Griffiths, Tom (2022) Evaluating a conceptual network model using state changes in a computerized change blindness task. Bachelor thesis, Psychology.
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Abstract
A continuation of the 2021 research thesis is conducted, investigating the premises of the conceptual network model (De Vries, 2004) on binding and the critical threshold of cell assemblies, using a computerized change blindness task. The previous study found support for the hypothesis that shared identity and distance interact to increase accuracy, only for exemplar changes, and not state changes. In this experiment, objects which undergo state changes were used. The object stimuli were taken from the same collection as the previous research, however not using any objects which undergo a change in color or shape. The stimuli were then sorted into two sets of 6 categories each, with four objects per category, and two pictures of the same object, in two different states. Due to participants of the previous experiment finding the task difficult, it was simplified by always having a change occur, and introducing a confidence rating to evaluate if this is impactful, as well as investigating how accuracy and confidence are related. The hypothesis predicts that shared identity and distance will interact to produce the highest accuracy, and that accuracy and confidence will have a positive relationship. A 2x2 RM ANOVA and two 2x1 RM AVOVAs were conducted using independent variables shared identity and distance, for each of the two dependent variables: Change detection accuracy, and participant's confidence scores. The results show support for both of these hypotheses. This provides support for the proposed conceptual network model (De Vries, 2004). Keywords: Change blindness, Binding, Critical Threshold, Cell-assembly.
| Item Type: | Thesis (Bachelor) |
|---|---|
| Supervisor name: | Vries, P.H. de |
| Degree programme: | Psychology |
| Differentiation route: | None [Bachelor Psychology] |
| Date Deposited: | 24 May 2022 08:11 |
| Last Modified: | 24 May 2022 08:11 |
| URI: | http://gmwpublic.studenttheses.ub.rug.nl/id/eprint/470 |
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