Emotional Valence Words on a Level of Masked Repetitive Priming and its Effect

Emotional valence words on a level of masked repetitive priming and its effect
Student name: Jullie Franciska Indriani
Student id: 102132206
Due date: Monday, 13th of January 2020
Word count: 1700
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Abstract
The study and the included experiments aimed to evaluate the influence of semantic
priming on different individuals on the basis of their perceived difference depending on the
conscious and unconscious effort to recognize and identify during the experiments. A total of
three experiments were carried out with a group of 65 students from the University of
Melbourne who all claimed English to be their Native language. The first experiment, namely
the meaning experiment was to determine the way they connect the semantics of the meaning
of the word for them as positive, negative or neutral. The second experiment and its result
were based on two scales- Spielberg State-Trait Anxiety Inventory (SSTAI) and Oxford
Happiness Scale (OHS) for the evaluation to be based on and easier to recognize the
emotional identification of the word as positive and negative. During the experiments, the
second and the third were combined to get a better assessment of the emotional valence and
association. The result was a confirmation of the predominant conception that the reactions
were quicker for the negative words.
Introduction
The study of semantic activation and priming has been at the forefront of arguments
in the area of cognitive recognition of stimuli identification in the formation and association
of words. The task consists of experiments carried out to search the relation between stimuli,
both symbolic and perceptual with the semantic activation which Heyman specified in his
paper – “The Influence of Working Memory Load on Semantic Priming”. The conscious and
unconscious access of an individual is characterised by the responses chartered during the
experiments showing the recognition of negative semantic recognition which is quicker and is
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retained more than the positive words. This was done with the aim of analysing the impact of
stimuli which is processed by the conscious processing given to them through the Learning
Management System. The individuals were observed to be following the experiments
chronologically without anyone changing their direction.
Perceptions were not only based on their awareness of the note and meaning denoting
it but the connotation of the stimuli which arose in them due to the use of the different cases
of the alphabets used. It also enabled the experiment and the researcher to reach the result
whether the awareness was the sole reason for the conception and perception. The conscious
effort which the individual thought was not entirely conscious but it was triggered by the
perception which came into play without them being aware of it. As the same negative word
denoted negative stimuli in the individual when used in the uppercase was taken as positive
under unrelated priming. This came as a breakthrough supporting the hypotheses that the
stimuli are not always the result of the conscious and the aware but rather the cognitive
recognition under the load. The individuals were completing the experiments in the sequence
they were provided without deviating due to the cognitive pressure of retaining the pairs
which they knew would be analysed in the next step. Perception, plays an important role here
such that they knew they would be able to respond better following the sequence signifying
the compliance with the theory of Deutsch that an individual is able to retain information
intentionally that they want to in order to get the result they want. It breaks away from the
assumption that perception is the result of an unconscious recognition and retention of the
information around them. It is instead the conscious effort of an individual which comes into
play, when they are already aware of the experiment. In scenarios such as these, they are able
to manipulate their reaction to permit themselves to fare better.
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The research consisted of a lexical experiment where masked priming played a pivotal
role. It could be reflected to study the priming effect on the individuals based on the cognitive
reaction. Numerous studies are already present in the aspect which shows us the segregation
of words into three distinct divisions. The process of categorizing these responses with
respect to the stimulus produced in an individual is termed as the priming effect. Therefore,
the categorization follows as- the first stimulus is due to the visualization of the formation of
the word which is shown to have a distinct effect on the psychology of onlooker. This is the
orthographic effect where the alphabets and its structure has stimuli or more likely a prompt
which produces an image in the mind of an individual. The second stimulus is the result of
the phonological effect of the word, formed by the combination of alphabets and the sound of
the term produced when spoken. And lastly, the meaning of the word which sometimes again
plays as a prompt which may or may not respond to the actual meaning of the word.
The study is also aimed at finding the semantic priming effect which can be defined
as the unconscious response produced in an individual as a result of being exposed to another
completely unrelated to the given the word. For example, the use of accidents are more
recognized with the use of the term Cars and yet it is not the case with a bicycle. This is due
to the fact known as repetitive semantic, where the human mind unconsciously saves the
result of each stimulus and the next mention or occurrence of these will result in a quicker
recognition (Bodner & Stalinski, 2008). The process continues to be modified each time a
new unrelated prime gets added and later has been observed to take almost the face of an
automatic sequence where the process occurs unconsciously and yet they are not the result of
the unconscious.
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The study clearly forms three hypotheses- the use of two different scales signifying
positive and negative response where the negative response is higher for people with anxiety
and the people scoring higher on the happiness scale responds to the positive words. The
second hypotheses formed is based on the response time for the words and their association
that they react quickly to the related primes quicker than the unrelated prims. The third and
the last hypotheses are the relations between the priming effect and the emotional association
which is found to score higher on the OHS (Hills & Argyle, 2002).
Method
Participants
Sixty-five students from a medium sized university in Melbourne participated in the
experiment. All claimed to be native speakers of English.
Materials
Word stimuli. There were sixty target words, half of which were positive and half of
which were negative. In addition to these target words there were thirty neutral words that
were used as unrelated primes. This created sixty prime target pairs for each valence, thirty of
which were related (repetition priming) and thirty were unrelated. The words in each group
were balanced on psycholinguistic characteristics including word frequency, letter length, and
association strength using the website of Landauer and Dumais. Repetition priming was used
such that each target word (in lower case) was primed by the same word in upper case
(related prime-target pair), or was paired with a prime word (in upper case) of neutral
emotional valence (unrelated prime-target pair). An example negative related repetition
prime-target pair was TORTURE-torture, and the corresponding unrelated prime-target pair
was JETTY-torture.
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Individual differences measures. The state items from the Spielberg State-Trait
Anxiety Inventory (SSTAI; Spielberger et al., 1983) were used to provide a measure of
anxiety, which is a negatively valenced emotion. Items from the Oxford Happiness Scale
(OHS; Argyle et al., 1995) were used to provide a measure of happiness, which is a positive
valenced emotion.
Procedure
Participants reached the experiment via a link on the Learning Management System.
Participants were informed about the sequence of events in the task, and asked to respond as
quickly and as accurately as possible. For each of the three main sections of the experiment,
they completed 10 practice trials followed by 60 experimental trials. The first section of the
experiment asked participants to classify words presented on the screen as negative or
positive emotional valence (Meaning Task). The second task repeated the meaning task, but
this time in a dual task situation (Cognitive Load Task), where they were also asked to
remember a pattern containing four x's and 4 o's in various configurations. After every five
trials of the meaning task, they were asked to recall the current pattern, and then were asked
to remember a new pattern. Following this, they were presented with a list of questions that
they should answer based on their initial intuition without thinking too hard. The questions
were from the two surveys, with the questions from the SSTAI (Spielberger et al., 1983)
being presented first and the OHS second (Hills & Argyle, 2002). The experimental task and
the two short surveys took about 15 minutes to complete.
All of the participants performed the sequence of tasks in the same order without
counterbalancing, beginning with the Meaning Task, followed by the Cognitive Load Task
followed by the surveys. The instructions in the Meaning Task were designed to get
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participants to make a judgement about the words based on them being either of negative
valence or positive valence. In the Cognitive Load Task, the participants were performing
two tasks simultaneously. At the end of each block of trials, the participant were given
performance feedback on latency to response and accuracy.
In terms of the stimulus presentation, the main stimuli always appeared in the centre
of the screen. The timing was as follows: (a) a forward letter mask appeared for 500 ms; (b)
the prime was then presented for 48 ms; (c) a backward mask appeared for 96 ms; and (e) the
target remained on the screen until the participant responded. In the Cognitive Load Task, the
pattern to be remembered appeared on the screen for 2500 ms, then five trials of the Meaning
Task occurred, and then the participant was asked to recall the pattern. The participant had 20
seconds to record their response and were given feedback as to whether the entry was correct
before being shown another pattern to remember.
Results
Data were screened for response times that were less than 200 ms or greater than 1000
ms, and for incomplete data sets. The final data set contained data from 65 participants. To
confirm that participants were successfully completing the meaning judgement in both
conditions tasks, the percentage of correct responses was collated for all conditions, and
presented in Table 1.
Table 1
Mean and SDs of the percentage of correct responses across conditions
Meaning Cognitive Load
Mean SD Mean SD
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Percent
correct 94.10 (5.19) 94.97 (4.31)
As can be seen from this table, the mean percent correct for all tasks was well above
90% and there were no obvious differences across the two tasks. The mean percent correct
for the pattern task was 82.11 (SD=15.63), confirming that participants were genuinely
attempting the second task in the cognitive load condition. Reaction times as a function of
emotional valence, task condition and prime relatedness are presented in Figure 1.
NEG MEAN POS MEAN NEG LOAD POS LOAD
550.00
570.00
590.00
610.00
630.00
650.00
670.00
690.00
710.00
730.00
750.00
REL UNREL
Mean Reaction Time (ms)
Figure 1. Mean reaction times and error rates for identical and unrelated prime
target pairs as a function of word valence and task condition. Note: REL=related,
UNREL=unrelated, POS=positive, NEG=negative, MEAN=meaning task,
LOAD=Cognitive load task. The error bars are +-1 SE.
As can be seen from Figure 1, reaction times were faster in the related compared to
the unrelated conditions. This difference in reaction times between related and unrelated
prime-target pairs is referred to as a priming effect. When comparing related trials between
the meaning and cognitive load conditions, reaction times appear generally faster for the load
conditions. However, for the unrelated trials, the reaction times appear slightly slower in the
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load task. In terms of priming effects, it appears the largest priming effects observed were for
negative words in the cognitive load task, followed by positive words in the same task. The
priming effects for the meaning tasks appear smaller than priming effects in the load
condition and appear relatively similar in size across valence. The same data from Figure 1
are presented to highlight priming effects for negatively and positively valenced words for
the different task conditions in Figure 2.
MEANING LOAD
0.00
20.00
40.00
60.00
80.00
100.00
120.00
140.00
NEGATIVE VALENCE POSITIVE VALENCE
Priming Effect (ms)
Figure 2. Mean priming effect as a function of word valence and task type. The
error bars are +-1 SE.
In order to determine whether the size of the priming effects differed between the
meaning and cognitive load task, a 2 (relatedness) by 2 (task) analysis of variance (ANOVA)
was conducted. This revealed a significant main effect of relatedness (F(1, 64)=115.30,
p<.001), suggesting a significant priming effect overall, and a significant interaction effect
between task and relatedness (F(1, 64)=48.03, p<.001), with priming effects being greater in
the cognitive load condition.
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A further two separate 2 (relatedness) by 2 (valence) ANOVAs were conducted to
determine whether differences in priming effects were significant between words of a
positive and negative valence for both the meaning and cognitive load conditions. For the
meaning condition, the analysis revealed a significant main effect of relatedness (F(1,
64)=31.07, p<.001) and valence (F(1, 64)=19.27, p<.001), with RTs for negatively valenced
words being faster than for positively valenced words. However, there was no significant
interaction between relatedness and valence (F(1, 64)=.44, p=.51), suggesting that priming
effects for the meaning conditions were relatively similar across valence. For the cognitive
load condition, the analysis revealed significant main effects for both relatedness (F(1,
64)=94.34, p<.001) and valence (F(1, 64)=4.88, p=.03), again revealing RTs for negative
trials were faster overall compared to positive trials. In contrast to the meaning task, a
significant interaction between relatedness and valence was observed (F(1, 64)=22.06,
p<.001), confirming the size of the priming effect for negatively valenced words was greater
than that of positively valenced words within this cognitive load task condition.
To examine any potential correlations between priming effects and individual
difference variables, the anxiety (STAI) and happiness (OHS) scores were correlated with the
size of the priming effect across emotional valence and task condition. While there was an
expected negative correlation between anxiety and happiness, (r = -.82, p < .001), none of the
correlations of specific interest to the research hypotheses were significant.
Discussion
The study deals with the effect of semantic activation on the emotional valence of
individuals basing on their anxiety quotient determining them on the anxiety and happiness
scale. The experiments carried out during the study aims to evaluate the cognitive response
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identifying them under the division of conscious and unconscious. The last or the third
experiment shows the working of the masked semantic priming which can be defined as the
psychological study comprising of lexical experimental activity. It gives us an insight into an
individual’s understanding of the words and the response by them shows their perception
they have in them consciously and unconsciously. The study helps us establish the
association of the working memory also referred to as conscious and the semantic priming
which is the repetition of the same word used as stimuli resulting in the same reaction again
and again. This is also referred to as the automatic priming which is considered to be
unconscious and forms the third hypotheses of the task. It is not proved by the study as the
automatic priming is observed to be emerging as a result of the repetitive priming (Bodner,
Masson & Richard, 2006). The study does show that their response is somewhat intuitive and
instinctive but it is the result of the repeated information saved by the mind and is
unconsciously the result of the conscious recognition of the stimuli.
However, the tables and the results show the verification of the first two hypotheses
establishing the relation between semantic priming and the emotional valence of an
individual through the first and the second experiment. The result of the first experiment
where the individuals were seen to be quicker to allocate the words in the negative section
irrespective of their due to their priming with the negative word is shown to be unable to
recognize them when they are written in the lower case (Neely & Kahan, 2001). The
cognitive load to remember the pairing and their patterns and the time given to recognize
them showed the conscious effort of the individual to retain them. However, it also confirmed
with the help of SSTAI scale, that people who scored higher on their anxiety were prone to
remember the pair denoting the negative while the people scoring high on the OHS scale
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showed the tendency to score higher on retaining the information of specific denomination.
This proved that in spite of the cognitive load individual tends to respond according to the
repetitive semantic.
The second experiment also records the response time where the participants verify
the second hypotheses that priming words if followed by words associated in their meaning
were recognized far quicker than the unrelated primes. That the recognition was based on the
meaning of the word proves the people sitting higher on the anxiety scale also happen to be
higher on the emotional valence. But, the people scoring higher in the happiness scale were
shown to be able to retain the negative pairs but on the positive scale reputes our hypotheses
that anxiety builds and higher and stronger on the priming. The third experiment moreover
evaluates their retaining power when they had to remember the patterns of the pairs they have
already recognized in the first and second. The result shows a drastic difference as they were
not able to retain the negative pairs and even if they did, they were quite low in comparison
to the number of positives by both groups. This also shows a deviation and emergence of new
hypotheses that forward priming is far easier fetched than backward priming as it is
dependent on the unconscious or the repetitive priming (Smets et al., 2015). The result
showed that people who recognized the negative pair during the first experiment failed to do
so when the cases of the words were changed. This shows the orthographic effect on the
emotional valence of the participants.
The study was a deviation from the previous researches as it also included the same
set of neutral words which showed how they could help assess the impact of negative and the
positive alike as people were unable to segregate most of them and placed them under
negative and positives. The difficulty in the process shows their cognitive perception of those
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words from their memory and how through repetitive priming these have been linked to their
positive or negative connotations (Merikle, Smilek & Eastwood, 2001). The complete timing
of the experiment was fifteen minutes which ended in a survey. The survey was again to
found to be mostly incomplete showing the effect of backward priming which was the proof
of the fleeting retaining power when the retention of the information is intentional rather than
cognitive.
The psychological study of the relationship between the semantic priming and the
emotional valence shown through the experiments does not reach any sustainable conclusion
but is shown to have opened a new perspective of research. The paper does verify two of the
hypotheses, thus substantiating the previous analyses and studies.
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