Exios66 / Literary-Vault

Active Catalog of the Documentation, Backend, and Infrastructure for Neuroscience Research Expansion. || [https://exios66.github.io/Literary-Vault/]
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Add Proposal v6 & v6.1 into /docs/Proposal Subdirectory #33

Closed Exios66 closed 22 hours ago

Exios66 commented 1 day ago

https://github.com/Exios66/Literary-Vault/issues/14#issue-2619766022

IMPORT PROPOSAL v6 & v6.1 From Markdown into Proposal Subdirectory

@Exios66

Exios66 commented 1 day ago

Proposal 6.1


Proposal

[[Hypothesis’s v6]] [[Abstract Proposal v6]] [[Literature Review v6]]

Background

The proliferation of AI-mediated information exchange has created unprecedented challenges in human cognition and information processing. While behavioral studies have examined human responses to AI-generated content, the underlying neural mechanisms remain poorly understood. Recent advances in neuroimaging and physiological measurement technologies now enable unprecedented insight into these processes.

Methodology

This multi-phase study employs high-density EEG (128 channels), precision eye-tracking (1000Hz), galvanic skin response, and heart rate variability measurements in a controlled experiment involving n=[TBD] participants. Subjects interact with AI systems presenting varying levels of information accuracy across five knowledge domains while undergoing continuous physiological monitoring. Novel multi-modal analysis techniques will be employed to integrate these data streams.

Anticipated Results

Expected outcomes include identification of specific neural signatures associated with successful information verification, characterization of cognitive load patterns during human-AI interaction, and development of predictive models for successful misinformation detection. These findings will inform both theoretical understanding and practical applications.

Significance

This research addresses a critical gap in neuroscientific understanding of human-AI interaction while providing practical applications for interface design and digital literacy training. Results will impact fields ranging from educational technology to cybersecurity.

Expanded Theoretical Framework

1. Integrated Theoretical Model

1.1 Predictive Processing Framework

1.2 Information Integration Theory

1.3 Global Workspace Theory

2. Novel Theoretical Contributions

2.1 Unified Processing Model

2.2 Extended Applications

Experimental Design Enhancements

1. Stimulus Development

1.1 Content Categories

1.2 Verification Difficulty Levels

1.3 Presentation Formats

2. Response Measurement

2.1 Behavioral Metrics

2.2 Physiological Measures

Data Integration and Analysis

1. Multi-modal Fusion

1.1 Temporal Alignment

1.2 Feature Extraction

2. Machine Learning Implementation

2.1 Model Architecture

2.2 Training Strategy

Innovation and Impact

1. Technological Advances

1.1 Measurement Tools

1.2 Analysis Methods

2. Practical Applications

2.1 Interface Design

2.2 Training Programs

Exios66 commented 22 hours ago

Added in Documentation