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Universal access: user needs for immersive captioning.

Chris J Hughes1

  • 1School of Computer Science, University of Salford, Manchester, UK.

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|July 26, 2021
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Summary
This summary is machine-generated.

This study developed a user-centric prototyping framework for immersive captioning, focusing on usability and user needs to optimize viewing experiences. The framework enables rapid testing and development of new captioning functionalities for immersive environments.

Keywords:
AccessibilityCaptionsImmersive videoTestingUser-centric requirementsVR

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Area of Science:

  • Human-Computer Interaction
  • Accessibility Research
  • Virtual and Augmented Reality

Background:

  • Existing research highlights a need for improved captioning in immersive environments.
  • User requirements for immersive captioning are not fully understood, presenting research opportunities.
  • A user-centric approach is crucial for developing effective immersive captioning solutions.

Purpose of the Study:

  • To develop a prototyping framework for immersive captioning based on a user-centric methodology.
  • To identify optimal methods for displaying captions in immersive environments for enhanced user experience.
  • To create a testbed for evaluating new immersive captioning features and user interaction methods.

Main Methods:

  • A bottom-up, user-centric design approach was employed.
  • A two-stage framework development process was implemented, incorporating lessons learned from initial findings.
  • The framework integrates existing contrast-and-compare functionalities for rapid prototyping and user testing.

Main Results:

  • The development resulted in a functional prototyping framework for immersive captioning.
  • The framework facilitated the identification of new caption modes and functionalities.
  • The research demonstrated the value of iterative prototyping for eliciting user requirements and creative solutions.

Conclusions:

  • A user-centric prototyping framework is effective for advancing immersive captioning technology.
  • The developed framework serves as a comprehensive testbed for evaluating captioning across various devices.
  • Future work can integrate advanced tools like eye-tracking for further research into optimal immersive captioning display.