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LabanLens™ is a dance scoring application developed for the Microsoft HoloLens that engages Laban-based movement notation and analysis.

Our augmented reality (AR) teaching tool called LabanLens™ engages innovative digital practices responding to diverse intelligences and abilities to immerse students in a digital-kinesthetic experience with dance analysis. LabanLens™ introduces a modality to re-envision how we teach and employ Laban-based scoring tools, and an immersive environment for composing dances, analyzing them, and understanding historical embodiments. The AR experience engenders studentsʼ articulate analysis of dances, which deepens their kinesthetic-empathetic engagement with each other and their world. LabanLens™ expands existing dance scoring methodsʼ capacities to advance knowledge for accessing and analyzing new and existing dances.

LabanLens™ is generously supported by The Ohio State University Department of Dance and The College of Arts and Sciences Technology Services unit. LabanLens™ is developed by Immersive.is.

LabanLens™ Research Team

  • Dr. Hannah Kosstrin, Faculty Lead, Associate Professor
  • Chris Summers, Staff Lead, Instructional Technologist
  • Mike Kaylor, Director of Academic Technology
  • Ian Anderson, Academic Technology Consultant

LabanLens™ Conference Presentations

  • 2018 Innovate: Forward, The Ohio State University
  • 2018 National Dance Education Organization Annual Conference, La Jolla, California
  • 2019 International Conference on Movement and Computing, Arizona State University, Tempe, Arizona

Press for LabanLens™