東華大學圖書館 |

Contextual and Qualitative Approaches for Visualization Design.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Contextual and Qualitative Approaches for Visualization Design./
作者:	Talkad Sukumar, Poorna.
面頁冊數:	1 online resource (211 pages)
附註:	Source: Dissertations Abstracts International, Volume: 83-05, Section: B.
Contained By:	Dissertations Abstracts International83-05B.
標題:	Computer science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28769291click for full text (PQDT)
ISBN:	9798460473083

Contextual and Qualitative Approaches for Visualization Design.
Talkad Sukumar, Poorna.

Contextual and Qualitative Approaches for Visualization Design. - 1 online resource (211 pages)

Source: Dissertations Abstracts International, Volume: 83-05, Section: B.

Thesis (Ph.D.)--University of Notre Dame, 2021.

Includes bibliographical references

One of the primary goals of information visualization research, a sister field of human-computer interaction (HCI), is to generate design guidelines to promote good design. Existing guidelines that are commonly referred to in visualization design, such as, Shneiderman's Overview First, Zoom and Filter, Details on Demand, are predominantly informed by the state of knowledge and empirical research in visualization. However, these guidelines are deliberately very general to make them broadly applicable and their applicability to specific domain problems is not straightforward. While these guidelines can be a good starting point for designing visualization tools for specific domain problems, they can be insufficient and we need to study the needs of users in these domains more carefully to design tools for their use. There are a variety of empirical research methodologies in visualization that enable us to gather user requirements and evaluate tools. These methodologies each seek to maximize one or at most two of three desirable criteria, namely, generalizability, precision, and realism. Broadly speaking, quantitative empirical studies favor precision and generalizability while qualitative approaches lend themselves to more realistic studies capturing the actual contexts of use. This dissertation focuses on the use of various contextual and qualitative methods for informing visualization design guidelines in four specific application domains.First, we characterized the holistic review process in undergraduate college admissions in the United States through contextual interviews and observations. We identified possible leverage points for applying visualization decision-support tools within the holistic review process including the use of approaches to mitigate potential cognitive biases of the reviewers identified in the study. Second, we conducted evaluation studies in the domain of personal visualizations, that is, visualizations of personal data of participants, using (i) a think-aloud method to identify the personal insights gained by participants and usability issues with the interface and (ii) a contextual interaction log analysis study to characterize exploratory behaviors of participants. Third, we conducted a case study of a visualization system designed for monitoring participant compliance in a large-scale, longitudinal study in order to evaluate the system in context with real users, data, and tasks and to make improvements. Finally, we conducted interviews with teams of information workers working from home during the COVID-19 pandemic to present design implications for visualizations of work rhythms of team members to increase awareness and coordination in remotely-working teams.In addition to contributing visualization design guidelines to each of the four domain-specific problems, we reflect on the application of these methods for visualization design and how they differ from their traditional counterparts used in disciplines such as HCI and the social sciences, leading to the following thesis statement:If contextual and qualitative empirical methods from HCI and the social sciences are employed for visualization design purposes, then they will not only enable a realistic and/or richer understanding of the domain situations, but their application will also have to be tailored to elicit requirements and findings relevant to visualization design.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798460473083Subjects--Topical Terms:

523869
Computer science.
Subjects--Index Terms:

Information visualizationIndex Terms--Genre/Form:

542853
Electronic books.

Contextual and Qualitative Approaches for Visualization Design.
LDR:04913nmm a2200433K 4500 001 2356359
005 20230612110802.5
006 m o d
007 cr mn ---uuuuu
008 241011s2021 xx obm 000 0 eng d
020 $a 9798460473083
035 $a (MiAaPQ)AAI28769291
035 $a AAI28769291
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Talkad Sukumar, Poorna. $3 3696841
245 1 0 $a Contextual and Qualitative Approaches for Visualization Design.
264 0 $c 2021
300 $a 1 online resource (211 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertations Abstracts International, Volume: 83-05, Section: B.
500 $a Advisor: Striegel, Aaron D. ; Metoyer, Ronald.
502 $a Thesis (Ph.D.)--University of Notre Dame, 2021.
504 $a Includes bibliographical references
520 $a One of the primary goals of information visualization research, a sister field of human-computer interaction (HCI), is to generate design guidelines to promote good design. Existing guidelines that are commonly referred to in visualization design, such as, Shneiderman's Overview First, Zoom and Filter, Details on Demand, are predominantly informed by the state of knowledge and empirical research in visualization. However, these guidelines are deliberately very general to make them broadly applicable and their applicability to specific domain problems is not straightforward. While these guidelines can be a good starting point for designing visualization tools for specific domain problems, they can be insufficient and we need to study the needs of users in these domains more carefully to design tools for their use. There are a variety of empirical research methodologies in visualization that enable us to gather user requirements and evaluate tools. These methodologies each seek to maximize one or at most two of three desirable criteria, namely, generalizability, precision, and realism. Broadly speaking, quantitative empirical studies favor precision and generalizability while qualitative approaches lend themselves to more realistic studies capturing the actual contexts of use. This dissertation focuses on the use of various contextual and qualitative methods for informing visualization design guidelines in four specific application domains.First, we characterized the holistic review process in undergraduate college admissions in the United States through contextual interviews and observations. We identified possible leverage points for applying visualization decision-support tools within the holistic review process including the use of approaches to mitigate potential cognitive biases of the reviewers identified in the study. Second, we conducted evaluation studies in the domain of personal visualizations, that is, visualizations of personal data of participants, using (i) a think-aloud method to identify the personal insights gained by participants and usability issues with the interface and (ii) a contextual interaction log analysis study to characterize exploratory behaviors of participants. Third, we conducted a case study of a visualization system designed for monitoring participant compliance in a large-scale, longitudinal study in order to evaluate the system in context with real users, data, and tasks and to make improvements. Finally, we conducted interviews with teams of information workers working from home during the COVID-19 pandemic to present design implications for visualizations of work rhythms of team members to increase awareness and coordination in remotely-working teams.In addition to contributing visualization design guidelines to each of the four domain-specific problems, we reflect on the application of these methods for visualization design and how they differ from their traditional counterparts used in disciplines such as HCI and the social sciences, leading to the following thesis statement:If contextual and qualitative empirical methods from HCI and the social sciences are employed for visualization design purposes, then they will not only enable a realistic and/or richer understanding of the domain situations, but their application will also have to be tailored to elicit requirements and findings relevant to visualization design.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
650 4 $a Computer science. $3 523869
650 4 $a Design. $3 518875
650 4 $a Systems science. $3 3168411
650 4 $a Information science. $3 554358
653 $a Information visualization
653 $a Design guidelines
653 $a College admissions
653 $a Think aloud
653 $a Contextual interaction log
653 $a Compliance monitoring
653 $a Team coordination
655 7 $a Electronic books. $2 lcsh $3 542853
690 $a 0984
690 $a 0389
690 $a 0723
690 $a 0790
710 2 $a ProQuest Information and Learning Co. $3 783688
710 2 $a University of Notre Dame. $b Computer Science and Engineering. $3 3553652
773 0 $t Dissertations Abstracts International $g 83-05B.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28769291 $z click for full text (PQDT)