IRB Proposal Materials
IRB PROPOSAL v2
IRB Application: Neural Signatures of Truth Detection Study
1. Project Overview
1.1 Purpose
This study investigates the neural mechanisms underlying information processing during human-AI interactions, with particular focus on truth detection and cognitive load.
1.2 Specific Aims
1. Identify neural markers of information verification
2. Characterize cognitive load patterns
3. Develop predictive models of successful detection
2. Risk Assessment
2.1 Potential Risks
- Minimal physical risks from EEG recording
- Potential mild discomfort from extended sitting
- Minimal psychological stress from decision-making tasks
- Minimal risk of data breach
2.2 Risk Mitigation
- Regular breaks during recording
- Careful EEG cap fitting procedures
- Clear participant instructions
- Robust data security protocols
3.1 Consent Process
1. Initial email with study information
2. In-person consent discussion
3. Written consent documentation
4. Opportunity for questions
3.2 Consent Documentation
[Detailed consent form attached]
4. Data Protection
4.1 Privacy Measures
- Coded participant identifiers- Secure data storage
- Limited access protocols
- Encryption standards
4.2 Data Management
- Storage location: [Secure Server Details]
- Access controls: [Protocol Details]
- Retention period: 7 years
- Destruction protocol: [Details]
5. Participant Selection
5.1 Inclusion Criteria
- Ages 18-65
- Neurologically healthy
- Native language speakers
- Normal/corrected vision
5.2 Exclusion Criteria
Neurological conditions
Recent head injury
Psychoactive medications
Uncorrected vision problems
6. Research Protocol
[ RESEARCH PROPOSAL ]
7. Benefits Assessment
7.1 Direct Benefits
- Participant compensation
- Educational experience
- Research participation experience
7.2 Societal Benefits
- Advanced understanding of information processing
- Improved AI interfaces
- Enhanced digital literacy training
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