SlideShare a Scribd company logo
1 of 1
Download to read offline
Results
Threat Perception and Context Sensitivity Relation
Dan McDonald, Suhair Asi, and Spencer Lynn
Introduction
An individual’s judgment of how
threatening a face looks could be
altered by the context surrounding
that face. The idea of “context
sensitivity” has been studied as a
key aspect to the decision making
process. Context sensitivity argues
that when there is a collection of
options from which the decision
maker must choose then the
alternative options within the
collection compromise a unique
context (Busemeyer, 1993).
In Busemeyer's study, he noticed
this issue when studying economic
decision making. Subjects were
asked to choose between a gamble
and a certain value. Option A was
win or lose 5 cents with equal
probability. Option B was the win or
lose 50 cents with equal probability.
Option C was a certain loss of 1
cent. Option D was a certain gain of
1 cent. The probabilities of choosing
A over C, B over C, A over D, and B
over D were found: the probability
was higher to choose A over C than
B over C. These results would imply
that the probability to pick A is
always greater than B. However,
this was not the case; the pattern
was reversed for the A vs. D and B
vs. D choices. This meant that the
participants made the decision
based on the pairings rather than
on a preference for a specific
option.
From Busemeyer’s findings, we
hypothesized that a person’s
judgment of a face being
threatening would be influenced by
the other faces that one was also
judging. The set of faces under
consideration might form a context
that can influence one’s perception
of a target face.
References
Busemeyer, Jerome R., and James T.
Townsend. "Decision Field Theory: A
Dynamic-cognitive Approach to
Decision Making in an Uncertain
Environment." Psychological Review
100.3 (1993): 432-59.
Olivola, C. Y., Funk, F., & Todorov, A.
(2014). Social attributions from faces
bias human choices. Trends in
Cognitive Sciences, 18(11), 566-570.
Methods
Our study examines participants’
ability to effectively categorize two
different faces during a threat
perception task. We recruited 28
participants from the Northeastern
University student-body population.
Participants saw two different series
of faces that ranged from non-
threatening physiognomy (i.e., the
shape of facial features) to
threatening physiognomy.
According to previous research,
certain facial features create a more
threatening look than others, for
example, a stronger jaw line is more
threatening than a rounded or
weaker one (Olivola, 2014). Faces
were constructed using FaceGen
Modeler software. Each face series
comprised 11 “morphs” of a “base”
face. With each morph, facial
features changed very slightly, in
almost unnoticeable distinctions.
For example, the size of the
individual’s nostrils went from very
small to very large. The faces
ranged from 1-11, one being the
most non-threatening and 11 being
most threatening.
In run 1 of the experiment the face
series were created from two young
base faces. In run 2 of the
experiment an old base face was
used in place of one of the young
base faces. The two young faces
were approximately 20-30 years of
age while the old face was
approximately 50-60 years of age.
During the perception task,
participants viewed one face at a
time for 500 ms. Participants
earned or lost points by correctly
detecting whether or not the face
was threatening. They were
instructed to earn as many points
as they could over 300 trials. The
point values favored a conservative
bias, which means a tendency to
categorize the faces as not
threatening. Therefore, participants
with a more conservative bias
earned more points during the
study.
Conclusion &
Discussion
The threat physiognomy’s
dependency on a stimulus’
surroundings upholds Busemyer’s
(1993) findings of context sensitivity
because the choices surrounding
each stimulus influence the
participant’s perception and
ultimately his or her decision. While
conducting the threat physiognomy
study, a person’s threat perception
was affected by other options
present. Threat perception
experiences this phenomenon
because an individual is affected by
context sensitivity when analyzing a
threat, making Busemyer’s (1993)
findings applicable.
Though successful in identifying
context sensitivity, our experiment
is limited by the demographics of
the participants (solely Northeastern
Students with an average age of
18-22 years) and the type of stimuli
(only white males). Future studies
would ideally study faces of both
genders and different races, and
the studies should select a larger
variety for the demographic of
participants.
Currently, we are investigating how
adding an additional stimulus to the
face perception task would intensify
or hinder a person’s threat
perception. Context sensitivity is
applicable to a person’s threat
perception and would need further
investigation to determine if the
relation can be applied to all
settings.
Abstract
Social threat perception is the ability
to effectively identify person as a
threat or not. We investigated
whether or not people’s evaluation
of a face as threatening is biased by
other faces they are also
evaluating. Over two runs of the
experiment, participants had to
judge three faces that were similar
in features and state “yes” or “no”
when asked if they were
threatening. Participants earned
and lost points for correct and
incorrect categorization of the
faces, and were instructed to earn
as many points as they could. With
the points as motivation, a slight
bias to categorize faces as not
threatening would maximize
earnings. We hypothesized that the
participants would not judge the
target face, which was present in
both runs, any differently when it
was paired with another face, which
differed on the two runs. However,
participants judged the target face
to be more threatening when it was
paired with a young face (run 1)
than when paired with an old face
(run 2). These results show that the
participants were judging the two
faces in relation to each other rather
than separately. We conclude that
context sensitivity, meaning people
use everything in the situation to
form judgments, altered how people
perceived the target face.
We created the graph using the results from each participant (n=14). The data collected is
averaged to display the function of the participants' behavioral response to the target face
series. The calculations were determined by calculating the participants’ average portion of
times they said the target face was threatening. The graph displays the participants’
responses to the the target face (blue) and alternative face (green). A line’s inflection point is
the participants’ threshold of threat detection
0.00
0.20
0.40
0.60
0.80
1.00
1.20
1 2 3 4 5 6 7 8 9 10 11
ProbabilityofperceivedThreat
Range of faces from non-threatening to threatening
Run 1
Target Face, Run1
Altered Face, Run 1
We created an aged version the target face series to see if an aged version would stimulate a
different response. Initially, we thought the aged face would be seen as less threatening due
to its age (50-60 years old), but the aged face was perceived as more threatening in
comparison to the target face. The graph represents the participants’ responses when
stimulated with the target face (red) and the aged alternative face (green) (n=14).
0.00
0.20
0.40
0.60
0.80
1.00
1.20
1 2 3 4 5 6 7 8 9 10 11
ProbabilityofPerceivedthreat
Range of faces from non-threatening to threatening
Run 2
Target Face, Run2
Aged Target Face, Run2
By comparing both target face graphs side by side, we were able to conclude that the threat
perception of the target face was context sensitive, which makes the stimulus dependent on
the other stimuli surrounding the target face. The threshold determines where the participant’s
perception of the faces shifts from non-threatening to threatening. When comparing the two
data sets, the target face’s threshold location increased during Run 2. Participants found the
target face to be significantly less threatening when it was paired with the aged face in Run 2
than when it was paired with the young face in Run 1 (t25=-5.2, P<0.001).
0.00
0.20
0.40
0.60
0.80
1.00
1.20
1 2 3 4 5 6 7 8 9 10 11
ProbabilityofperceivedThreat
Range of faces from non-threatening to threatening
Run 1 and Run 2 Results
Mean Target Face, Run 1
Mean Target Face, Run 2
McDonald, D., Asi, S., and Lynn, S. K. 2015. Threat perception and context sensitivity relation. Presented at the Fall
Symposium of the Interdisciplinary Affective Science Laboratory, Northeastern University, Boston, Massachusetts.

More Related Content

Similar to McDonald & Asi 2015 threat perception consext sensitivity

RISE2016_FacePerception_FINAL (1)
RISE2016_FacePerception_FINAL (1)RISE2016_FacePerception_FINAL (1)
RISE2016_FacePerception_FINAL (1)
Daniel McDonald
 
NEPA attractiveness poster
NEPA attractiveness posterNEPA attractiveness poster
NEPA attractiveness poster
Brent Buckley
 
Psy intro to research methods reading
Psy intro to research methods readingPsy intro to research methods reading
Psy intro to research methods reading
Robert Matek
 
When Beauty is a Beast
When Beauty is a BeastWhen Beauty is a Beast
When Beauty is a Beast
Spencer Turner
 
Payoffs Probabilities and Preferences
Payoffs Probabilities and PreferencesPayoffs Probabilities and Preferences
Payoffs Probabilities and Preferences
Andrew Turscak
 
Research paper GSR100C (2)
Research paper GSR100C (2)Research paper GSR100C (2)
Research paper GSR100C (2)
Pablo Jimenez
 
Research ArticleDomain Specificity inExperimental Measur.docx
Research ArticleDomain Specificity inExperimental Measur.docxResearch ArticleDomain Specificity inExperimental Measur.docx
Research ArticleDomain Specificity inExperimental Measur.docx
rgladys1
 
And_the_winner_is_the_differences_in_smi
And_the_winner_is_the_differences_in_smiAnd_the_winner_is_the_differences_in_smi
And_the_winner_is_the_differences_in_smi
Miroslava Trnkova
 
RISE 2015 Senft, Stallings PDF
RISE 2015 Senft, Stallings PDFRISE 2015 Senft, Stallings PDF
RISE 2015 Senft, Stallings PDF
Julia Senft
 
1AFFECTIVE FORECASTINGAFFECTIVE FORECASTING
1AFFECTIVE FORECASTINGAFFECTIVE FORECASTING 1AFFECTIVE FORECASTINGAFFECTIVE FORECASTING
1AFFECTIVE FORECASTINGAFFECTIVE FORECASTING
EttaBenton28
 
Effects of valuing an individual’s wellbeing_ evoking empathy and motivating ...
Effects of valuing an individual’s wellbeing_ evoking empathy and motivating ...Effects of valuing an individual’s wellbeing_ evoking empathy and motivating ...
Effects of valuing an individual’s wellbeing_ evoking empathy and motivating ...
Kayla Brown
 
Reciprocal Inclinations of Smithies Presentation-5-4
Reciprocal Inclinations of Smithies Presentation-5-4Reciprocal Inclinations of Smithies Presentation-5-4
Reciprocal Inclinations of Smithies Presentation-5-4
Eileen Fung
 
Vol 12 No 1 - June 2015
Vol 12 No 1 - June 2015Vol 12 No 1 - June 2015
Vol 12 No 1 - June 2015
ijlterorg
 
Running head COLOR PRIMING AND FOREWARNING 1 .docx
Running head COLOR PRIMING AND FOREWARNING 1 .docxRunning head COLOR PRIMING AND FOREWARNING 1 .docx
Running head COLOR PRIMING AND FOREWARNING 1 .docx
todd271
 

Similar to McDonald & Asi 2015 threat perception consext sensitivity (20)

RISE2016_FacePerception_FINAL (1)
RISE2016_FacePerception_FINAL (1)RISE2016_FacePerception_FINAL (1)
RISE2016_FacePerception_FINAL (1)
 
Community poster
Community posterCommunity poster
Community poster
 
NEPA attractiveness poster
NEPA attractiveness posterNEPA attractiveness poster
NEPA attractiveness poster
 
Psy intro to research methods reading
Psy intro to research methods readingPsy intro to research methods reading
Psy intro to research methods reading
 
When Beauty is a Beast
When Beauty is a BeastWhen Beauty is a Beast
When Beauty is a Beast
 
Payoffs Probabilities and Preferences
Payoffs Probabilities and PreferencesPayoffs Probabilities and Preferences
Payoffs Probabilities and Preferences
 
Hogan and Holloway poster (1)
Hogan and Holloway poster (1)Hogan and Holloway poster (1)
Hogan and Holloway poster (1)
 
Research paper GSR100C (2)
Research paper GSR100C (2)Research paper GSR100C (2)
Research paper GSR100C (2)
 
A Structural Equation Modeling among Stress, Fear of Negative Evaluation and ...
A Structural Equation Modeling among Stress, Fear of Negative Evaluation and ...A Structural Equation Modeling among Stress, Fear of Negative Evaluation and ...
A Structural Equation Modeling among Stress, Fear of Negative Evaluation and ...
 
Research ArticleDomain Specificity inExperimental Measur.docx
Research ArticleDomain Specificity inExperimental Measur.docxResearch ArticleDomain Specificity inExperimental Measur.docx
Research ArticleDomain Specificity inExperimental Measur.docx
 
And_the_winner_is_the_differences_in_smi
And_the_winner_is_the_differences_in_smiAnd_the_winner_is_the_differences_in_smi
And_the_winner_is_the_differences_in_smi
 
RISE 2015 Senft, Stallings PDF
RISE 2015 Senft, Stallings PDFRISE 2015 Senft, Stallings PDF
RISE 2015 Senft, Stallings PDF
 
1AFFECTIVE FORECASTINGAFFECTIVE FORECASTING
1AFFECTIVE FORECASTINGAFFECTIVE FORECASTING 1AFFECTIVE FORECASTINGAFFECTIVE FORECASTING
1AFFECTIVE FORECASTINGAFFECTIVE FORECASTING
 
Poster FINAL
Poster FINALPoster FINAL
Poster FINAL
 
Vlastos, D., Kyritsis, M., Papaioannou-Spiroulia, A., & Varela V.-A. (2017). ...
Vlastos, D., Kyritsis, M., Papaioannou-Spiroulia, A., & Varela V.-A. (2017). ...Vlastos, D., Kyritsis, M., Papaioannou-Spiroulia, A., & Varela V.-A. (2017). ...
Vlastos, D., Kyritsis, M., Papaioannou-Spiroulia, A., & Varela V.-A. (2017). ...
 
Effects of valuing an individual’s wellbeing_ evoking empathy and motivating ...
Effects of valuing an individual’s wellbeing_ evoking empathy and motivating ...Effects of valuing an individual’s wellbeing_ evoking empathy and motivating ...
Effects of valuing an individual’s wellbeing_ evoking empathy and motivating ...
 
Reciprocal Inclinations of Smithies Presentation-5-4
Reciprocal Inclinations of Smithies Presentation-5-4Reciprocal Inclinations of Smithies Presentation-5-4
Reciprocal Inclinations of Smithies Presentation-5-4
 
Vol 12 No 1 - June 2015
Vol 12 No 1 - June 2015Vol 12 No 1 - June 2015
Vol 12 No 1 - June 2015
 
preliminary-study-for-gatekeepers-self-efficacy-scale-among-resident-assistan...
preliminary-study-for-gatekeepers-self-efficacy-scale-among-resident-assistan...preliminary-study-for-gatekeepers-self-efficacy-scale-among-resident-assistan...
preliminary-study-for-gatekeepers-self-efficacy-scale-among-resident-assistan...
 
Running head COLOR PRIMING AND FOREWARNING 1 .docx
Running head COLOR PRIMING AND FOREWARNING 1 .docxRunning head COLOR PRIMING AND FOREWARNING 1 .docx
Running head COLOR PRIMING AND FOREWARNING 1 .docx
 

McDonald & Asi 2015 threat perception consext sensitivity

  • 1. Results Threat Perception and Context Sensitivity Relation Dan McDonald, Suhair Asi, and Spencer Lynn Introduction An individual’s judgment of how threatening a face looks could be altered by the context surrounding that face. The idea of “context sensitivity” has been studied as a key aspect to the decision making process. Context sensitivity argues that when there is a collection of options from which the decision maker must choose then the alternative options within the collection compromise a unique context (Busemeyer, 1993). In Busemeyer's study, he noticed this issue when studying economic decision making. Subjects were asked to choose between a gamble and a certain value. Option A was win or lose 5 cents with equal probability. Option B was the win or lose 50 cents with equal probability. Option C was a certain loss of 1 cent. Option D was a certain gain of 1 cent. The probabilities of choosing A over C, B over C, A over D, and B over D were found: the probability was higher to choose A over C than B over C. These results would imply that the probability to pick A is always greater than B. However, this was not the case; the pattern was reversed for the A vs. D and B vs. D choices. This meant that the participants made the decision based on the pairings rather than on a preference for a specific option. From Busemeyer’s findings, we hypothesized that a person’s judgment of a face being threatening would be influenced by the other faces that one was also judging. The set of faces under consideration might form a context that can influence one’s perception of a target face. References Busemeyer, Jerome R., and James T. Townsend. "Decision Field Theory: A Dynamic-cognitive Approach to Decision Making in an Uncertain Environment." Psychological Review 100.3 (1993): 432-59. Olivola, C. Y., Funk, F., & Todorov, A. (2014). Social attributions from faces bias human choices. Trends in Cognitive Sciences, 18(11), 566-570. Methods Our study examines participants’ ability to effectively categorize two different faces during a threat perception task. We recruited 28 participants from the Northeastern University student-body population. Participants saw two different series of faces that ranged from non- threatening physiognomy (i.e., the shape of facial features) to threatening physiognomy. According to previous research, certain facial features create a more threatening look than others, for example, a stronger jaw line is more threatening than a rounded or weaker one (Olivola, 2014). Faces were constructed using FaceGen Modeler software. Each face series comprised 11 “morphs” of a “base” face. With each morph, facial features changed very slightly, in almost unnoticeable distinctions. For example, the size of the individual’s nostrils went from very small to very large. The faces ranged from 1-11, one being the most non-threatening and 11 being most threatening. In run 1 of the experiment the face series were created from two young base faces. In run 2 of the experiment an old base face was used in place of one of the young base faces. The two young faces were approximately 20-30 years of age while the old face was approximately 50-60 years of age. During the perception task, participants viewed one face at a time for 500 ms. Participants earned or lost points by correctly detecting whether or not the face was threatening. They were instructed to earn as many points as they could over 300 trials. The point values favored a conservative bias, which means a tendency to categorize the faces as not threatening. Therefore, participants with a more conservative bias earned more points during the study. Conclusion & Discussion The threat physiognomy’s dependency on a stimulus’ surroundings upholds Busemyer’s (1993) findings of context sensitivity because the choices surrounding each stimulus influence the participant’s perception and ultimately his or her decision. While conducting the threat physiognomy study, a person’s threat perception was affected by other options present. Threat perception experiences this phenomenon because an individual is affected by context sensitivity when analyzing a threat, making Busemyer’s (1993) findings applicable. Though successful in identifying context sensitivity, our experiment is limited by the demographics of the participants (solely Northeastern Students with an average age of 18-22 years) and the type of stimuli (only white males). Future studies would ideally study faces of both genders and different races, and the studies should select a larger variety for the demographic of participants. Currently, we are investigating how adding an additional stimulus to the face perception task would intensify or hinder a person’s threat perception. Context sensitivity is applicable to a person’s threat perception and would need further investigation to determine if the relation can be applied to all settings. Abstract Social threat perception is the ability to effectively identify person as a threat or not. We investigated whether or not people’s evaluation of a face as threatening is biased by other faces they are also evaluating. Over two runs of the experiment, participants had to judge three faces that were similar in features and state “yes” or “no” when asked if they were threatening. Participants earned and lost points for correct and incorrect categorization of the faces, and were instructed to earn as many points as they could. With the points as motivation, a slight bias to categorize faces as not threatening would maximize earnings. We hypothesized that the participants would not judge the target face, which was present in both runs, any differently when it was paired with another face, which differed on the two runs. However, participants judged the target face to be more threatening when it was paired with a young face (run 1) than when paired with an old face (run 2). These results show that the participants were judging the two faces in relation to each other rather than separately. We conclude that context sensitivity, meaning people use everything in the situation to form judgments, altered how people perceived the target face. We created the graph using the results from each participant (n=14). The data collected is averaged to display the function of the participants' behavioral response to the target face series. The calculations were determined by calculating the participants’ average portion of times they said the target face was threatening. The graph displays the participants’ responses to the the target face (blue) and alternative face (green). A line’s inflection point is the participants’ threshold of threat detection 0.00 0.20 0.40 0.60 0.80 1.00 1.20 1 2 3 4 5 6 7 8 9 10 11 ProbabilityofperceivedThreat Range of faces from non-threatening to threatening Run 1 Target Face, Run1 Altered Face, Run 1 We created an aged version the target face series to see if an aged version would stimulate a different response. Initially, we thought the aged face would be seen as less threatening due to its age (50-60 years old), but the aged face was perceived as more threatening in comparison to the target face. The graph represents the participants’ responses when stimulated with the target face (red) and the aged alternative face (green) (n=14). 0.00 0.20 0.40 0.60 0.80 1.00 1.20 1 2 3 4 5 6 7 8 9 10 11 ProbabilityofPerceivedthreat Range of faces from non-threatening to threatening Run 2 Target Face, Run2 Aged Target Face, Run2 By comparing both target face graphs side by side, we were able to conclude that the threat perception of the target face was context sensitive, which makes the stimulus dependent on the other stimuli surrounding the target face. The threshold determines where the participant’s perception of the faces shifts from non-threatening to threatening. When comparing the two data sets, the target face’s threshold location increased during Run 2. Participants found the target face to be significantly less threatening when it was paired with the aged face in Run 2 than when it was paired with the young face in Run 1 (t25=-5.2, P<0.001). 0.00 0.20 0.40 0.60 0.80 1.00 1.20 1 2 3 4 5 6 7 8 9 10 11 ProbabilityofperceivedThreat Range of faces from non-threatening to threatening Run 1 and Run 2 Results Mean Target Face, Run 1 Mean Target Face, Run 2 McDonald, D., Asi, S., and Lynn, S. K. 2015. Threat perception and context sensitivity relation. Presented at the Fall Symposium of the Interdisciplinary Affective Science Laboratory, Northeastern University, Boston, Massachusetts.