Avatar Personal Boundary Adjustment for XR Harassment Control
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Solution Overview
Problem
The metaverse in extended reality (XR) environments faces challenges in controlling harassment, assaults, and bullying due to the immersive nature of the digital world, where bad behavior can feel real and is difficult to monitor effectively, and users prefer minimal manual intervention for personal boundaries.
Innovation Solution
A system dynamically sets and adjusts personal boundaries for avatars by analyzing offensiveness ratings and user tolerances, automatically censoring messages, and providing feedback to enhance user safety and comfort.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual monitoring and control of personal boundaries is implemented, then user safety and harassment control are improved, but user experience and ease of operation deteriorate due to requiring manual user input and intervention
Solution Approach 1:
The system automatically monitors and manages personal boundaries without requiring manual user input. The avatar self-adjusts its boundary radius based on detected interactions and user preferences stored in memory, enabling autonomous harassment control while maintaining ease of operation.
Solution Approach 2:
The system continuously monitors interactions between avatars and dynamically adjusts boundary parameters based on real-time feedback. When harmful interactions are detected, the system automatically modifies the boundary radius and censorship level, creating a closed-loop control system that improves reliability without manual intervention.
2Measurement precision
If continuous monitoring of all users in XR environment is implemented, then harassment detection accuracy is improved, but computing resource consumption increases
Solution Approach 1:
Instead of uniformly monitoring all users equally, the system applies differentiated monitoring based on local conditions. The boundary radius and monitoring intensity are adjusted locally for each avatar based on its specific interactions and detected behavior, concentrating computing resources where needed rather than uniformly across all users.
Solution Approach 2:
The monitoring intensity and boundary parameters are dynamically adjusted based on real-time detected interactions. The system increases monitoring precision only when harmful interactions are detected, rather than maintaining constant high-level monitoring, thereby reducing overall computing resource consumption while maintaining detection accuracy when needed.
3Adaptability or versatility
If flexible dynamic boundary adjustment is implemented, then user experience and adaptability are improved, but system complexity increases
Solution Approach 1:
The system achieves flexible boundary adjustment by modifying key parameters such as boundary radius and censorship level rather than implementing completely complex dynamic systems. These parameter changes provide adaptability to different situations while keeping the underlying system structure relatively simple and manageable.
Data Source
AI summary
Systems and methods are provided for dynamically adjusting a personal boundary of an avatar in an XR environment. The system identifies a first avatar in an extended reality (XR) environment based on rule data stored in a storage. In response to the system detecting that the first avatar has entered a portion of the XR environment at a communicable distance from a second avatar, the system does the following steps. The system determines an offensiveness rating of the first avatar. The system retrieves, from the storage, an offensiveness tolerance of the second avatar. The system compares the offensiveness rating of the first avatar and offensiveness tolerance of the second avatar. In response to determining, based on the comparing, that the offensiveness rating of the first avatar exceeds the offensiveness tolerance of the second avatar, the system automatically censors one or more messages from the first avatar to the second avatar.


