Dissertation/Thesis
TSIGAS P.: Causality visualization using animated growing polygons
| Title: | TSIGAS P.: Causality visualization using animated growing polygons |
|---|---|
| Authors: | Niklas Elmqvist |
| Contributors: | The Pennsylvania State University CiteSeerX Archives |
| Source: | https://engineering.purdue.edu/~elm/projects/causalviz/growing-polys.pdf. |
| Collection: | CiteSeerX |
| Subject Terms: | CR Categories, D.1.3 [Programming Techniques, Concurrent Programming, D.2.5 [Software Engineering, Testing and Debugging, H.5.1 [Information Systems, Multimedia Information Systems—Animations, H.5.2 [Information Systems, User Interfaces, I.3 [Computer Methodologies, Computer Graphics Keywords, causal relations, information visualization, interactive |
| Description: | We present Growing Polygons, a novel visualization technique for the graphical representation of causal relations and information flow in a system of interacting processes. Using this method, individual processes are displayed as partitioned polygons with color-coded segments showing dependencies to other processes. The entire visualization is also animated to communicate the dynamic execution of the system to the user. The results from a comparative user study of the method show that the Growing Polygons technique is significantly more efficient than the traditional Hasse diagram visualization for analysis tasks related to deducing information flow in a system for both small and large executions. Furthermore, our findings indicate that the correctness when solving causality tasks is significantly improved using our method. In addition, the subjective ratings of the users rank the method as superior in all regards, including usability, efficiency, and enjoyability. |
| Document Type: | Thesis |
| File Description: | application/pdf |
| Language: | English |
| Relation: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.307.68 |
| Availability: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.307.68 |
| Rights: | Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
| Accession Number: | edsbas.D108CA1E |
| Database: | BASE |
| FullText | Text: Availability: 0 CustomLinks: – Url: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.307.68# Name: EDS - BASE (ns324271) Category: fullText Text: View record from BASE |
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| RecordInfo | BibRecord: BibEntity: Languages: – Text: English Subjects: – SubjectFull: CR Categories Type: general – SubjectFull: D.1.3 [Programming Techniques Type: general – SubjectFull: Concurrent Programming Type: general – SubjectFull: D.2.5 [Software Engineering Type: general – SubjectFull: Testing and Debugging Type: general – SubjectFull: H.5.1 [Information Systems Type: general – SubjectFull: Multimedia Information Systems—Animations Type: general – SubjectFull: H.5.2 [Information Systems Type: general – SubjectFull: User Interfaces Type: general – SubjectFull: I.3 [Computer Methodologies Type: general – SubjectFull: Computer Graphics Keywords Type: general – SubjectFull: causal relations Type: general – SubjectFull: information visualization Type: general – SubjectFull: interactive Type: general Titles: – TitleFull: TSIGAS P.: Causality visualization using animated growing polygons Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Niklas Elmqvist – PersonEntity: Name: NameFull: The Pennsylvania State University CiteSeerX Archives IsPartOfRelationships: – BibEntity: Identifiers: – Type: issn-locals Value: edsbas – Type: issn-locals Value: edsbas.oa Titles: – TitleFull: https://engineering.purdue.edu/~elm/projects/causalviz/growing-polys.pdf Type: main |
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