023-01452-9
Han HFaust RNorambuena BPrabhu RSmith TLi SNorth C(2022)Explainable Interactive Projections for Image DataAdvances in Visual Computing10.1007/978-3-031-20713-6_6(77-90)Online publication date: 3-Oct-2022
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Index Terms

Semantic Interaction: Coupling Cognition and Computation through Usable Interactive Analytics
1. Computing methodologies
2. Human-centered computing
  1. Human computer interaction (HCI)

Index terms have been assigned to the content through auto-classification.

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cover image IEEE Computer Graphics and Applications

IEEE Computer Graphics and Applications Volume 35, Issue 4

July-Aug. 2015

106 pages

ISSN:0272-1716

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IEEE Computer Society Press

Washington, DC, United States

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Published: 01 July 2015

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Subramonyam HPea RPondoc CAgrawala MSeifert C(2024)Bridging the Gulf of Envisioning: Cognitive Challenges in Prompt Based Interactions with LLMsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642754(1-19)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642754
Han HFaust RKeith Norambuena BLin JLi SNorth C(2023)Explainable interactive projections of imagesMachine Vision and Applications10.1007/s00138-023-01452-934:6Online publication date: 13-Sep-2023
https://dl.acm.org/doi/10.1007/s00138-023-01452-9
Han HFaust RNorambuena BPrabhu RSmith TLi SNorth C(2022)Explainable Interactive Projections for Image DataAdvances in Visual Computing10.1007/978-3-031-20713-6_6(77-90)Online publication date: 3-Oct-2022
https://dl.acm.org/doi/10.1007/978-3-031-20713-6_6
Bian YNorth CHammond TVerbert KParra DKnijnenburg BO'Donovan JTeale P(2021)DeepSI: Interactive Deep Learning for Semantic InteractionProceedings of the 26th International Conference on Intelligent User Interfaces10.1145/3397481.3450670(197-207)Online publication date: 14-Apr-2021
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Takami RShibata HTakama YPaternò FOliver NConati CSpano LTintarev N(2020)An analytical framework for formulating metrics for evaluating multi-dimensional time-series dataProceedings of the 25th International Conference on Intelligent User Interfaces10.1145/3377325.3377529(207-211)Online publication date: 17-Mar-2020
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Morgan RGrossmann GSchrefl MStumptner M(2019)A Model-Driven Approach for Visualisation ProcessesProceedings of the Australasian Computer Science Week Multiconference10.1145/3290688.3290698(1-10)Online publication date: 29-Jan-2019
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Orban DKeefe DBiswas AAhrens JRogers D(2019)Drag and Track: A Direct Manipulation Interface for Contextualizing Data Instances within a Continuous Parameter SpaceIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2018.286505125:1(256-266)Online publication date: 1-Jan-2019
https://dl.acm.org/doi/10.1109/TVCG.2018.2865051

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Semantic interaction for visual text analytics

Semantic Interaction for Visual Analytics: Inferring Analytical Reasoning for Model Steering

Comparing Tangible and Multi-touch Interaction for Interactive Data Visualization Tasks

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