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Full text release has been delayed at the author's request until January 07, 2025

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Systems Factorial Technology extended to bilateral visual fields and model predictions testing

Fan, Gaojie, Fan
http://orcid.org/0000-0002-4352-5806
http://rave.ohiolink.edu/etdc/view?acc_num=miami1578344429925516

Abstract Details

2020, Doctor of Philosophy, Miami University, Psychology.
Systems Factorial Technology (SFT) is a method that helps researchers to investigate how individuals combine and use information from multiple sources. It distinguishes processing strategies in terms of the order information is processed (in parallel or in serial), and how an individual decides when to stop processing (exhaustive or self-terminating), by using contrasts of mean reaction times (mean interaction contrast, MIC) and survivor functions (survivor interaction contrast, SIC) from different experimental conditions. The current project utilizes a recent extension of the SFT theory to nested architectures to the empirical application of hemispheric differences and integration in visual perception. Specifically, this study examines what mental architectures and stopping rules different individuals use when processing visual information from left and right visual fields and from both (a bilateral field condition). We had participants completed two types of tasks, an OR task in which only one of two sources is required for a decision to occur, and an AND task in which both sources must processed to determine the correct answer. We then calculated SICs and MICs from empirical data and compared them to model predictions of various strategies. We found that for the OR task, people tended to use a self-terminating stopping rule, whereas for the AND task an exhaustive stopping rule was preferred, which agreed with our expectations. Other than this, various mental architectures were used across individuals. We also suspect that further research into what conditions ensure that the assumptions underlying SFT method are all satisfied and which conditions lead to violations in these assumptions would prove useful.
Robin Thomas (Advisor)
Joseph Johnson (Committee Member)
Joseph Houpt (Committee Member)
Jing Zhang (Committee Member)
88 p.
Cognitive Psychology
Systems Factorial Technology; visual processing; modeling

Recommended Citations

Citations

  • Fan, Fan, G. (2020). Systems Factorial Technology extended to bilateral visual fields and model predictions testing [Doctoral dissertation, Miami University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=miami1578344429925516

    APA Style (7th edition)

  • Fan, Fan, Gaojie. Systems Factorial Technology extended to bilateral visual fields and model predictions testing. 2020. Miami University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=miami1578344429925516.

    MLA Style (8th edition)

  • Fan, Fan, Gaojie. "Systems Factorial Technology extended to bilateral visual fields and model predictions testing." Doctoral dissertation, Miami University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=miami1578344429925516

    Chicago Manual of Style (17th edition)

miami1578344429925516
© 2019, all rights reserved.
This open access ETD is published by Miami University and OhioLINK.