Testing Reaction Times of Local and Global Perception Essay

In order to test this hypothesis, an experimental study was designed to calculate the time it takes for participants to respond to a cue under control or experimental conditions.

Suppose another experiment had participants say the word “now” as soon as they detected the green circle, and that the response times were between 100 and 200 milliseconds. What would you conclude about the cognitive tasks involved in these two versions of simple detection?

The Stroop (1935) effect is the inability to ignore a color word when the task is to report the ink color of that word (i.e., to say "green" to the word RED in green ink). The present study investigated whether object-based processing contributes to the Stroop effect. According to this view, observers are unable to ignore irrelevant features of an attended object (Kahneman & Henik, 1981). In three experiments, participants had to name the color of one of two superimposed rectangles and to ignore words that appeared in the relevant object, in the irrelevant object, or in the background. The words were congruent,

The aim of the present study is to find out whether engaging in tasks involving words, colors, and inhibition word and color tasks would significantly differ in response times.

This study examined whether participant’s response times to global target were faster than local targets. Participants had to identify global and local shapes and letters as quick as possible and the response times which were recorded to the computer data. The study was a replication of Navon’s (1977), (cited in Ness Smith and Thirkettle, 2014) experiment but differed, as it was a focused attention task whereas this experiment was a divided attention task. This was the same as Yovel (2001), (cited in Ness, Smith and Thirkettle, 2014) mixed attention task study which tested the global to local accounts. The current

The experiment was to study color and orientation of encoding from different parts of objects. Color feature was altered in 50% of the trials and participants were asked to detect this change. The stimuli presented to each participant in on feature consisted visually a small circle with an oriented bar crossing in the middle of circle, forming a Saturn-like object. Each stimulus was displayed on a gray background and used black oriented bars with the small colored circles using 4 colors. Six display types were utilized: single-feature with 5 color, single-feature with 10 color displays, all contained the 5 and 10 circles with the colors being the main focus of this condition. The next two conditions were; single-feature with 5 orientation and single-feature with 10 orientation displays, however these features are focusing on the orientation of each of the bars that are being displayed. The final two displays are that of the

1. The authors decided to do a replication of a study performed by of Ramachandran & Hubbard (2001) and Hubbard (2005). From this study researchers looked at individuals who had synaesthetes and how they interpreted shapes, numbers and colors. Results from their study showed that individuals who had synaesthetes performed better by interpreting certain pictures by using more of the ‘pop-out’ effect rather than using the serial search effect. It also “assumed that color and shapes are processed independently, which does not hold true for people who have synathecia, giving that some amount of grapheme processing must be required for the color to be included”(Ramachandran & Hubbard 2001b, 2003b). Due to these findings researchers decided to “correct”

The Speed of Processing theory, which is what tends to happen when a person processes an action without being aware of it, is one of them [5]. Naming the color of the font of a word is not as common as reading an actual word. What this means is that easy tasks that we tend to overlearn since childhood, such as reading every word we see, tend to go into effect in our brain right after visual contact. Another explanation lies in the Selective Attention theory. Broadbent's 1985 study can explain the Selective Attention theory. Broadbent declared that information first enters a "sensory buffer" [6]. After the information enters the sensory buffer, selection of one of the inputs takes place within the basis of its physical characteristics. Broadbent places emphasis on what he calls a "sensory buffer" or filter in his study. This filter is used to prevent the brain from processing excessive amounts of information that could cause it to become overwhelmed and lose its ability to process the data efficiently [6]. The data that does not go through the filter does not become processed and eventually disintegrates [6]. Reading words does not require as much attention as naming the font color of a word does, which is why selective attention takes place [6]. Overall, the mind chooses to work with the task that requires the least amount of

Measures of CC have commonly included tasks requiring attention to internal (local) details, such as tasks which require the neglect of canonical arrangement of dots when counting, a Homograph Reading Task (Burnette et al., 2005) and the Embedded Figures Tasks (EFT) (Baron-Cohen & Hammer, 1997). More recently, a measure focusing on biases towards global processing rather than local was conducted using hierarchical (global / local) Navon figures (Deruelle et al., 2006). Findings were still found to support those of local-focused measures.

This lab will alter a previously learned response, the catching of a falling ruler in an attempt to enhance the sense of unlearned higher information processing. According to Lutterschmidt, “if this experiment is repeated enough times, then the unlearned response will eventually become a learned response.” However, the processes within the experiment were only repeated for a total of three trials. Therefore, it is thought that there were no significant differences observed between the learned and unlearned response times.

In terms of validity, the testing undertaken measured exact reaction times with different stimuli present (independent variables), therefore testing exactly what was stated. There were numerous variables controlled, leaving little room for marginal error, however, minor factors may have been present, though not significant enough to impact results or make results invalid.

If the reaction time between the stimulus and the response increases when the colour of the word and the word itself are not the same, then the reaction time would decrease when the word and the colour of the word are the same. The Stroop effect is an observable way to view the difficulties the brain has in identifying conflicting sensory information. The conflicting sensory data that people are given will affect the time of their responses and impact on their ability to read the information out correctly and fluently.

From these results, we see that some subjects were able to mentally rotate an image faster than others, and that this process could take more than 30 milliseconds to complete. Our results demonstrate that participants were more than just accurate when making a judgment about the nature of mental representation of an image; they were also unique in their abilities in that each participant was capable of completing a different number of trials. Reaction time also varied among individuals in both same-data (figure 3) and mirror-date (figure 4). The data from the experiment provided supporting evidence for our hypothesis, which states that reaction time would increase as a function of the angle of rotation for which the three-dimensional

The reaction time (RT) of students was measured in the experiment to determine whether light or sound stimulus initiates a quicker response time. The question of whether or not RT was related to movement time (MT) was also challenged. Each student performed two test in random order; one testing the reaction time of a red light stimulus, or visual reaction time (VRT); and the other testing the reaction time of a “beeping” sound stimulus, or auditory reaction time (ART). The student completed the VRT trial by simply receiving the stimulus and pressing a button. The student placing and holding their hand on a button starts the ART trial. Once the student receives the stimulus (beep) they press the adjacent button as fast as they can. The ART trial does not only include the data of the RT, but also the data from the MT. Having previous knowledge that light travels faster than sound; one can predict that VRT is faster than ART. The prediction that MT is independent upon RT can be made with the thought that there are so many opposing variables that could affect the MT of an individual unrelated RT such as old age

We are replicating J.R. Stroop’s original experiment The Stroop Effect (Stroop, 1935). The aim of the study was to understand how automatic processing interferes with attempts to attend to sensory information. The independent variable of our experiment was the three conditions, the congruent words, the incongruent words, and the colored squares, and the dependent variable was the time that it took participants to state the ink color of the list of words in each condition. We used repeated measures for the experiment in order to avoid influence of extraneous variables. The participants were 16-17 years of age from Garland High School. The participants will be timed on how long it takes them to say the color of the squares and the color of the words. The research was conducted in the Math Studies class. The participants were aged 16-17 and were students at Garland High School. The results showed that participants took the most time with the incongruent words.