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Youth, Family, and Contextual Characteristics Predicting Violence Exposure: Disruptive Behavior Disorder
Symptoms as a Moderator
Penny S. Loosier, Michael Windle, & Eun Young Mun
The University of Alabama at Birmingham
Exploration of Memory and Language Function in Dementia with the SCiL Application
Giselle Urquijo, Kimberly Miller, Mabel Wong, Meera Shah, Ashima Kumar, and Adrian Cunningham
Faculty Advisor: Curt Burgess, curt@ucr.edu
Computational Cognition Lab, University of California, Riverside
● The SCiL questionnaires are our first attempt in
eliminating confounding factors and exploring possible
independent variables that may be present in this type
of research.
● Although we used empirical articles to assist and guide
formation of the questionnaires, some of questions are
original. We were not always able to find existing
questionnaires the topics, and a few of the SCiL
questionnaires (i.e., the Literacy Test) were constructed
for this app..
● Additionally, we are limited by other external factors (i.
e., overly distracting environments, the inevitable bias
of self report, inability to use technology, or the fact
that the app is only be available on iOS devices).
● We are aware of the length of the questionnaires and the
possibility that it could deter participants from
completing the entire questionnaire to the best of their
ability.
● Without a pilot study, we cannot be sure of the
complete validity and reliability of these questionnaires.
● Our hope is that the results from the initial use of our
app will allow us to make further adjustments to
optimize and constrict the length of the question portion
of the application, thus, making it more user friendly.
● With the results of our questionnaires, we can
determine if there are any predictors or correlations that
can be further investigating.
● In the future, we would like to make the SCiL app
available on additional platforms such as the Windows
phone and the Android.
● With the permission of the participant, all of the
participant’s information will be available on a secure
database for other researchers to utilize. This database
for the SCiL app will ensure both the security of the
participant’s sensitive data and that their data can be
used for other research purposes.
● The accumulation of the individual questionnaires for each
topic resulted in a final questionnaire consisting of over 100
questions.
● After some discussion, the final questionnaire was reduced
to a total of eighty-four questions.
● The questionnaires represent possible IVs correlating with
dementia.
● This app can be used as a template to generalize the
different factors that may contribute to the development of
dementia.
● As an example, collection of the data from the participants
will allow us to find which specific variables that may
correlate with the performance of older adults with regard to
technology, such as the ability to perceive and operate the
iPhone properly.
Example questions:
Literacy Test
The most effective _____ requires that a crew remove
the soil from a given area and place it in a giant hole in a
remote location.
⬜ method
⬜ mode
⬜ scheme
⬜ mechanism
Medical History
Please Select All that apply:
⬜ history of severe head trauma
⬜ frequent problems with memory/cognition
⬜ diagnosed dementia or memory loss
⬜ family history of dementia
A common problem found in research is engaging enough
participants in order to collect a sufficient amount of data.
ResearchKit
Apple recently released an open source framework called
ResearchKit which allows researchers to create an
application to collect data from a large pool of subjects -
Apple device users (i.e., mPower for Parkinson’s Disease).
The Semantic Cognition in Language (SCiL)
Application
Why This App?
● This app is being developed to collect a wide range of
results, thus allowing for a better representation of a
target population. Utilizing this app eliminates
participants having to come into the lab to collect data-
all data is collected on the participant’s device
● Although the main purpose of the app is to identify the
independent variables of dementia, the fact that we are
able to obtain data from such a large demographic
allows for these results to be used for more than just
dementia related research.
The Questionnaires
● To study the data, multiple questionnaires were
developed and compiled into one general questionnaire.
● Questionnaires will be placed before and after the tasks
and will collect information about the participants as
well as determine if they are capable of completing the
tasks on the application. These questionnaires will serve
as potential independent variables and will be presented
before the priming and categorization tasks.
Introduction Results Discussion
● Twenty-two questionnaire topics were divided amongst
five research assistants, who researched to determine
the relevance of each topic to dementia.
● The questionnaires were intended to provide data that
could be possible independent variables that may be
correlated with memory loss.
● PsycInfo and Google Scholar served as the primary
databases for searching for guidance in creating these
questionnaires.
● To come up with questionnaires that have not yet been
explored, we looked for related questionnaires that may
be available. In combination with research on what
aspects may be related to dementia, we developed our
own assessment tools for each topic.
● During weekly lab meetings, results were presented and
we discussed the progress of the research team as well
as actively searching for problems in topics and in the
question wording.
● Finalized questionnaires were placed on a cohesive list,
organized and optimally arranged.
Methods
Gender
Age
Ethnicity
Educational history
Employment
Income
Residential history
Medical history
Psychiatric history
Memory loss
Visual Acuity
Elderly people and
technology
Physical coordination
Literacy test
Nervousness
Test situational information
Mental activity
Motivation to do a task
Hobbies
Physical activities
Reading activities
Questionnaire Topics
Appendix/References
For appendix with all questionnaires and all references,
please see iPad.
SCiL utilizes the
ResearchKit
framework, and
is a joint project
with Apple Inc.,
SENAC Sao
Paolo, The
University of
Sao Paolo, and
the
Computational
Cognition Lab at
UCR.
It gathers both
semantic priming
and
The use of semantic priming helps us understand to
what extent the participants have impaired semantic
memory. By analyzing participants’ response times
to the target words of prime-target pairs, we hope
to understand what effect the disease has on human
memory and to collect data from normally
functioning people..
categorization task data from participants.
● The app will reach a large and diverse demographic of
people in and collect massive background information -
the target audience is elderly subjects experiencing
symptoms of dementia.
● This app’s results will be compared with the literature
in the area to determine any patterns or predictors.
Fixation points are shown at the start of the trial.
The fixation point appears on the screen to capture
the participant’s attention before the priming and/or
categorization trial begins.
The semantic categorization task prompts the
participants to decide what category a word
belongs in. This task tests the participant’s ability
to make complex decisions on conceptual
relationships based on the participant’s long-term
knowledge..
Fixation
Point
Interval Prime InterStimulus
Interval (ISI)
Target Response to question
Priming
Task
A point on
the screen
for the user
to initially
briefly look
at, usually
+ or •
Interval
(with blank
screen)
between
fixation
point and
prime,
usually lasts
300-500 ms
One of the
following
shown for a
specific
amount of
time:
1. Visual
(word) or
2. Auditory or
3. Picture or
4. Sentence
Interval (with
blank screen)
between prime
and target,
often 0ms but
could be up to
300-500 ms
One of the
following
shown for a
specific amount
of time:
1. Visual (word)
or
2. Auditory or
3. Picture
User is asked to respond to
a visual or auditory question
about the prime and/or
target, usually one of the
following:
1. Naming (saying the
target) or
2. Lexical decision (Was
the target a word?) or
3. Relatedness judgment
(Was target related to
prime?)
User’s response, accuracy
and Reaction Time (RT) are
recorded.
Question is on screen until
user responds.
Example + 300-500 ms CAT
100-1000ms
0-500 ms DOG
Stays on screen
until response
or some
deadline (e.g.,
5s)
pronouncing the target
Fixation Point Word(s), Sound(s) or
Picture(s)
Response to Question
Categorization
Task
A point on the
screen for the user
to initially briefly
look at, e.g. + or •
One of the following
shown for a specific
amount of time:
1. Visual (word(s)) or
2. Sound(s) or
3. Picture(s)
● User is asked to respond to a visual or auditory
question, requiring the user to categorize the
previous word, sound, or picture
● User’s response, accuracy and Reaction Time (RT)
are recorded.
● The question is on screen until user responds
Example 1 • CHAIR
100ms
The previous word is a type of:
FURNITURE FRUIT VEHICLE UNSURE
Example 2 + FURNITURE
100ms
What is an example of the previous word?
CHAIR ORANGE CAR UNSURE
Example 3 + CHAIR SOFA CAR
100ms
Which of the previous words does not belong?
CHAIR SOFA CAR UNSURE
Priming and Categorization
Patients with dementia have been shown to exhibit
impaired semantic memory, evidenced by their
performance on memory tasks like the priming and
categorization tasks.
Undergraduate Research Assistants:
Giselle Urquijo - gurqu002@ucr.edu
Kimberly Miller - kmill020@ucr.edu
Mabel Wong - mwong029@ucr.edu
Ashima Kumar - akuma011@ucr.edu
Meera Shah - mshah016@ucr.edu
Graduate Research Assistant:
Adrian Cunningham - acunn001@ucr.edu

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SCiL Poster

  • 1. Youth, Family, and Contextual Characteristics Predicting Violence Exposure: Disruptive Behavior Disorder Symptoms as a Moderator Penny S. Loosier, Michael Windle, & Eun Young Mun The University of Alabama at Birmingham Exploration of Memory and Language Function in Dementia with the SCiL Application Giselle Urquijo, Kimberly Miller, Mabel Wong, Meera Shah, Ashima Kumar, and Adrian Cunningham Faculty Advisor: Curt Burgess, curt@ucr.edu Computational Cognition Lab, University of California, Riverside ● The SCiL questionnaires are our first attempt in eliminating confounding factors and exploring possible independent variables that may be present in this type of research. ● Although we used empirical articles to assist and guide formation of the questionnaires, some of questions are original. We were not always able to find existing questionnaires the topics, and a few of the SCiL questionnaires (i.e., the Literacy Test) were constructed for this app.. ● Additionally, we are limited by other external factors (i. e., overly distracting environments, the inevitable bias of self report, inability to use technology, or the fact that the app is only be available on iOS devices). ● We are aware of the length of the questionnaires and the possibility that it could deter participants from completing the entire questionnaire to the best of their ability. ● Without a pilot study, we cannot be sure of the complete validity and reliability of these questionnaires. ● Our hope is that the results from the initial use of our app will allow us to make further adjustments to optimize and constrict the length of the question portion of the application, thus, making it more user friendly. ● With the results of our questionnaires, we can determine if there are any predictors or correlations that can be further investigating. ● In the future, we would like to make the SCiL app available on additional platforms such as the Windows phone and the Android. ● With the permission of the participant, all of the participant’s information will be available on a secure database for other researchers to utilize. This database for the SCiL app will ensure both the security of the participant’s sensitive data and that their data can be used for other research purposes. ● The accumulation of the individual questionnaires for each topic resulted in a final questionnaire consisting of over 100 questions. ● After some discussion, the final questionnaire was reduced to a total of eighty-four questions. ● The questionnaires represent possible IVs correlating with dementia. ● This app can be used as a template to generalize the different factors that may contribute to the development of dementia. ● As an example, collection of the data from the participants will allow us to find which specific variables that may correlate with the performance of older adults with regard to technology, such as the ability to perceive and operate the iPhone properly. Example questions: Literacy Test The most effective _____ requires that a crew remove the soil from a given area and place it in a giant hole in a remote location. ⬜ method ⬜ mode ⬜ scheme ⬜ mechanism Medical History Please Select All that apply: ⬜ history of severe head trauma ⬜ frequent problems with memory/cognition ⬜ diagnosed dementia or memory loss ⬜ family history of dementia A common problem found in research is engaging enough participants in order to collect a sufficient amount of data. ResearchKit Apple recently released an open source framework called ResearchKit which allows researchers to create an application to collect data from a large pool of subjects - Apple device users (i.e., mPower for Parkinson’s Disease). The Semantic Cognition in Language (SCiL) Application Why This App? ● This app is being developed to collect a wide range of results, thus allowing for a better representation of a target population. Utilizing this app eliminates participants having to come into the lab to collect data- all data is collected on the participant’s device ● Although the main purpose of the app is to identify the independent variables of dementia, the fact that we are able to obtain data from such a large demographic allows for these results to be used for more than just dementia related research. The Questionnaires ● To study the data, multiple questionnaires were developed and compiled into one general questionnaire. ● Questionnaires will be placed before and after the tasks and will collect information about the participants as well as determine if they are capable of completing the tasks on the application. These questionnaires will serve as potential independent variables and will be presented before the priming and categorization tasks. Introduction Results Discussion ● Twenty-two questionnaire topics were divided amongst five research assistants, who researched to determine the relevance of each topic to dementia. ● The questionnaires were intended to provide data that could be possible independent variables that may be correlated with memory loss. ● PsycInfo and Google Scholar served as the primary databases for searching for guidance in creating these questionnaires. ● To come up with questionnaires that have not yet been explored, we looked for related questionnaires that may be available. In combination with research on what aspects may be related to dementia, we developed our own assessment tools for each topic. ● During weekly lab meetings, results were presented and we discussed the progress of the research team as well as actively searching for problems in topics and in the question wording. ● Finalized questionnaires were placed on a cohesive list, organized and optimally arranged. Methods Gender Age Ethnicity Educational history Employment Income Residential history Medical history Psychiatric history Memory loss Visual Acuity Elderly people and technology Physical coordination Literacy test Nervousness Test situational information Mental activity Motivation to do a task Hobbies Physical activities Reading activities Questionnaire Topics Appendix/References For appendix with all questionnaires and all references, please see iPad. SCiL utilizes the ResearchKit framework, and is a joint project with Apple Inc., SENAC Sao Paolo, The University of Sao Paolo, and the Computational Cognition Lab at UCR. It gathers both semantic priming and The use of semantic priming helps us understand to what extent the participants have impaired semantic memory. By analyzing participants’ response times to the target words of prime-target pairs, we hope to understand what effect the disease has on human memory and to collect data from normally functioning people.. categorization task data from participants. ● The app will reach a large and diverse demographic of people in and collect massive background information - the target audience is elderly subjects experiencing symptoms of dementia. ● This app’s results will be compared with the literature in the area to determine any patterns or predictors. Fixation points are shown at the start of the trial. The fixation point appears on the screen to capture the participant’s attention before the priming and/or categorization trial begins. The semantic categorization task prompts the participants to decide what category a word belongs in. This task tests the participant’s ability to make complex decisions on conceptual relationships based on the participant’s long-term knowledge.. Fixation Point Interval Prime InterStimulus Interval (ISI) Target Response to question Priming Task A point on the screen for the user to initially briefly look at, usually + or • Interval (with blank screen) between fixation point and prime, usually lasts 300-500 ms One of the following shown for a specific amount of time: 1. Visual (word) or 2. Auditory or 3. Picture or 4. Sentence Interval (with blank screen) between prime and target, often 0ms but could be up to 300-500 ms One of the following shown for a specific amount of time: 1. Visual (word) or 2. Auditory or 3. Picture User is asked to respond to a visual or auditory question about the prime and/or target, usually one of the following: 1. Naming (saying the target) or 2. Lexical decision (Was the target a word?) or 3. Relatedness judgment (Was target related to prime?) User’s response, accuracy and Reaction Time (RT) are recorded. Question is on screen until user responds. Example + 300-500 ms CAT 100-1000ms 0-500 ms DOG Stays on screen until response or some deadline (e.g., 5s) pronouncing the target Fixation Point Word(s), Sound(s) or Picture(s) Response to Question Categorization Task A point on the screen for the user to initially briefly look at, e.g. + or • One of the following shown for a specific amount of time: 1. Visual (word(s)) or 2. Sound(s) or 3. Picture(s) ● User is asked to respond to a visual or auditory question, requiring the user to categorize the previous word, sound, or picture ● User’s response, accuracy and Reaction Time (RT) are recorded. ● The question is on screen until user responds Example 1 • CHAIR 100ms The previous word is a type of: FURNITURE FRUIT VEHICLE UNSURE Example 2 + FURNITURE 100ms What is an example of the previous word? CHAIR ORANGE CAR UNSURE Example 3 + CHAIR SOFA CAR 100ms Which of the previous words does not belong? CHAIR SOFA CAR UNSURE Priming and Categorization Patients with dementia have been shown to exhibit impaired semantic memory, evidenced by their performance on memory tasks like the priming and categorization tasks. Undergraduate Research Assistants: Giselle Urquijo - gurqu002@ucr.edu Kimberly Miller - kmill020@ucr.edu Mabel Wong - mwong029@ucr.edu Ashima Kumar - akuma011@ucr.edu Meera Shah - mshah016@ucr.edu Graduate Research Assistant: Adrian Cunningham - acunn001@ucr.edu