Handcrafted AR Creation Data for Proof of Effort
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional handcrafted AR systems focus on placing AR objects in the world or applying filters without providing personalized experiences that can be shared with others, lacking the ability to convey meaningful effort put into creating these experiences.
Innovation Solution
Capture and process AR object generation data to generate proof of effort data, including time lapse views and interaction statistics, to create personalized and shareable handcrafted AR experiences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional handcrafted AR systems place AR objects in the world or apply filters, then basic AR functionality is achieved, but the ability to convey meaningful effort put into creating these experiences is lost
Solution Approach 1:
The system captures AR object generation data during the creation process itself, recording user interactions, modifications, and crafting steps before the AR experience is finalized. This preliminary capture of effort information ensures that the data is available for later presentation without requiring complex post-processing systems.
Solution Approach 2:
The patent introduces an intermediary layer that processes AR object generation data and transforms it into presentable proof of effort information. This intermediary component sits between the AR creation process and the final presentation, converting raw data into meaningful narratives that convey the effort invested without adding significant system complexity.
2Adaptability or versatility
If the system captures and processes AR object generation data to generate proof of effort data, then personalized and shareable AR experiences are created, but data processing requirements increase
Solution Approach 1:
The system extracts only the essential effort-related data from the AR object generation process, such as user interactions, modification sequences, and time invested. By taking out only the relevant information needed to convey effort rather than processing all generated data, the system achieves personalization while maintaining processing efficiency.
Solution Approach 2:
The patent applies different processing qualities to different aspects of AR object generation data. Critical effort-related interactions receive detailed processing and analysis, while less relevant data receives minimal processing. This local quality approach enables personalization of proof of effort presentation without uniformly increasing data processing requirements across all aspects.
Data Source
AI summary
Augmented reality (AR) systems, devices, media, and methods are described for capturing and presenting effort put into generating a handcrafted AR experience. AR object generation data is captured during the generation of a handcrafted AR object. The AR object generation data is then processed to generate proof of effort data for inclusion with the handcrafted AR object. Examples of proof of effort include a time lapse view of the steps taken during generation of the AR object and statistics such as total time spent, number of images or songs considered for selection, number of actions implemented, etc.