Large-Scale Online Studies of Motor Responses and Cognition
| Status: | Not yet recruiting |
|---|---|
| Conditions: | Healthy Studies |
| Therapuetic Areas: | Other |
| Healthy: | No |
| Age Range: | 18 - Any |
| Updated: | 4/6/2019 |
| Start Date: | April 10, 2019 |
| End Date: | January 30, 2030 |
| Contact: | Margaret K Hayward, C.R.N.P. |
| Email: | mimi.hayward@nih.gov |
| Phone: | (301) 451-1335 |
Background:
Our goal is to gain insight into motor and cognitive factors relevant to human sensorimotor
function and learning by carrying out online substudies using online crowd-sourcing tools.
Objective:
To learn more about cognition and motor behavior in a large group of people using cognitive
tasks, motor tasks, and questions.
Eligibility:
Adults ages 18 and older based in the U.S. who speak English
Design:
Participants will be recruited from a crowd-sourcing website like Amazon Mechanical Turk.
Participants will do online tasks. They can use their own computers anywhere with Internet
access. They will not need to directly interact with researchers.
Participants will be asked for general data, like their age and gender. No personally
identifiable data will be collected.
Participants will see a list of tasks on their computer screen. They will be able to choose
tasks they wish to do. They will get a description of the experiment, how long it takes, and
how much compensation they will get.
Participants will complete on their screen a motor behavioral task, a cognitive task, and/or
a questionnaire. For example, they may be asked to press sequences of numbers on the keyboard
or move the mouse when a stimulus appears on the screen. Experiments may last up to 1 hour.
Participants can complete as many experiments as they wish. They can quit at any point.
Our goal is to gain insight into motor and cognitive factors relevant to human sensorimotor
function and learning by carrying out online substudies using online crowd-sourcing tools.
Objective:
To learn more about cognition and motor behavior in a large group of people using cognitive
tasks, motor tasks, and questions.
Eligibility:
Adults ages 18 and older based in the U.S. who speak English
Design:
Participants will be recruited from a crowd-sourcing website like Amazon Mechanical Turk.
Participants will do online tasks. They can use their own computers anywhere with Internet
access. They will not need to directly interact with researchers.
Participants will be asked for general data, like their age and gender. No personally
identifiable data will be collected.
Participants will see a list of tasks on their computer screen. They will be able to choose
tasks they wish to do. They will get a description of the experiment, how long it takes, and
how much compensation they will get.
Participants will complete on their screen a motor behavioral task, a cognitive task, and/or
a questionnaire. For example, they may be asked to press sequences of numbers on the keyboard
or move the mouse when a stimulus appears on the screen. Experiments may last up to 1 hour.
Participants can complete as many experiments as they wish. They can quit at any point.
Objective:
Our goal is to gain insight into motor and cognitive factors relevant to human sensorimotor
function and learning by carrying out online substudies using online crowd-sourcing tools.
Pilot substudies will inform on effect sizes, identify candidate factors, be
hypothesis-generating, and allow proper power evaluations for subsequent hypothesis-driven
investigations. Other substudies will be designed to evaluate the reproducibility of
scientific findings in our lab and the literature more efficiently and better powered than
possible before the advent of these online tools. Finally, technical development substudies
will allow us to design and test new sensorimotor tasks. This online approach limits the
burden on participants (who perform tasks in the comfort of their homes instead of traveling
to NIH) and substantially reduces burden on in-house human, financial and technical
resources. Results from this protocol will contribute to a better understanding of factors
relevant to human sensorimotor function and learning, with important implications for the
design of better motor learning and neurorehabilitative strategies after brain lesions.
Study Population:
U.S.-based English speakers aged 18 and above will be recruited under this minimal risk
protocol. Participants may complete these online tasks in the comfort of their own homes
using the internet, and will not need to directly interact with the investigators. We will
not collect personally identifiable information about the participants; all participants will
be given an anonymized random ID by the on-line site.
Design:
Under this protocol, we will conduct substudies using Amazon Mechanical Turk (AMT).
Substudies will consists of brief tasks and/or questionnaires (ranging from 1 minute - 1
hour) investigating a range of motor and cognitive factors. For example, subjects may be
asked to press sequences of numbers on the keyboard, move the mouse when a stimulus appears
on the screen, etc. Examples of substudies are reported in Appendix B. The substudies will be
reported to the IRB as per applicable regulations. There will be different types of
substudies:
Pilot substudies: These substudies will collect data on up to 50 subjects/group. This small
sample could suffice to identify a factor (i.e., role of rest periods during motor learning)
or not. If not, data will be used to generate and power prospective hypotheses (see below).
The pilot may also be closed, for example if there is a clear indication that the task of
interest did not work/require further technical development, or new information appeared in
the literature taking away interest from the study.
Hypothesis-testing substudies: In these substudies, we will test specific hypotheses, often
emerging from previous pilots (see above). Data acquisition (up to 1,000 subjects/group) is
expected to be completed within weeks. Data from these hypothesis-testing substudies will not
be mixed with data from the initial pilots on the basis of which they were powered.
Technical development substudies: These substudies will allows us to develop and refine new
tasks.
Reproducibility substudies: In these substudies, we may test reproducibility of findings by
acquiring data in parallel groups performing the same task. Alternatively, we may test
reproducibility of previous findings, addressing questions such as: (a) Is the previous
finding that "improvements in motor skill learning occur mainly during short periods of rest"
drawn from data in 27 subjects replicable in a larger population? or (b) Is the previous
finding that "95% of online learning occurs within 11 trials of a sequential fingertapping
task" reproducible in a larger population?
Outcome Measures:
Outcome measures will be performance on motor and cognitive tasks (e.g., accuracy and
reaction times) as well as answers to any questionnaires.
Our goal is to gain insight into motor and cognitive factors relevant to human sensorimotor
function and learning by carrying out online substudies using online crowd-sourcing tools.
Pilot substudies will inform on effect sizes, identify candidate factors, be
hypothesis-generating, and allow proper power evaluations for subsequent hypothesis-driven
investigations. Other substudies will be designed to evaluate the reproducibility of
scientific findings in our lab and the literature more efficiently and better powered than
possible before the advent of these online tools. Finally, technical development substudies
will allow us to design and test new sensorimotor tasks. This online approach limits the
burden on participants (who perform tasks in the comfort of their homes instead of traveling
to NIH) and substantially reduces burden on in-house human, financial and technical
resources. Results from this protocol will contribute to a better understanding of factors
relevant to human sensorimotor function and learning, with important implications for the
design of better motor learning and neurorehabilitative strategies after brain lesions.
Study Population:
U.S.-based English speakers aged 18 and above will be recruited under this minimal risk
protocol. Participants may complete these online tasks in the comfort of their own homes
using the internet, and will not need to directly interact with the investigators. We will
not collect personally identifiable information about the participants; all participants will
be given an anonymized random ID by the on-line site.
Design:
Under this protocol, we will conduct substudies using Amazon Mechanical Turk (AMT).
Substudies will consists of brief tasks and/or questionnaires (ranging from 1 minute - 1
hour) investigating a range of motor and cognitive factors. For example, subjects may be
asked to press sequences of numbers on the keyboard, move the mouse when a stimulus appears
on the screen, etc. Examples of substudies are reported in Appendix B. The substudies will be
reported to the IRB as per applicable regulations. There will be different types of
substudies:
Pilot substudies: These substudies will collect data on up to 50 subjects/group. This small
sample could suffice to identify a factor (i.e., role of rest periods during motor learning)
or not. If not, data will be used to generate and power prospective hypotheses (see below).
The pilot may also be closed, for example if there is a clear indication that the task of
interest did not work/require further technical development, or new information appeared in
the literature taking away interest from the study.
Hypothesis-testing substudies: In these substudies, we will test specific hypotheses, often
emerging from previous pilots (see above). Data acquisition (up to 1,000 subjects/group) is
expected to be completed within weeks. Data from these hypothesis-testing substudies will not
be mixed with data from the initial pilots on the basis of which they were powered.
Technical development substudies: These substudies will allows us to develop and refine new
tasks.
Reproducibility substudies: In these substudies, we may test reproducibility of findings by
acquiring data in parallel groups performing the same task. Alternatively, we may test
reproducibility of previous findings, addressing questions such as: (a) Is the previous
finding that "improvements in motor skill learning occur mainly during short periods of rest"
drawn from data in 27 subjects replicable in a larger population? or (b) Is the previous
finding that "95% of online learning occurs within 11 trials of a sequential fingertapping
task" reproducible in a larger population?
Outcome Measures:
Outcome measures will be performance on motor and cognitive tasks (e.g., accuracy and
reaction times) as well as answers to any questionnaires.
- INCLUSION CRITERIA:
U.S.-based English Speakers greater than 18 years of age will be recruited to participate
in the study.
EXCLUSION CRITERIA:
Subjects will be excluded if they are less than 18 years of age. NIH and NINDS employees
will not be excluded from the study, since their participation will be anonymous and
unknown to the experimenters.
We found this trial at
1
site
Bethesda, Maryland 20892
Phone: 301-496-9782
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