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Understanding Visual Representation of Imputed Data for Aiding Human Decision-Making

Thompson, Ryan M.
http://rave.ohiolink.edu/etdc/view?acc_num=wright1610108135581006

Abstract Details

2020, Master of Science in Industrial and Human Factors Engineering (MSIHE) , Wright State University, Industrial and Human Factors Engineering.
The effectiveness of representing higher dimensional data on a two-dimensional visualization was required to be studied in the development of a novel data imputation method, Continuous Imputation With Association Rules (CIWAR). When the CIWAR method is used to impute missing data, the method generates additional metadata that increases each imputed data point's dimensionality. Potential use cases for CIWAR include situations where imputed data would be analyzed by individuals with little or no data analytic experience or situations where imputed data would be used to aid high-stress time-critical human decision processes. A study was conducted to assess the effect of the addition of entropy data on trust associated with the imputed data points and the ability to identify trends in imputed data from the CIWAR data visualization. The study examined the responses of two treatment groups (experts and novice), an expert group that had more statistical analysis experience and a novice group with little to no statistical analysis experience. The CIWAR method was capable of imputing data with a 0.043 Normalized Root Mean Squared Error (NRMSE) and was compared to the K-Nearest-Neighbor imputation method that produced a NRMSE of .338. The study showed a correlation between the participant's level of trust and expected level of trust when entropy data is associated with the imputed data.
Subhashini Ganapathy, Ph.D. (Advisor)
Michael Raymer, Ph.D. (Committee Member)
Sherif Elbasiouny, Ph.D. (Committee Member)
381 p.
Engineering; Experiments
data imputation method; imputed data; human decision process; human decision making

Recommended Citations

Citations

  • Thompson, R. M. (2020). Understanding Visual Representation of Imputed Data for Aiding Human Decision-Making [Master's thesis, Wright State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=wright1610108135581006

    APA Style (7th edition)

  • Thompson, Ryan. Understanding Visual Representation of Imputed Data for Aiding Human Decision-Making. 2020. Wright State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=wright1610108135581006.

    MLA Style (8th edition)

  • Thompson, Ryan. "Understanding Visual Representation of Imputed Data for Aiding Human Decision-Making." Master's thesis, Wright State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=wright1610108135581006

    Chicago Manual of Style (17th edition)

wright1610108135581006
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© 2020, all rights reserved.
This open access ETD is published by Wright State University and OhioLINK.