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Data characterization for intelligent graphics presentation

Authors:

Steven F. Roth,

Joe MattisAuthors Info & Claims

CHI '90: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Pages 193 - 200

https://doi.org/10.1145/97243.97273

Published: 01 March 1990 Publication History

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Abstract

An automatic presentation system is an intelligent interface component which receives information from a user or application program and designs a combination of graphics and text that effectively conveys it. It is a facility that assumes the presentation responsibilities for other programs. An important research question has been how information should be specified or described by an application program for it to be presented by an automatic presenter. This paper proposes a taxonomy of information characteristics which would need to be provided to either human or computer designers for them to create presentations reflecting the individual needs of a diverse group of users. The proposed taxonomy of characteristics defines the representational goals for intelligent interfaces which reason about graphical displays.

References

[1]

Arens, Y., Miller, L., and Sondheimer, N. Presentation Planning Using an integrated Knowledge Base. In Architectures for Intelligent Interfaces: Elements and Prototypes, Sullivan, J. and Tyler, S., Ed., Addison- Wesley, Reading, Mass, 1990.

Digital Library

Google Scholar

[2]

Bertha, Jacques. Semiology of Graphics. The University of Wisconsin Press, 1983.

Digital Library

Google Scholar

[3]

Feiner, S. An Architecture for Knowledge-Based Graphical Interfaces. In Architectures for Intelligent Interfaces: Elements and Prototypes, Sullivan, J. and Tyler, S., Ed., Addison-Wesley, Reading, Mass, 1990.

Digital Library

Google Scholar

[4]

Gargan, R.A., Sullivan, J.W., and Tyler, S.W. Multimodal Response Planning: An Adaptive Rule Based Approach. CHI "88 - Human Factors in Computing Systems, ACM/SIGCHI, Washington, D.C., May, 1988, pp. 229-234.

Digital Library

Google Scholar

[5]

Kosslyn, S.M. "Graphics and Humm~ Information Processing - A Review of Five Books". Journal of the American Statistical Association 80, 391 (September 1985), 499-512.

Crossref

Google Scholar

[6]

Mackinlay, J.D. "Automating the Design of Graphical Presentations of Relational Information". ACM Transactions on Graphics 5, 2 (April 1986), 110-141.

Digital Library

Google Scholar

[7]

McKeown, K.R. "Discourse Strategies for Generating Natural-Language Text". Artificial Intelligence 27 (1985), 1-4.1.

Digital Library

Google Scholar

[8]

Neal, J. and Shapiro, S. Intelligent Multi-Media Interface Technology. In Architectures for Intelligent Interfaces: Elements and Prototypes, Sullivan, J. and Tyler, S., Ed., Addison-Wesley, Reading, Mass, 1990.

Digital Library

Google Scholar

[9]

Roth, S.F., Mattis, J.A., and Mesnard, X.A. Graphics and Natural Language as Components of Automatic Explanation. In Architectures for Intelligent Interfaces: Elements and Prototypes, Sullivan, J. and Tyler, S., Ed., Addison-Wesley, Reading, Mass, 1990.

Google Scholar

[10]

Ullman, Jeffrey. Principles of Database Systems. Computer Science Press, 1982.

Digital Library

Google Scholar

Cited By

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Prakash YKhan PNayak AJayarathna SLee HAshok V(2024)Towards Enhancing Low Vision Usability of Data Charts on SmartphonesIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2024.345634831:1(853-863)Online publication date: 20-Sep-2024
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Zhu JWu MZhou YCao NZhu HZhu M(2024)Dowsing: a task-driven approach for multiple-view visualizations dynamic recommendationJournal of Visualization10.1007/s12650-024-00989-927:4(695-712)Online publication date: 17-Apr-2024
https://doi.org/10.1007/s12650-024-00989-9
Bertrand AViard TBelloum REagan JMaxwell W(2023)On Selective, Mutable and Dialogic XAI: a Review of What Users Say about Different Types of Interactive ExplanationsProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581314(1-21)Online publication date: 19-Apr-2023
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Data characterization for intelligent graphics presentation

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Published In

CHI '90: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

March 1990

474 pages

ISBN:0201509326

DOI:10.1145/97243

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 01 March 1990

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CHI90

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SIGCHI

CHI90: Conference on Human Factors in Computing

April 1 - 5, 1990

Washington, Seattle, USA

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CHI '90 Paper Acceptance Rate 47 of 260 submissions, 18%;

Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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Cited By

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Prakash YKhan PNayak AJayarathna SLee HAshok V(2024)Towards Enhancing Low Vision Usability of Data Charts on SmartphonesIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2024.345634831:1(853-863)Online publication date: 20-Sep-2024
https://dl.acm.org/doi/10.1109/TVCG.2024.3456348
Zhu JWu MZhou YCao NZhu HZhu M(2024)Dowsing: a task-driven approach for multiple-view visualizations dynamic recommendationJournal of Visualization10.1007/s12650-024-00989-927:4(695-712)Online publication date: 17-Apr-2024
https://doi.org/10.1007/s12650-024-00989-9
Bertrand AViard TBelloum REagan JMaxwell W(2023)On Selective, Mutable and Dialogic XAI: a Review of What Users Say about Different Types of Interactive ExplanationsProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581314(1-21)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581314
Gleicher MRiveiro Mvon Landesberger TDeussen OChang RGillman C(2023)A Problem Space for Designing VisualizationsIEEE Computer Graphics and Applications10.1109/MCG.2023.326721343:4(111-120)Online publication date: 1-Jul-2023
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Dimara EStasko J(2022)A Critical Reflection on Visualization Research: Where Do Decision Making Tasks Hide?IEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2021.311481328:1(1128-1138)Online publication date: Jan-2022
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Shen LShen ETai ZXu YDong JWang J(2022)Visual Data Analysis with Task-Based RecommendationsData Science and Engineering10.1007/s41019-022-00195-37:4(354-369)Online publication date: 13-Sep-2022
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Nguyen NPham VDang T(2021)HMaViz: Human-machine analytics for visual recommendationProceedings of the 12th International Conference on Advances in Information Technology10.1145/3468784.3471601(1-9)Online publication date: 29-Jun-2021
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Bogina VSheidin JKuflik TBerkovsky S(2020)Visualizing Program Genres' Temporal-Based Similarity in Linear TV RecommendationsProceedings of the 2020 International Conference on Advanced Visual Interfaces10.1145/3399715.3399813(1-5)Online publication date: 28-Sep-2020
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Sheidin JLanir JConati CToker DKuflik TPaternò FOliver NConati CSpano LTintarev N(2020)The effect of user characteristics in time series visualizationsProceedings of the 25th International Conference on Intelligent User Interfaces10.1145/3377325.3377502(380-389)Online publication date: 17-Mar-2020
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Suwanworaboon PLynden STuarob S(2020)Enhancing Visualization Applications Using Open Data Sources2020 17th International Joint Conference on Computer Science and Software Engineering (JCSSE)10.1109/JCSSE49651.2020.9268315(30-35)Online publication date: 4-Nov-2020
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