Human centered approach evaluating mobile sign language video communication
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#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

#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)


Mobile video communication
Mobile Video Communication

  • Popular method of communication, especially among deaf and hard-of-hearing people


Cellular network limitations
Cellular Network Limitations

  • Total network bandwidth is limited

    • Leading to packet loss, delayed, and blurred video


Equal access to mobile video communication
Equal Access to Mobile Video Communication

  • People should not pay more for mobile video services because they are deaf


Research objectives
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


Evaluating video intelligibility
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


Research goals
Research Goals

  • Create a model to evaluate video intelligibility



Research goals1
Research Goals

  • Create a model to evaluate video intelligibility

  • Use this model to evaluate video quality intelligibility tradeoffs


Research question
Research Question

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


Web study
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



Study design continued
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



Selected results
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)


Limitations
Limitations

  • Pre-recorded videos used

    • Slow signing speed

  • Frame rate and bitrate settings assigned to specific videos


Future work
Future Work

  • Laboratory Study

    • Goal: Objectively measure comprehension and tolerance of video quality


Other applications
Other Applications

  • Network Service Providers

  • Other streaming video media (YouTube, Hulu, etc.)

  • Access to mobile video communication across developing networks


Thank you
Thank You!

@JessicaJTran

Email: [email protected]

Website: bit.ly/jjtran


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