Objective-Effectuators for Dynamic Actions in Synthesized Reality
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Solution Overview
Problem
Existing devices are ineffective in presenting representations of objects associated with actions in synthesized reality settings, particularly those related to characters and equipment from fictional materials.
Innovation Solution
A system and method for generating and presenting objective-effectuators in synthesized reality settings, characterized by predefined actions and visual rendering attributes, which determine and modify actions based on contextual information to effectuate objectives.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If previously available devices present synthesized reality settings, then virtual and augmented settings can be generated, but representations of objects associated with actions (characters and equipment from fictional materials) cannot be effectively presented
Solution Approach 1:
The system creates virtual copies of characters and equipment from fictional materials by extracting visual attributes and action patterns from source materials (movies, games, books). These copied representations are then instantiated in the synthesized reality setting, allowing faithful reproduction of fictional objects without requiring physical props or actors.
Solution Approach 2:
The system implements dynamic action generation where objective-effectuators automatically determine and execute sequences of actions based on contextual information from the synthesized reality setting. This allows characters and equipment to perform context-appropriate actions dynamically rather than following pre-scripted sequences, enhancing realism and adaptability.
2Ease of operation
If synthesized reality settings include virtual replacements of physical settings, then immersive experiences are achieved, but interaction with objects associated with actions is ineffective
Solution Approach 1:
The objective-effectuator system operates autonomously by automatically determining contextual information, selecting appropriate actions from predefined sets, and executing action sequences without requiring direct user programming or control. This self-service capability allows complex character and equipment interactions to occur naturally within the synthesized reality setting.
Solution Approach 2:
The system continuously determines contextual information from the synthesized reality setting and uses this feedback to adjust and modify action sequences for objective-effectuators. This closed-loop feedback mechanism ensures that character and equipment behaviors remain appropriate and effective as the setting evolves.
Data Source
AI summary
Various implementations disclosed herein include devices, systems, and methods for presenting objective-effectuators in synthesized reality settings. In various implementations, a device includes a non-transitory memory and one or more processors coupled with the non-transitory memory. In some implementations, a method includes instantiating an objective-effectuator into a synthesized reality setting. In some implementations, the objective-effectuator is characterized by a set of predefined actions and a set of visual rendering attributes. In some implementations, the method includes obtaining an objective for the objective-effectuator. In some implementations, the method includes determining contextual information characterizing the synthesized reality setting. In some implementations, the method includes generating a sequence of actions from the set of predefined actions based on the contextual information and the objective. In some implementations, the method includes modifying the objective-effectuator based on the sequence of actions.