An Active Analysis and Crowd Sourced Approach to Social Training

  • Dan Feng
  • Elin Carstensdottir
  • Sharon Marie Carnicke
  • Magy Seif El-Nasr
  • Stacy Marsella
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10045)


Interactive narrative (IN) has increasingly been used for social skill training. However, extensive content creation is needed to provide learners with flexibility to replay scenarios with sufficient variety to achieve proficiency. Such flexibility requires considerable content creation appropriate for social skills training. The goal of our work is to address these issues through developing a generative narrative approach that re-conceptualizes social training IN as an improvisation using Stanislavsky’s Active Analysis (AA), and utilizes AA to create a crowd sourcing content creation method. AA is a director guided rehearsal technique that promotes Theory of Mind skills critical to social interaction and decomposes a script into key events. In this paper, we discuss AA and the iterative crowd sourcing approach we developed to generate rich, coherent content that can be used to develop a generative model for interactive narrative.


Intelligent narrative technologies Active analysis Theory of mind Crowd sourcing Social skills training 



Funding for this research was provided by the National Science Foundation Cyber-Human Systems under Grant No. 1526275.


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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Dan Feng
    • 1
  • Elin Carstensdottir
    • 1
  • Sharon Marie Carnicke
    • 2
  • Magy Seif El-Nasr
    • 1
  • Stacy Marsella
    • 1
  1. 1.Northeastern UniversityBostonUSA
  2. 2.University of Southern CaliforniaLos AngelesUSA

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