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ANALYZE COLLABORATIVE WORKING EXPERIENCE AND DATA VISUALIZATION CAPACITY IN DIFFERENT VR PRODUCTS

Yifei Wang

To explore and evaluate the collaborative working experience and data visualization capabilities of various VR products, including Sinespace, Prospect, Spatial, Meta Horizon, and FrameVR, comparing their effectiveness in supporting teamwork, communication, and visualization of complex data.

Wiki results:�- Intro to the general VR workspace field.

- Intro to each product that I work on

- A page about the final research result

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Milestones

  • 4/04 - Mapping the key features and functionalities of the selected VR products, focusing on their collaborative working experience and data visualization capacity.
  • 4/06 - Research and identify relevant use cases, testimonials, or research papers highlighting the collaborative and visualization aspects of the chosen VR products.
  • 4/11 - Converge to 3 VR products for in-depth analysis. Assess the potential of these products in supporting teamwork, communication, and complex data visualization in various industries.
  • 4/13 - Finish developing the evaluation rubric, considering factors such as ease of collaboration, visualization capabilities, interaction design, and overall user experience.
  • 4/18 - Conduct initial evaluations of the chosen VR products based on the developed rubric, focusing on collaborative and data visualization aspects.
  • 4/20 - Refine the evaluation rubric based on feedback from initial evaluations.
  • 4/25 - Conduct a second round of evaluations of the chosen VR products based on the refined rubric.
  • 4/27 - Complete the evaluation of VR products based on personal experiences, classmates' feedback, and online user reviews to generate a comprehensive comparison.
  • 5/02 - Create a draft of the final deliverable, highlighting the collaborative working experience and data visualization capabilities of the selected VR products, their strengths and weaknesses, and offering recommendations for potential users.
  • 5/04 - Revise and finalize the deliverable based on feedback from peers and instructors, and submit it for evaluation.