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Assessing web 2D user interface experiences in mixed reality.

Yongkang Xing1,2, Conor Fahy2, Jethro Shell2

  • 1Guangdong University of Finance, Center of Experimental Teaching, Guangzhou, 510521, China.

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|June 17, 2024
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Summary
This summary is machine-generated.

Mixed Reality (MR) platforms offer new interaction possibilities, but 2D user interfaces (UIs) in 3D spaces show poorer learning performance. Optimized 3D UIs are needed to improve the MR user experience.

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Area of Science:

  • Human-Computer Interaction
  • Mixed Reality Technologies
  • User Interface Design

Background:

  • Mixed Reality (MR) holds transformative potential across medicine, education, and communication.
  • Current research lacks comprehensive analysis of 2D user interfaces (UIs) within 3D MR environments.
  • Significant gaps exist in understanding the transition from 2D to 3D UIs for MR platforms.

Purpose of the Study:

  • To experimentally evaluate the user experience of 2D UIs on MR platforms.
  • To identify specific challenges and limitations of current 2D UI implementation in MR.
  • To provide data-driven recommendations for enhancing MR UI design.

Main Methods:

  • An experiment involving 80 participants was conducted to assess 2D UI performance on MR platforms.
  • User experience was measured by comparing learning performance against traditional desktop devices.
  • Qualitative data was gathered through one-to-one interviews to understand user-reported issues.

Main Results:

  • Website user experience on MR platforms resulted in significantly poorer learning performance compared to desktop devices.
  • Participants reported hardware limitations, including field of view and color definition, impacting usability.
  • Issues were also identified with the 2D UI elements themselves within the 3D MR space.

Conclusions:

  • Transitioning 2D UIs to MR platforms currently hinders learning performance.
  • Hardware constraints and UI design are critical factors affecting the MR user experience.
  • Development of generalized and optimized 3D UIs is crucial for reducing control difficulties and enhancing MR learning environments.