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Top-down and bottom-up influences on action and inhibition
Wang, Wei
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https://hdl.handle.net/2142/16872
Description
- Title
- Top-down and bottom-up influences on action and inhibition
- Author(s)
- Wang, Wei
- Issue Date
- 2010-08-20T18:00:28Z
- Director of Research (if dissertation) or Advisor (if thesis)
- Albarracin, Dolores
- Department of Study
- Psychology
- Discipline
- Psychology
- Degree Granting Institution
- University of Illinois at Urbana-Champaign
- Degree Name
- M.A.
- Degree Level
- Thesis
- Date of Ingest
- 2010-08-20T18:00:28Z
- Keyword(s)
- Action
- inhibition
- Go/No-Go
- behavioral facilitation
- action and inaction goals
- Abstract
- A series of studies with complex Go/No-Go tasks systematically examined the influence of tasks that require different combinations of Go and No-Go responses. Specifically, this thesis investigated how commission and omission errors are influenced by the actual distribution of the responses required during the trials (bottom-up factor) and a response mapping rule provided in the beginning (top-down factor). Results indicated that the Go-trial proportion and the Go-mapping rule moderate action (Go responses) and action inhibition (No-Go response) in different ways. Experiment 1 found that a high-Go-trial proportion that coincided with a high-Go-mapping rule produced significantly higher commission-error rates, lower omission-error rates, and shorter hit RTs than a low Go-trial proportion that coincided with a low Go-mapping rule. Experiments 2 and 3 differentiated the effect of the Go-trial proportion from the effect of the Go-mapping rule. These two experiments revealed that a higher Go-trial proportion increased commission-error rates but decreased omission-error rates, whereas a higher Go-mapping rule increased both commission-error rates and omission-error rates. Implications for designing effective behavioral programs are discussed.
- Graduation Semester
- 2010-08
- Permalink
- http://hdl.handle.net/2142/16872
- Copyright and License Information
- Copyright 2010 Wei Wang
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