17816228. USER ATTENTION DETERMINATION FOR EXTENDED REALITY simplified abstract (QUALCOMM Incorporated)

USER ATTENTION DETERMINATION FOR EXTENDED REALITY

Organization Name

QUALCOMM Incorporated

Inventor(s)

Danlu Zhang of San Diego CA (US)

Paul Holdaway of Carlsbad CA (US)

Jiaying Pan of San Diego CA (US)

Ajinkya Shyam Ambre of San Diego CA (US)

Vinayak Muralidharan of San Diego CA (US)

Martin Renschler of San Diego CA (US)

Michael Mager of San Diego CA (US)

Brian Momeyer of Escondido CA (US)

Rashmi Kulkarni of Redwood City CA (US)

Damir Didjusto of San Diego CA (US)

USER ATTENTION DETERMINATION FOR EXTENDED REALITY - A simplified explanation of the abstract

This abstract first appeared for US patent application 17816228 titled 'USER ATTENTION DETERMINATION FOR EXTENDED REALITY

Simplified Explanation

The abstract describes techniques and systems for evaluating attention using an extended reality system. Here are the bullet points explaining the patent/innovation:

• The system identifies regions of interest (ROI) in an image displayed to a user.
• Eye tracking information is received to determine the area of the image the user is looking at.
• Focus statistics are generated based on the user's gaze and the ROI.
• The generated focus statistics are outputted by the system.

Potential applications of this technology:

• Virtual reality and augmented reality systems can use this technology to evaluate user attention and optimize user experiences.
• Advertising and marketing industries can utilize this technology to understand which parts of an image or advertisement capture the most attention.
• Educational platforms can use this technology to analyze student engagement and focus during virtual lessons.

Problems solved by this technology:

• This technology solves the problem of accurately evaluating user attention in extended reality systems.
• It addresses the challenge of understanding which areas of an image or virtual environment are most engaging to users.

Benefits of this technology:

• Improved user experiences in virtual reality and augmented reality by optimizing content based on user attention.
• Enhanced advertising and marketing strategies by identifying attention-grabbing elements in images or advertisements.
• Better understanding of user engagement and focus in educational settings, leading to improved learning experiences.

Original Abstract Submitted

Techniques and systems are provided for attention evaluation by an extended reality system. In some examples, the system determines one or more regions of interest (ROI) for an image displayed to a user. The system may also receive eye tracking information indicating an area of the image that the user is looking at. The system may further generate focus statistics based on the area of the image at which the user is looking at and the one or more ROI; and output the generated focus statistics.