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Dissertation_Dinko_Bacic_Final.pdf (1.96 MB)

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The Role of Cognitive Effort in Decision Performance Using Data Representations: A Cognitive Fit Perspective

Bacic, Dinko
http://rave.ohiolink.edu/etdc/view?acc_num=csu1400679810

Abstract Details

2014, Doctor of Business Administration, Cleveland State University, Monte Ahuja College of Business.
A major goal of Decision Support (DSS) and Business Intelligence (BI) systems is to aid decision makers in their decision performance by reducing effort. One critical part of those systems is their data representation component of visually intensive applications such as dashboards and data visualization. The existing research led to a number of theoretical approaches that explain decision performance through data representation’s impact on users’ cognitive effort, with Cognitive Fit Theory (CFT) being the most influential theoretical lens. However, available CFT-based literature findings are inconclusive and there is a lack of research that actually attempts to measure cognitive effort, the mechanism underlying CFT and CFT-based literature. This research is the first one to directly measure cognitive effort in Cognitive Fit and Business Information Visualization context and the first one to evaluate both self-reported and physiological measures of cognitive effort. The research provides partial support for CFT by confirming that task characteristics and data representation do influence cognitive effort. This influence is pronounced for physiological measures of cognitive effort while it minimal for self-reported measure of cognitive effort. While cognitive effort was found to have an impact on decision time, this research suggests caution is assuming that task-representation fit is influencing decision accuracy. Furthermore, this level of impact varies between self-reported and physiological cognitive effort and is influenced by task complexity. Research provides extensive cognitive fit theory, business information visualization and cognitive effort literature review along with implications of the findings for both research and practice.
Raymond Henry, PhD (Committee Chair)
Radha Appan, PhD (Committee Member)
Amit Ghosh, PhD (Committee Member)
Robert Whitbred, PhD (Committee Member)
173 p.
Information Systems; Information Technology
Cognitive effort; Data representation; Cognitive fit; Decision performance; Eye tracking; Business information visualization; Need for Cognition;

Recommended Citations

Citations

  • Bacic, D. (2014). The Role of Cognitive Effort in Decision Performance Using Data Representations: A Cognitive Fit Perspective [Doctoral dissertation, Cleveland State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=csu1400679810

    APA Style (7th edition)

  • Bacic, Dinko. The Role of Cognitive Effort in Decision Performance Using Data Representations: A Cognitive Fit Perspective. 2014. Cleveland State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=csu1400679810.

    MLA Style (8th edition)

  • Bacic, Dinko. "The Role of Cognitive Effort in Decision Performance Using Data Representations: A Cognitive Fit Perspective." Doctoral dissertation, Cleveland State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=csu1400679810

    Chicago Manual of Style (17th edition)

csu1400679810
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© 2014, all rights reserved.
This open access ETD is published by Cleveland State University and OhioLINK.