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Research:Question-46-Experimental-Design-Human-AI-Collaboration
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=== Multi-Dimensional Interaction Modeling === The research develops comprehensive approaches for modeling the complexity of human-AI interactions: '''Interaction Layer Analysis:''' Identification of multiple interaction layers that must be captured simultaneously: * '''Task-Level Interactions:''' Direct human-AI collaboration on specific development tasks * '''Workflow-Level Integration:''' How AI tools integrate into broader development workflows and processes * '''Team-Level Dynamics:''' How AI presence affects team communication, coordination, and decision-making patterns * '''Organizational-Level Adaptation:''' How human-AI collaboration influences organizational practices and culture '''Temporal Dimension Modeling:''' Framework for capturing collaboration evolution across different time scales: * '''Micro-Interactions (seconds to minutes):''' Real-time human-AI interaction patterns during specific tasks * '''Session-Level Patterns (hours):''' Collaboration patterns within individual development sessions * '''Project-Level Evolution (weeks to months):''' How collaboration approaches evolve throughout project lifecycles * '''Organizational Adaptation (months to years):''' Long-term organizational learning and practice development '''Context Sensitivity Framework:''' Systematic approach to modeling how contextual factors influence collaboration patterns: * '''Project Characteristics:''' Size, complexity, domain, timeline pressures, and technological requirements * '''Team Composition:''' Skill levels, experience, cultural factors, and collaborative history * '''Organizational Environment:''' Culture, management practices, resource availability, and strategic priorities * '''Technological Ecosystem:''' AI tool capabilities, integration quality, and infrastructure characteristics
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