Beast to beauty transition: Design process for complex visual analytics

Suraya Ya'acob, Nazlena Mohamad Ali, Hai Ning Liang, Nilam Nur Amir Sjarif, Nurul Huda Firdaus Mohd Azmi, Doris Wong Hooi Ten

Research output: Contribution to journalArticle

Abstract

Visual analytics fundamentally influences the analytical process. Without proper guidance, the complex condition can become a beast that hides the beauty of analytical data. Since visual analytics is the only way to represent analytical outcomes, ineffective visual analytics will bury the relevancy of information to support any valuable decision. Thus, this research revisits the way to design more valuable and effective visual analytics, especially for the complex condition which involves i) the information complexities, ii) the nature of the activities involved and iii) the complex context of usage. Governed by the Design Science Research Methodology (DSRM), the research applied the pragmatic philosophical worldview and exploratory research. Furthermore, the design process embedded the human-activity centered design approaches as the new perspective to get a better understanding of the visual analytics users and the analytical activities involved. There are basically three important activities of the design process that comprises of five design phases. Activity 1 aims to identify the visual analytics context and its challenges, Activity 2 to develop the solution of visual analytics design and Activity 3 to evaluate the effectiveness of visual analytics to handle its complex context. By offering a set of design process, this research aims to improve the experience of the visual analytics community to design in a more flexible, dynamic and intuitive way. Finally, this paper also recommends appropriate methods, the unit of analysis, sampling strategy and data management & analysis suitable for complex visual analytics.

Original languageEnglish
Pages (from-to)2-18
Number of pages17
JournalInternational Journal of Advances in Soft Computing and its Applications
Volume10
Issue number3
Publication statusPublished - 1 Jan 2018

Fingerprint

Information management
Sampling

Keywords

  • Analytical processes
  • Complex cognitive activities and context dependent
  • Complex condition
  • Design process
  • Visual analytics

ASJC Scopus subject areas

  • Computer Science Applications

Cite this

Beast to beauty transition : Design process for complex visual analytics. / Ya'acob, Suraya; Mohamad Ali, Nazlena; Liang, Hai Ning; Sjarif, Nilam Nur Amir; Azmi, Nurul Huda Firdaus Mohd; Ten, Doris Wong Hooi.

In: International Journal of Advances in Soft Computing and its Applications, Vol. 10, No. 3, 01.01.2018, p. 2-18.

Research output: Contribution to journalArticle

Ya'acob, Suraya ; Mohamad Ali, Nazlena ; Liang, Hai Ning ; Sjarif, Nilam Nur Amir ; Azmi, Nurul Huda Firdaus Mohd ; Ten, Doris Wong Hooi. / Beast to beauty transition : Design process for complex visual analytics. In: International Journal of Advances in Soft Computing and its Applications. 2018 ; Vol. 10, No. 3. pp. 2-18.
@article{ab5f6c1eb87d42e0bf5c792991a74f3c,
title = "Beast to beauty transition: Design process for complex visual analytics",
abstract = "Visual analytics fundamentally influences the analytical process. Without proper guidance, the complex condition can become a beast that hides the beauty of analytical data. Since visual analytics is the only way to represent analytical outcomes, ineffective visual analytics will bury the relevancy of information to support any valuable decision. Thus, this research revisits the way to design more valuable and effective visual analytics, especially for the complex condition which involves i) the information complexities, ii) the nature of the activities involved and iii) the complex context of usage. Governed by the Design Science Research Methodology (DSRM), the research applied the pragmatic philosophical worldview and exploratory research. Furthermore, the design process embedded the human-activity centered design approaches as the new perspective to get a better understanding of the visual analytics users and the analytical activities involved. There are basically three important activities of the design process that comprises of five design phases. Activity 1 aims to identify the visual analytics context and its challenges, Activity 2 to develop the solution of visual analytics design and Activity 3 to evaluate the effectiveness of visual analytics to handle its complex context. By offering a set of design process, this research aims to improve the experience of the visual analytics community to design in a more flexible, dynamic and intuitive way. Finally, this paper also recommends appropriate methods, the unit of analysis, sampling strategy and data management & analysis suitable for complex visual analytics.",
keywords = "Analytical processes, Complex cognitive activities and context dependent, Complex condition, Design process, Visual analytics",
author = "Suraya Ya'acob and {Mohamad Ali}, Nazlena and Liang, {Hai Ning} and Sjarif, {Nilam Nur Amir} and Azmi, {Nurul Huda Firdaus Mohd} and Ten, {Doris Wong Hooi}",
year = "2018",
month = "1",
day = "1",
language = "English",
volume = "10",
pages = "2--18",
journal = "International Journal of Advances in Soft Computing and its Applications",
issn = "2074-8523",
publisher = "International Center for Scientific Research and Studies (ICSRS)",
number = "3",

}

TY - JOUR

T1 - Beast to beauty transition

T2 - Design process for complex visual analytics

AU - Ya'acob, Suraya

AU - Mohamad Ali, Nazlena

AU - Liang, Hai Ning

AU - Sjarif, Nilam Nur Amir

AU - Azmi, Nurul Huda Firdaus Mohd

AU - Ten, Doris Wong Hooi

PY - 2018/1/1

Y1 - 2018/1/1

N2 - Visual analytics fundamentally influences the analytical process. Without proper guidance, the complex condition can become a beast that hides the beauty of analytical data. Since visual analytics is the only way to represent analytical outcomes, ineffective visual analytics will bury the relevancy of information to support any valuable decision. Thus, this research revisits the way to design more valuable and effective visual analytics, especially for the complex condition which involves i) the information complexities, ii) the nature of the activities involved and iii) the complex context of usage. Governed by the Design Science Research Methodology (DSRM), the research applied the pragmatic philosophical worldview and exploratory research. Furthermore, the design process embedded the human-activity centered design approaches as the new perspective to get a better understanding of the visual analytics users and the analytical activities involved. There are basically three important activities of the design process that comprises of five design phases. Activity 1 aims to identify the visual analytics context and its challenges, Activity 2 to develop the solution of visual analytics design and Activity 3 to evaluate the effectiveness of visual analytics to handle its complex context. By offering a set of design process, this research aims to improve the experience of the visual analytics community to design in a more flexible, dynamic and intuitive way. Finally, this paper also recommends appropriate methods, the unit of analysis, sampling strategy and data management & analysis suitable for complex visual analytics.

AB - Visual analytics fundamentally influences the analytical process. Without proper guidance, the complex condition can become a beast that hides the beauty of analytical data. Since visual analytics is the only way to represent analytical outcomes, ineffective visual analytics will bury the relevancy of information to support any valuable decision. Thus, this research revisits the way to design more valuable and effective visual analytics, especially for the complex condition which involves i) the information complexities, ii) the nature of the activities involved and iii) the complex context of usage. Governed by the Design Science Research Methodology (DSRM), the research applied the pragmatic philosophical worldview and exploratory research. Furthermore, the design process embedded the human-activity centered design approaches as the new perspective to get a better understanding of the visual analytics users and the analytical activities involved. There are basically three important activities of the design process that comprises of five design phases. Activity 1 aims to identify the visual analytics context and its challenges, Activity 2 to develop the solution of visual analytics design and Activity 3 to evaluate the effectiveness of visual analytics to handle its complex context. By offering a set of design process, this research aims to improve the experience of the visual analytics community to design in a more flexible, dynamic and intuitive way. Finally, this paper also recommends appropriate methods, the unit of analysis, sampling strategy and data management & analysis suitable for complex visual analytics.

KW - Analytical processes

KW - Complex cognitive activities and context dependent

KW - Complex condition

KW - Design process

KW - Visual analytics

UR - http://www.scopus.com/inward/record.url?scp=85058479575&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85058479575&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:85058479575

VL - 10

SP - 2

EP - 18

JO - International Journal of Advances in Soft Computing and its Applications

JF - International Journal of Advances in Soft Computing and its Applications

SN - 2074-8523

IS - 3

ER -