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Comparative Evaluation of Two Interface Tools in Performing Visual Analytics Tasks Dong Hyun Jeong * , Tera Marie Green , William Ribarsky * , Remco Chang * * Charlotte Visualization Center, UNC Charlotte School of Interactive Arts and Technology, Simon Fraser University

Comparative Evaluation of Two Interface Tools in Performing Visual Analytics Tasks

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Presenter: Dong Hyun Jeong, William Ribarsky, Tera Green, Remco ChangBELIV 2010 Workshophttp://www.beliv.org/beliv2010/

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Page 1: Comparative Evaluation of Two Interface Tools in Performing Visual Analytics Tasks

Comparative Evaluation of Two Interface Tools in Performing

Visual Analytics Tasks

Dong Hyun Jeong*, Tera Marie Green†, William Ribarsky*, Remco Chang*

*Charlotte Visualization Center, UNC Charlotte†School of Interactive Arts and Technology, Simon Fraser University

Page 2: Comparative Evaluation of Two Interface Tools in Performing Visual Analytics Tasks

Motivation

• Human interaction & flow of cognition• Important for problem solving

• “Visualization design should avoid, as much as possible, menus or other actions that take the user outside of the frame of the task” by Green et al. 2008

• Previous Literatures• In visualization community, pull-down menus may

require the human to sort through and think about menu items [Green et al.].

• In HCI community, Not a clear difference between direct comparison between menu vs. direct manipulation icons [Lim et al.]

Page 3: Comparative Evaluation of Two Interface Tools in Performing Visual Analytics Tasks

Objective

• To show the effectiveness of two interface tools, Floating-Menu and Interactive-Icon, on a highly interactive visual analytics tool.

• A comparative evaluation• Quantitative and Qualitative evaluation to find the

differences between the two.

Page 4: Comparative Evaluation of Two Interface Tools in Performing Visual Analytics Tasks

A Visual Analytics Tool

• A visual analytics tool• A genomic visualization (called GVis).• Uses publicly available biological database (GenBank)

by NCIBI (the National Center for Biotechnology Information).

System overview Floating-Menu Interactive-Icon

Page 5: Comparative Evaluation of Two Interface Tools in Performing Visual Analytics Tasks

Information Representation

• Representing information corresponding to each option selection

# of published articles Year information about the publication

Titles of the publishing journals

# of matched results based on the search query

Page 6: Comparative Evaluation of Two Interface Tools in Performing Visual Analytics Tasks

Comparative Study

• Within-subject study• College students• 31 participants (twelve males and nineteen females)• Most participants are not familiar with visualization as

well biology.• Tasks• Finding additional information (publications) related to

specific organisms using the two interface tools.

Page 7: Comparative Evaluation of Two Interface Tools in Performing Visual Analytics Tasks

Evaluation Results (Accuracy)

• Accuracy• About 54.8% (17.0±7.9) [Floating-Menu] and 46.1%

(14.3±5.0) [Interactive-Icon] of the participants answered correctly.

• Repeated Measures ANOVA• Accuracy difference is not statistically significant

across the two interfaces (p=0.24)

Page 8: Comparative Evaluation of Two Interface Tools in Performing Visual Analytics Tasks

Evaluation Results (Speed)

• Speed• No statistically significant

• Pearson's Correlation Coefficient measure• A trend between the

time spent and the difficulty of the task (r =.47, p<.0001).

Page 9: Comparative Evaluation of Two Interface Tools in Performing Visual Analytics Tasks

Evaluation Results (post-task questionnaire)

• Easiness• About 60% (18.6±0.5) [Floating-Menu] and about 43%

(13.3±4.0) [Interactive-Icon] of the participants reported all 3 tasks to be “easy” or “very easy”

• Helpfulness• About 74% (23±3.6) [Floating-Menu] and about 65%

(20±3.6) [Interactive-Icon] of the participants reported the tool to be “helpful” or “very helpful” in solving tasks.

Page 10: Comparative Evaluation of Two Interface Tools in Performing Visual Analytics Tasks

Evaluation Results (post-app. & study questionnaire)

• Learnability• About 67% and 51% of the

participants rated that Floating-Menu and Interactive-Icon were easy to use (“very easy” or “easy”).

• Preference• No significant difference, but

there was a gender difference.

like comfortable

Page 11: Comparative Evaluation of Two Interface Tools in Performing Visual Analytics Tasks

Discussion

• Two interface tools, Floating-Menu and Interactive-Icon, perform similarly both quantitatively and qualitatively.

• Limitations of the comparative evaluation method.• Quantitative (Time & Accuracy) and Qualitative (Users’

feedback) are not good for evaluating on a highly interactive visual analytics tool.

• Importance of preserving humans’ flow of cognition • Interactive-Icon might support well the human’s flow of

cognition than Floating-Menu.• With the comparative evaluation, the difference

between the two interface tools cannot be generalized.

Page 12: Comparative Evaluation of Two Interface Tools in Performing Visual Analytics Tasks

Q&ACharlotte Visualization Center

UNC Charlotte

[email protected]