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Human-Centered Approach Evaluating Mobile Sign Language Video Communication

#GHC13. Human-Centered Approach Evaluating Mobile Sign Language Video Communication. @ JessicaJTran Ph.D. Candidate Electrical Engineering University of Washington, Seattle October 3, 2013. 2013. Advisors:

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Human-Centered Approach Evaluating Mobile Sign Language Video Communication

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  1. #GHC13 Human-Centered Approach Evaluating Mobile Sign Language Video Communication @JessicaJTran Ph.D. Candidate Electrical Engineering University of Washington, Seattle October 3, 2013 2013 Advisors: Eve A. Riskin (EE) | Richard E. Ladner (CSE) | Jacob O. Wobbrock (iSchool)

  2. Mobile Video Communication • Popular method of communication, especially among deaf and hard-of-hearing people

  3. Cellular Network Limitations • Total network bandwidth is limited • Leading to packet loss, delayed, and blurred video

  4. Equal Access to Mobile Video Communication • People should not pay more for mobile video services because they are deaf

  5. Research Objectives • Make mobile sign language video more accessible and affordable • Reduce total network bandwidth consumption by lowering the frame rate and bitrate video is transmitted • Maintain intelligibility

  6. Evaluating Video Intelligibility • Objective Measures • Peak Signal-to-Noise Ratio (PSNR) • Measures quality of image reconstruction after lossycompression • Subjective Measures • Lack of a universal model to evaluate video intelligibility

  7. Research Goals • Create a model to evaluate video intelligibility

  8. Human Signal Intelligibility Model

  9. Research Goals • Create a model to evaluate video intelligibility • Use this model to evaluate video quality intelligibility tradeoffs

  10. Research Question • How much can sign language video transmission rates be reduced before intelligibility is sacrificed?

  11. Web study • Investigating the extremely lower limits at which ASL video is transmitted • Frame rates:1, 5, 10, 15 fps • Bitrates: 15, 30, 60, 120 kbps

  12. Study Design

  13. Study Design (continued) Video 1 of 16 Q1) How easy was the video to understand? Very Easy Easy Somewhat easy Neutral Somewhat difficult Difficult Very Difficult

  14. Study Design (continued)

  15. Selected Results strongly agree 10 fps 120 kbps 15 fps 60 kbps 5 fps neutral 30 kbps mean Likert score 15 kbps 1 fps strongly disagree frame rate (fps) bitrate (kbps)

  16. Limitations • Pre-recorded videos used • Slow signing speed • Frame rate and bitrate settings assigned to specific videos

  17. Future Work • Laboratory Study • Goal: Objectively measure comprehension and tolerance of video quality

  18. Other Applications • Network Service Providers • Other streaming video media (YouTube, Hulu, etc.) • Access to mobile video communication across developing networks

  19. Thank You! @JessicaJTran Email: jjtran@uw.edu Website: bit.ly/jjtran

  20. Have Feedback? Rate and Review the session using the GHC Mobile App To download visit www.gracehopper.org

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