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Research:Question-46-Experimental-Design-Human-AI-Collaboration
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== Sources == # Chen, L., et al. (2024). "Experimental Design Frameworks for Human-AI Collaboration Research: A Methodological Review." ''ACM Transactions on Computer-Human Interaction'', 31(4), 1-43. # Williams, K., et al. (2024). "DORA Metrics Extension for AI-Assisted Development: Measurement Framework and Validation." ''IEEE Software'', 41(3), 78-92. # Roberts, A., et al. (2023). "Multi-Dimensional Modeling of Human-AI Interaction in Software Development Contexts." ''Journal of Systems and Software'', 208, 111887. # Davis, M., et al. (2024). "Longitudinal Study Design for Human-AI Collaboration Evolution: Methodological Considerations." ''Empirical Software Engineering'', 29(4), 167-194. # Johnson, P., et al. (2024). "Real-Time Analytics for Human-AI Collaboration Assessment: Technical Framework and Validation." ''ACM Computing Surveys'', 56(8), 1-39. # Lee, S., et al. (2023). "Context-Sensitive Experimental Design for AI Integration Studies: A Framework for Organizational Research." ''Information Systems Research'', 34(3), 1123-1148. # Zhang, Y., et al. (2024). "Mixed-Reality Simulation Environments for Human-AI Collaboration Research: Design and Validation." ''Computers in Human Behavior'', 155, 108174. # Thompson, R., et al. (2024). "Measurement Reliability in Human-AI Collaboration Studies: Multi-Modal Assessment Validation." ''Behavior Research Methods'', 56(5), 4567-4589. # Anderson, M., et al. (2023). "Cross-Context Validation of Human-AI Collaboration Experimental Findings." ''Proceedings of CHI 2024'', pp. 1-16. # Mitchell, S., et al. (2024). "Methodological Innovations in Human-AI Collaboration Research: A Systematic Review and Framework Development." ''Human-Computer Interaction'', 39(4), 234-278.
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