Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Exploring hand movement dynamics during the Simon task: a mouse tracking study.
Download
index.pdf
Date
2019
Author
İkizoğlu, Hatice Buke
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
237
views
108
downloads
Cite This
Understanding how the cognitive system processes information in real-time is one of the key concerns for researchers in experimental psychology and cognitive science. Several measures and software tools have been proposed to explore different aspects of cognitive processing phenomena. One of these methods, mouse-tracking, allows researchers to collect data about the dynamic unfolding of motor responses by recording the participants’ mouse movements during cognitive tasks. In the present study, we replicated the Simon effect, which is known as the “stimulus-response compatibility effect” in a Mouse tracking paradigm. We investigated the impact of design factors on Mouse-tracking data by placing the response alternatives at the bottom corners rather than at the top. We also performed an additional experiment, including the reverse Simon Effect. Consistent with previous studies, the mouse tracker experiments conducted in this thesis showed a significant stimulus-response compatibility effect while the response directions towards the left and right corners are not entirely symmetric in the conflict cases. On the other hand, switching the response mapping to top-to-bottom has increased the asymmetry between left and right cases during conflict trials. Lastly, the reversal effect was observed vividly in the case of y-flips, which seemed to be the best indicator for the process of adjusting to the new color-response pairing.
Subject Keywords
Cognitive learning theory.
,
Simon task
,
Simon effect
,
mouse tracking
,
cognitive processes stimulus-response compatibility effect.
URI
http://etd.lib.metu.edu.tr/upload/12625015/index.pdf
https://hdl.handle.net/11511/45362
Collections
Graduate School of Informatics, Thesis
Suggestions
OpenMETU
Core
A philosophical analysis of computational modeling in cognitive science
Ürgen, Burcu Ayşen; Bağçe, Samet; Department of Cognitive Sciences (2007)
This study analyses the methodology of computational cognitive modeling as one of the ways of conducting research in cognitive science. The aim of the study is to provide an understanding of the place of computational cognitive models in understanding human cognition. Considering the vast number of computational cognitive models which have been just given to account for some cognitive phenomenon by solely simulating some experimental study and fitting to empirical data, a practice-oriented approach is adopt...
Evaluating working memory capacity and cognitive load in learning from goal based scenario centered 3D multimedia
Kilic, Eylem; Yıldırım, Zahide (2010-02-08)
The purpose of this study is to investigate working memory capacity and cognitive load in learning from Goal Based Scenario centered 3D multimedia learning environment (GBSc3DM) designed based on Cognitive Load Theory (CLT). GBSc3DM was developed in two versions. In the designed of the first version (+CLT) cognitive load principles were applied. In the second version (-CLT), however, the principles were violated. 47 11(th) grade high school students were selected based on their working memory capacity (WMC)...
Hybrid statistical and machine learning modeling of cognitive neuroscience data
Çakar, Serenay; Gökalp Yavuz, Fulya (2023-01-01)
The nested data structure is prevalent for cognitive measure experiments due to repeatedly taken observations from different brain locations within subjects. The analysis methods used for this data type should consider the dependency structure among the repeated measurements. However, the dependency assumption is mainly ignored in the cognitive neuroscience data analysis literature. We consider both statistical, and machine learning methods extended to repeated data analysis and compare distinct algorithms ...
Learning transferability of cognitive tasks by graph generation for brain decoding
Coşkun, Bilgin; Yarman Vural, Fatoş Tunay; Department of Computer Engineering (2021-12-10)
Brain decoding involves analyzing the cognitive states of human brain by using some statistical techniques in order to understand the relations among the cognitive states, based on neuroimaging data. A very powerful tool to acquire the brain data is functional magnetic resonance images (fMRI), which generates three-dimensional brain volume at each time instant, while a subject performs a cognitive task involving social activities, emotion processing, game playing, memory etc. However, it is very difficult a...
Analyzing Complex Problem Solving by Dynamic Brain Networks
Alchihabi, Abdullah; Ekmekci, Ömer; Kivilcim, Baran B.; Newman, Sharlene D.; Yarman Vural, Fatos T. (2021-12-01)
Complex problem solving is a high level cognitive task of the human brain, which has been studied over the last decade. Tower of London (TOL) is a game that has been widely used to study complex problem solving. In this paper, we aim to explore the underlying cognitive network structure among anatomical regions of complex problem solving and its subtasks, namely planning and execution. A new computational model for estimating a brain network at each time instant of fMRI recordings is proposed. The suggested...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
H. B. İkizoğlu, “Exploring hand movement dynamics during the Simon task: a mouse tracking study.,” Thesis (M.S.) -- Graduate School of Informatics. Cognitive Sciences., Middle East Technical University, 2019.