|
|
Current methods of measuring cognitive abilities
Bílková, Kateřina ; Flegr, Jaroslav (advisor) ; Binter, Jakub (referee)
The aim of this thesis is to present a selection of cognitive ability measurement methods for adults, especially those that can be administered online. These methods are presented in the context of cognitive ability composition concepts on which they are based. The chosen methods include several IQ tests and various online cognitive performance measurement methods. IQ tests represent measures of general intelligence. The IQ tests mentioned in this study are administered individually or in group settings. The online methods have a narrower focus and are mentioned in conjunction with the platforms that offer these methods. The selection of online methods was based on their prevalence in the literature, with an emphasis on the more common ones, in order to collectively cover a broader range of cognitive abilities. The reliability and validity of the methods are discussed.
|
|
|
Perceptual learning and Ideal Bayesian obsever in visual search task
Němeček, Viktor ; Děchtěrenko, Filip (advisor) ; Pilát, Martin (referee)
Searching for objects in a complex environment is an activity we do many times each day. Najemnik and Geisler (2005; 2008; 2009) showed in their work that people do not perform optimally, and devised multiple ideal observer models for one particular visual search task. In this thesis we tried to show that if people get feedback from one of the ideal observer models, they learn to solve the task better during a given amount of trials than they would without the feedback. We were unable to prove any nontrivial result with statistical significance due to a small sample size, but the data suggests that the feedback indeed has a positive effect on the learning, and that the continuation of the research is justified. An iOS application necessary for the experiment was created as a part of the thesis. Aside from the experiment itself, one can also use it to play a visual search testing game. 1
|
|
|
Image comparison using eye movement simulation
Veľk, Miroslav ; Bálek, Martin (advisor) ; Bílý, Tomáš (referee)
In the present work we study the biologically plausible and psychologically motivated model of human visual attention and explain the importance of similar models. We propose and implement methods to find salient locations in the image. We give detailed instructions on creating saliency maps, which contain information about saliency of every location in the explored scene. Using this maps we simulate shifts of visual attention (eye movement). A simulated scanpath representing this shifts is created and then analyzed. We especially focus on comparison of different scanpaths by different features. Finally practical use of our model is outlined.
|
guest ::
