Clinical Trial Details
— Status: Completed
Administrative data
NCT number |
NCT06355999 |
Other study ID # |
2007p000646-F |
Secondary ID |
|
Status |
Completed |
Phase |
N/A
|
First received |
|
Last updated |
|
Start date |
May 1, 2021 |
Est. completion date |
June 1, 2021 |
Study information
Verified date |
April 2024 |
Source |
Brigham and Women's Hospital |
Contact |
n/a |
Is FDA regulated |
No |
Health authority |
|
Study type |
Interventional
|
Clinical Trial Summary
Suppose that observers are trying to classify a spot on the skin as normal or abnormal and
suppose that the two attributes that are important are the color and shape of the spot. The
investigators have found that perceptual decisions of this short are shaped by the prevalence
of the target abnormality and by the feedback that observers (Os) receive. If abnormal spots
are rare (low prevalence), Os will tend to become more conservative about calling spots
abnormal. In this experiment, Os see items defined by color and shape. They are looking for
one combination (bumpy green). Bumpy green targets can be common (50% prevalence) or rare
(10%). Os in one group will get feedback about their responses based on color. The other
group will receive feedback based on shape. The investigators will look for effects of
prevalence and of the type of feedback. The goal is to better understand perceptual decisions
in settings like clinical evaluation of skin lesions.
Description:
Suppose that observers are trying to classify a spot on the skin as normal or abnormal and
suppose that the two attributes that are important are the color and shape of the spot. The
investigators have found that perceptual decisions of this short are shaped by the prevalence
of the target abnormality and by the feedback that observers (Os) receive. If abnormal spots
are rare (low prevalence), Os will tend to become more conservative about calling spots
abnormal.
In this experiment, Os see items defined by color and shape. Items vary in dominant color
from purple to green. Items vary in shape from relatively smooth irregular blobs (nicknamed
"Bouba") to relatively bumpy blobs (nicknamed "Kiki"). Os are asked to find "Green Kikis".
Since color and shape vary continuously, the border between Green Kiki and not Green Kiki
will not be clear to the Os. Os will be asked to label each item as Green Kiki or not. Saying
"maybe" is not an option.
The between-subject variable is the type of feedback Os receive. One set of Os will get
feedback about color. That is, if the observer says "yes, this is a green kiki", they will be
told only "Yes, this was a green item" or "no this was not green". The other group will get
shape feedback: e.g. "Yes, this was a Kiki.".
The within-subjects variable is the target prevalence. The investigators can divide the
stimuli into four quadrants: Green Kiki targets, and Green Bouba, Purple Bouba, and Purple
Kiki distractors. In the high prevalence trials, 50% of the stimuli will be drawn from target
quadrant (green kiki) and 17% from each of the remaining three quadrants. In the low
prevalence trials, 10% of the stimuli will be drawn from the target quadrant while 30% will
be drawn from each of the other three quadrants. The whole space of stimuli has 10 shape
values and 10 color values for a total of 100 possible types of stimulus.
The key dependent is the proportion of target-present responses for each type of stimulus.
To analyze the data, the investigators will create a heatmap showing the percentage of times
Os judge each of the 100 categories (10 colors X 10 shapes) as the target, separately for the
high prevalence and low prevalence block. The investigators will calculate the response
difference between the two blocks within subjects and will calculate the difference between
shape and color feedback between observers.
Observers with an average accuracy below 70% will be excluded. Prior experiments have a
conservative effect size of ~0.8 for differences between high and low prevalence. Some
effects in experiments proposed here may have more subtle effects so power will be calculated
based on an effect size of 0.6. To detect such a difference between, for instance, the 50%
points on two functions like those in the data figures above, requires 26 observers to
achieve alpha of 0.05 and power of 0.9. The investigators will aim for 26 observers in each
condition.