Liberact conference 2013 Gnome Surfer & Moclo Planner
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Liberact conference 2013 Gnome Surfer & Moclo Planner Presentation Transcript

  • 1. Reality-based Interfaces for Collaborative Discovery Liberact 2013
  • 2. How reality-based interaction can enhance collaborative learning and discovery? Frameworks &Tools Interactive Systems Evaluation Liberact 2013
  • 3. Renaissance Team as Methodology
  • 4. Outline G-nome Surfer Collaborative Exploration of Genomic Data MoClo Planner A Collaborative Tool for Designing and specifying biological constructs Liberact 2013
  • 5. ATabletop Interface for Collaborative Exploration of Genomics Liberact 2013
  • 6. Preliminary User Studies Position # PIs 9 Postdocs 6 Industry Researchers 2 Student Researchers 12 Research Assistant 2 Master Student 1 Total 32 Goal Design requirements for synthetic biologists Interview Procedure 1 hour interviews in laboratories Interview Questions  Procedure walk-through  Research goals  Work practices  Computational tools  Future of the field Data Collection  Video  Voice recordings  Screenshots  Observations Qualitative Methods • Affinity diagrams • Iterative coding Institutions • Boston University • Harvard Medical School • MIT • WellesleyCollege • Wyss Institute
  • 7. Heterogeneous Data
  • 8. 8 Design Goals
  • 9. Locate Learn Retrieve Annotate Compare O. Shaer, M. Strait, C. Valdes, T. Feng, M. Lintz and H. Wang, Enhancing Genomic Learning through Tabletop Interaction, Proc. ACM CHI 2011.
  • 10. 1. Microscopic: Usability of concrete interaction techniques 2. Macroscopic: Usefulness for real-world tasks 3. Holistic: Impact on collaborative learning Evaluation Liberact 2013
  • 11. Experimental task: Identify the molecular basis of an unclassified motor mutation in mice Existing web-based bioinformatics tools G-nome Surfer with multi-mouseGUI G-nome Surfer Macroscopic Evaluation: Comparative study with 48 students Liberact 2013
  • 12. Liberact 2013 Holistic evaluation Intermediate college-level Neuroscience laboratory Synthetic biology lab at BU
  • 13. Evaluating Collaborative Problem Solving • Quantitative measures – Number and value of insights – time per activity – subjective workload – attitude – physical and verbal participation – equality of participation • Qualitative indicators – collaboration style – problem-solving strategy – nature of discussion Liberact 2013
  • 14. Findings • G-nome Surfer improves students performance, reduces workload, and increases enjoyment (compare to current state-of-the-art bioinformatics tools) • The tabletop prototype (compare to multi-mouse interface): – Increases physical participation – Encourages reflection – Fosters effective collaboration – Facilitates more intuitive interaction Liberact 2013
  • 15. MoClo Planner A collaborative tool for Modular Cloning Liberact 2013
  • 16. From Design to Synthesis
  • 17. Clones multiple DNA fragments in a single reaction Fusion sites – the cut and paste sites of Golden Gate cloning Promoters Fusion Site Compatible Fusion Sites RBS RBSPromoters Modular Cloning
  • 18. Requirements • Process visualization • Resource integration • Efficiency • Collaboration
  • 19. Level 0: Basic Modules Level 1:Transcriptional Units Level 2: Multigene Constructs
  • 20. S.Liu, K. Lu, N. Seifeselassie, C. Grote, N. Francisco, V. Lin, L. Ding, C. Valdes, R. Kincaid, O. Shaer, MoClo Planner: Supporting Innovation in Bio-Design through Multitouch Interaction , Demo abstract, ACM ITS 2012. Research Design Build Test
  • 21. Evaluation Position # PIs 1 Postdocs 1 Student Researchers 22 Total 24 Institutions • Boston University iGEM • MIT iGEM • WellesleyCollege Goal Evaluate the usability of the program Study Procedure Use PixelSense in user’s lab environment Usability Task  Select specific parts from Parts Registry  Build a Level 1 module  Build a Level 2 module  Create primers Data Collection  Video recording  Audio recording  Post-task interview  NASATLX questionnaire  Engagement questionnaire
  • 22. User Study Task
  • 23. General findings • Successful task completion • User recommended • Lowered complexity • Quick and Efficient Liberact 2013
  • 24. Going forward 1) Reality-based interaction offers unique opportunities for enhancing discovery and learning in data-intensive areas. 2) Designing interaction for problems in genomics can help move forwards the theory and practice ofTEI. 3) Future research includes: How to visualize and engage data, activity, progress spanning many systems, people, places, timescales? What representational forms, device ecologies, most appropriate for large, abstract data? Facilitating engagement with big data in ways that highlight connections between multiple forms of evidence
  • 25. Lessons learned and Going Forward RBI can facilitate immediate, visible, and easily reversible manipulations • How to designTEI for open-ended creative inquiries? Visual representations can facilitate multi-stage workflows • Important for execution and tracking of complex analyses • Need parametrized, annotatable representations of complex large datasets RBI could facilitate collaboration for co-located teams • Large interdisciplinary teams and distributed work are common in this area • Users can jointly manipulate assumptions and see consequences RBIs can support understanding and discovery • Provide access to different pieces of the problem (data, reactions) • Help users forms accurate mental models through tangible/embodied manipulation
  • 26. Acknowledgements Liberact 2013
  • 27. Orit Shaer oshaer@wellesley.edu Liberact 2013 Thank you