VR Avatar Attention Detection and Management
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Solution Overview
Problem
Users of virtual reality applications face issues when switching between different virtual environments or leaving and re-entering a single environment, leading to disruptions in their experience.
Innovation Solution
The system detects a user's attention level towards another user's avatar in a virtual reality environment, allowing for actions such as alerting the user, blocking unwanted attention, or rewarding positive attention, based on predefined criteria.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system monitors and manages user attention towards avatars in virtual reality environments, then user safety and engagement are improved, but system complexity increases
Solution Approach 1:
The system pre-establishes attention level criteria and notification thresholds before users enter virtual reality environments. The server is configured with predefined rules for what constitutes excessive attention or stalking behavior, allowing the system to automatically evaluate and respond to attention patterns without requiring complex real-time decision-making algorithms.
Solution Approach 2:
A server acts as an intermediary between users and the virtual reality environment, centralizing the attention monitoring and evaluation logic. This intermediary component handles the complex tasks of tracking user behavior, comparing it against criteria, and generating notifications, thereby isolating system complexity from the client devices and improving overall reliability.
2Productivity
If the system tracks user field of view and virtual location data to detect attention levels, then user engagement is improved, but data processing requirements increase
Solution Approach 1:
The system implements selective monitoring by establishing predefined attention level criteria that determine when full tracking is necessary versus when simplified evaluation suffices. Not all user behaviors trigger comprehensive data collection - only those that meet specific attention threshold criteria require detailed field of view and location analysis, reducing overall data processing requirements while maintaining engagement through targeted monitoring.
Data Source
AI summary
The disclosed technology relates to detection of attention exhibited by a second user to a first user's avatar in a virtual reality environment. A first user's avatar activity and the second user's activity are evaluated to determine the second user's (e.g., via another avatar) attention level directed towards first user's avatar. Information can be sent to notify the first user that the second user's attention level has satisfied attention-level criterion data. For example, if the second user is viewing and/or is within audio range of the first user for too long of a time or too frequently, then the first user can be notified and/or other action taken. Remedial action is available for negative attention, such blocking the second user from experiencing the first user in the environment. Detection of attention for positive purposes is available, such as to reward an influencer whose avatar is receiving significant attention from followers.