An application of measuring aesthetics in visualization

Badr Al-Harbi; Ali Alturki; Adel Ahmed

doi:10.1007/978-3-319-46771-9_43

An application of measuring aesthetics in visualization

Badr Al-Harbi^*, Ali Alturki, Adel Ahmed

^*Corresponding author for this work

Department of Information and Computer Science

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

2 Scopus citations

Abstract

It is challenging to efficiently and effectively manage and mine hugesized scientific and engineering data. The challenge takes another dimension when it comes to visualization and data analytics. Without the use of detail-incontext lenses; it has been found that many important details are missed or misinterpreted. Effectiveness of visual comprehension is one of the main goals of collaborative visualization. Various detail-in-context lenses were developed to increase the visual comprehension of 2D and 3D data types by exaggerating the focused area while maintaining context such as fish-eye lenses. These lenses will enhance the cooperative collaborative visualization environment. In this work, an assessment of the effectiveness of a detail-in-context lens is presented. That is by using a set of aesthetics metrics designed to evaluate the visualizations generated by the fish-eye method to optimize the lens parameters. We have developed a framework to test these metrics on hydrocarbon reservoir simulation grids of different model sizes.

Original language	English
Title of host publication	Cooperative Design, Visualization, and Engineering - 13th International Conference, CDVE 2016, Proceedings
Editors	Yuhua Luo
Publisher	Springer Verlag
Pages	332-339
Number of pages	8
ISBN (Print)	9783319467702
DOIs	https://doi.org/10.1007/978-3-319-46771-9_43
State	Published - 2016

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9929 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Bibliographical note

Publisher Copyright:
© Springer International Publishing AG 2016.

Keywords

Aesthetic
Evaluating cooperative visualization environment
Measurement
Metrics
Visualization

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-319-46771-9_43

Cite this

Al-Harbi, B., Alturki, A., & Ahmed, A. (2016). An application of measuring aesthetics in visualization. In Y. Luo (Ed.), Cooperative Design, Visualization, and Engineering - 13th International Conference, CDVE 2016, Proceedings (pp. 332-339). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9929 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-46771-9_43

Al-Harbi, Badr ; Alturki, Ali ; Ahmed, Adel. / An application of measuring aesthetics in visualization. Cooperative Design, Visualization, and Engineering - 13th International Conference, CDVE 2016, Proceedings. editor / Yuhua Luo. Springer Verlag, 2016. pp. 332-339 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{e83685ecd9f04f03a236358f1321f6fc,

title = "An application of measuring aesthetics in visualization",

abstract = "It is challenging to efficiently and effectively manage and mine hugesized scientific and engineering data. The challenge takes another dimension when it comes to visualization and data analytics. Without the use of detail-incontext lenses; it has been found that many important details are missed or misinterpreted. Effectiveness of visual comprehension is one of the main goals of collaborative visualization. Various detail-in-context lenses were developed to increase the visual comprehension of 2D and 3D data types by exaggerating the focused area while maintaining context such as fish-eye lenses. These lenses will enhance the cooperative collaborative visualization environment. In this work, an assessment of the effectiveness of a detail-in-context lens is presented. That is by using a set of aesthetics metrics designed to evaluate the visualizations generated by the fish-eye method to optimize the lens parameters. We have developed a framework to test these metrics on hydrocarbon reservoir simulation grids of different model sizes.",

keywords = "Aesthetic, Evaluating cooperative visualization environment, Measurement, Metrics, Visualization",

author = "Badr Al-Harbi and Ali Alturki and Adel Ahmed",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2016.",

year = "2016",

doi = "10.1007/978-3-319-46771-9_43",

language = "English",

isbn = "9783319467702",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "332--339",

editor = "Yuhua Luo",

booktitle = "Cooperative Design, Visualization, and Engineering - 13th International Conference, CDVE 2016, Proceedings",

address = "Germany",

}

Al-Harbi, B, Alturki, A & Ahmed, A 2016, An application of measuring aesthetics in visualization. in Y Luo (ed.), Cooperative Design, Visualization, and Engineering - 13th International Conference, CDVE 2016, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9929 LNCS, Springer Verlag, pp. 332-339. https://doi.org/10.1007/978-3-319-46771-9_43

An application of measuring aesthetics in visualization. / Al-Harbi, Badr; Alturki, Ali; Ahmed, Adel.
Cooperative Design, Visualization, and Engineering - 13th International Conference, CDVE 2016, Proceedings. ed. / Yuhua Luo. Springer Verlag, 2016. p. 332-339 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9929 LNCS).

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

TY - GEN

T1 - An application of measuring aesthetics in visualization

AU - Al-Harbi, Badr

AU - Alturki, Ali

AU - Ahmed, Adel

PY - 2016

Y1 - 2016

N2 - It is challenging to efficiently and effectively manage and mine hugesized scientific and engineering data. The challenge takes another dimension when it comes to visualization and data analytics. Without the use of detail-incontext lenses; it has been found that many important details are missed or misinterpreted. Effectiveness of visual comprehension is one of the main goals of collaborative visualization. Various detail-in-context lenses were developed to increase the visual comprehension of 2D and 3D data types by exaggerating the focused area while maintaining context such as fish-eye lenses. These lenses will enhance the cooperative collaborative visualization environment. In this work, an assessment of the effectiveness of a detail-in-context lens is presented. That is by using a set of aesthetics metrics designed to evaluate the visualizations generated by the fish-eye method to optimize the lens parameters. We have developed a framework to test these metrics on hydrocarbon reservoir simulation grids of different model sizes.

AB - It is challenging to efficiently and effectively manage and mine hugesized scientific and engineering data. The challenge takes another dimension when it comes to visualization and data analytics. Without the use of detail-incontext lenses; it has been found that many important details are missed or misinterpreted. Effectiveness of visual comprehension is one of the main goals of collaborative visualization. Various detail-in-context lenses were developed to increase the visual comprehension of 2D and 3D data types by exaggerating the focused area while maintaining context such as fish-eye lenses. These lenses will enhance the cooperative collaborative visualization environment. In this work, an assessment of the effectiveness of a detail-in-context lens is presented. That is by using a set of aesthetics metrics designed to evaluate the visualizations generated by the fish-eye method to optimize the lens parameters. We have developed a framework to test these metrics on hydrocarbon reservoir simulation grids of different model sizes.

KW - Aesthetic

KW - Evaluating cooperative visualization environment

KW - Measurement

KW - Metrics

KW - Visualization

UR - http://www.scopus.com/inward/record.url?scp=84994165203&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-46771-9_43

DO - 10.1007/978-3-319-46771-9_43

M3 - Conference contribution

AN - SCOPUS:84994165203

SN - 9783319467702

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 332

EP - 339

BT - Cooperative Design, Visualization, and Engineering - 13th International Conference, CDVE 2016, Proceedings

A2 - Luo, Yuhua

PB - Springer Verlag

ER -

Al-Harbi B, Alturki A, Ahmed A. An application of measuring aesthetics in visualization. In Luo Y, editor, Cooperative Design, Visualization, and Engineering - 13th International Conference, CDVE 2016, Proceedings. Springer Verlag. 2016. p. 332-339. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-46771-9_43

An application of measuring aesthetics in visualization

Abstract

Publication series

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

Fingerprint

Cite this