AR Experience Selection Using Physical Context Detection
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Solution Overview
Problem
Users engaging with augmented reality (AR) experiences through messaging applications are often unaware of suitable experiences due to their physical environment lacking required aspects, leading to frustration and missed opportunities.
Innovation Solution
An AR experience selection system automatically selects AR experiences based on the physical environment of the user device, using trigger events like co-location or camera scanning to identify suitable experiences and generate a UI for launching them.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users manually search for AR experiences, then they can access a wide variety of experiences, but they often discover suitable experiences only after learning about them, leading to frustration and missed opportunities
Solution Approach 1:
The system automatically detects the user's physical environment using device sensors and cameras, then autonomously selects and presents appropriate AR experiences without requiring manual user search or configuration. The system serves itself by interpreting physical context and making intelligent recommendations.
Solution Approach 2:
The system changes the presentation parameters of AR experiences based on detected physical environment parameters. When the physical context changes (e.g., location, surrounding objects, lighting conditions), the system adjusts which experiences are presented and how they are configured to match the current physical state.
2Adaptability or versatility
If the system presents all available AR experiences to users, then users have access to maximum variety, but users cannot identify which experiences are suitable for their current physical environment
Solution Approach 1:
The system continuously monitors the user's physical environment through device sensors and cameras, using this feedback to dynamically determine which AR experiences are most suitable. The physical context detection provides ongoing feedback that guides experience selection and presentation.
Solution Approach 2:
The system introduces physical context detection as an intermediary layer between the user and AR experiences. This intermediary component translates physical environment data into relevant experience recommendations, bridging the gap between available experiences and user needs.
3Adaptability or versatility
If the system requires users to manually configure AR experiences, then users can customize their preferences, but the complexity of setup increases and users may be discouraged from trying new experiences
Solution Approach 1:
The system automatically configures AR experiences by detecting physical environment parameters and selecting appropriate experiences without requiring user intervention. The configuration process is performed autonomously based on real-time physical context analysis.
Solution Approach 2:
The system performs preliminary configuration actions by pre-analyzing the physical environment and pre-selecting suitable experiences before the user needs to engage with them. This eliminates the need for users to perform manual setup or configuration steps.
Data Source
AI summary
The users' experience of engaging with augmented reality (AR) technology that permits users to interact with their environment and with each other is enhanced by automatically selecting an AR experience that is suitable for use given the physical environment of the user. The physical environment of the user is the physical environment of the user's computing device. The physical environment may include objects and/or conditions present in close proximity to the user's computing device, such as other humans, animals, and smart devices.