Abstract
The content of engineering design documentation, beyond capturing the details of the design, communicates the shared knowledge integration of the design team. In this research, we present a method to analyze design documentation for levels of shared understanding and team cohesiveness in design teams by applying the computational tools of latent semantic analysis and natural language processing. We study the design documentation from students in a multidisciplinary, graduate-level product design and development course. The results show promise in measuring cohesiveness and shared understanding in design teams by analyzing their documentation and correlating metrics of effective communication to the likelihood of successful outcomes of the design team.
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Hill, A.W., Dong, A., Agogino, A.M. (2002). Towards Computational Tools for Supporting the Reflective Team. In: Gero, J.S. (eds) Artificial Intelligence in Design ’02. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-0795-4_15
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DOI: https://doi.org/10.1007/978-94-017-0795-4_15
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