Project 3 Example: Human-AI Collaboration Tester (HAICT) Exp. 7
2 other identifiers
interventional
12
1 country
1
Brief Summary
The study is one part of a "bundle" of experiments that constitute Project Three of a National Eye Institute grant. Project Three includes a series of experiments that investigate how changing the input from a simulated AI can affect the decisions made by human observers in a two-alternative forced choice task (like the decision to recall a woman for further examination in mammography). HAICT 7, the experiment described here, investigates how changing prevalence affects human performance when AI is used as a Second Reader.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for not_applicable
Started Jan 2020
Longer than P75 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
January 1, 2020
CompletedFirst Submitted
Initial submission to the registry
February 18, 2022
CompletedFirst Posted
Study publicly available on registry
March 9, 2022
CompletedPrimary Completion
Last participant's last visit for primary outcome
August 1, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
November 4, 2025
CompletedResults Posted
Study results publicly available
January 20, 2026
CompletedJanuary 20, 2026
December 1, 2025
4.6 years
February 18, 2022
December 4, 2025
December 29, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
D'
D' (d-prime) is the signal detection theory measure of the level of performance on a task. It is computed by calculating the proportion of true positive responses =(true positive trials)/(true positive + false negative trials) = p(TP) and by calculating the proportion of false positive responses =(false positive trials)/(false positive + true negative trials) = p(FP). These values are transformed into 'z-scores' (for example, using NORMSINV in Excel to calculate the inverse of the standard normal distribution). D' is defined as Z(TP)-Z(FP). Its range is from 0 for cases where no signal can be discriminated from the noise, to \~4.0. The upper limit is not defined, but 4 would mean that and observer is essentially perfect at discriminating signal from noise.
Data are collected within a session of about an hour.
Criterion
Criterion, like D' (see above) is calculated from z(TP) and z(FP). Criterion ( c ) = (z(TP)+z(FP))/-2. A value of zero means that the observer is equally likely to make a positive (e.g. 'target present') response as a negative (absent) response. Positive values mean that the observer is more likely to say "absent" (a "conservative" criterion). Negative values mean the observer is more likely to say "present" (a "liberal" criterion). Liberal and conservative have no political connotations in this case. Criterion values almost always fall between -2 and 2.
Data are collected within a session of about an hour.
Secondary Outcomes (1)
Reaction Time
Data are collected within a session of about an hour.
Study Arms (1)
Experiment
EXPERIMENTALAll participants are tested in all conditions of this experiment.
Interventions
In this experiment, in some conditions, the participant makes their decision in the presence of information about a simulated artificial intelligence decision.
The frequency with which targets are presented varies from 10% to 90%
Eligibility Criteria
You may qualify if:
- \- All welcome to enroll on line
You may not qualify if:
- Must pass the Ishihara color vision screening test
- /25 vision (with correction)
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Brigham and Women's Hospitallead
- National Cancer Institute (NCI)collaborator
Study Sites (1)
Visual Attention Lab / Brigham and Women's Hospital
Boston, Massachusetts, 02215, United States
Results Point of Contact
- Title
- Jeremy M Wolfe, Professor and Principle Investigator
- Organization
- Brigham & Women's Hospital
Study Officials
- PRINCIPAL INVESTIGATOR
Jeremy M Wolfe, PhD
Brigham and Women's Hospital
Publication Agreements
- PI is Sponsor Employee
- Yes
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Masking Details
- Participants are naive to the purposes of the study but they are not blinded to the conditions.
- Purpose
- BASIC SCIENCE
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor
Study Record Dates
First Submitted
February 18, 2022
First Posted
March 9, 2022
Study Start
January 1, 2020
Primary Completion
August 1, 2024
Study Completion
November 4, 2025
Last Updated
January 20, 2026
Results First Posted
January 20, 2026
Record last verified: 2025-12
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP, ICF
- Time Frame
- Materials will be available when requested
- Access Criteria
- essentially unrestricted
De-identified raw data will be posted on the experiment's OSF page and will also be available on request to the PI.