ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE (20240324925). APPARATUS AND METHOD FOR ANALYZING EFFICIENCY OF VIRTUAL TASK PERFORMANCE OF USER INTERACTING WITH EXTENDED REALITY simplified abstract

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APPARATUS AND METHOD FOR ANALYZING EFFICIENCY OF VIRTUAL TASK PERFORMANCE OF USER INTERACTING WITH EXTENDED REALITY

Organization Name

ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor(s)

Wook-Ho Son of Daejeon (KR)

Jeung-Chul Park of Daejeon (KR)

Beom-Ryeol Lee of Daejeon (KR)

Yong-Ho Lee of Daejeon (KR)

APPARATUS AND METHOD FOR ANALYZING EFFICIENCY OF VIRTUAL TASK PERFORMANCE OF USER INTERACTING WITH EXTENDED REALITY - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240324925 titled 'APPARATUS AND METHOD FOR ANALYZING EFFICIENCY OF VIRTUAL TASK PERFORMANCE OF USER INTERACTING WITH EXTENDED REALITY

The patent application describes an apparatus for analyzing the efficiency of virtual task performance in extended reality (XR) environments.

  • The apparatus includes memory with recorded programs and a processor for execution.
  • The program generates user interaction feature information from sensor data of a virtual reality (VR) device.
  • It calculates the quality of user experience by applying a machine-learning model to multiple experience indices based on the feature information.
  • The program evaluates the user experience by mapping the values of the experience indices to generated metrics, allowing for the analysis of the effectiveness of the VR experience.

Potential Applications: - Enhancing user experience in virtual reality applications - Improving the efficiency of virtual task performance in XR environments - Providing valuable insights for developers to optimize VR experiences

Problems Solved: - Lack of efficient tools to analyze user experience in XR environments - Difficulty in quantifying the quality of VR experiences objectively

Benefits: - Enhanced user satisfaction in virtual reality applications - Improved performance and efficiency in XR tasks - Valuable data insights for developers to enhance VR experiences

Commercial Applications: Title: "Enhancing Virtual Reality Experiences: Commercial Applications and Market Implications" This technology could be utilized in industries such as gaming, training simulations, virtual tours, and remote collaboration tools, leading to improved user engagement and satisfaction.

Prior Art: Readers can explore prior research on user experience analysis in virtual reality environments, machine learning models for performance evaluation, and sensor data processing in XR applications.

Frequently Updated Research: Stay updated on advancements in machine learning algorithms for user experience analysis, sensor technology for XR devices, and the integration of AI in virtual reality applications.

Questions about the Technology: 1. How does this technology impact the development of future XR applications? - This technology can significantly improve user experience and performance in XR environments, leading to more immersive and efficient virtual experiences. 2. What are the potential challenges in implementing this apparatus in various XR devices? - Implementing this technology across different XR devices may require customization and optimization to ensure compatibility and accuracy in performance analysis.


Original Abstract Submitted

disclosed herein is an apparatus for analyzing efficiency of virtual task performance of a user interacting with extended reality (xr). the apparatus includes memory in which at least one program is recorded and a processor for executing the program. the program may perform generating user interaction feature information from sensor information of a virtual reality (vr) device, calculating the quality of experience of a user as the values of multiple experience indices based on the feature information by applying a machine-learning model, and evaluating an experience based on a result of mapping the values of the multiple experience indices to generated metrics in order to analyze the effectiveness of the vr experience of the user.