Wireless Token Interaction Guidance for Signal-Strength Matching
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Solution Overview
Problem
The variety of token and device types leads to poor user experiences and inefficient information transfer due to uncertainties in how to facilitate interactions between tokens and devices, particularly when users are unfamiliar or have multiple tokens for different devices.
Innovation Solution
Systems and methods generate dynamic components on devices based on device and token types to guide users on proper interaction, using profiles to predict optimal interaction locations and adjust for individual user experiences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If dynamic components are generated based on device and token types to guide users, then user interaction efficiency is improved, but device complexity increases
Solution Approach 1:
The system pre-generates dynamic components and determination rules based on device types and token types before actual interaction occurs. Profiles storing optimal interaction locations are created in advance through preliminary actions, so when a user attempts to use a token, the system can quickly retrieve and display the appropriate guidance components without real-time complex calculations, thus improving interaction efficiency while managing device complexity
Solution Approach 2:
A profile system acts as an intermediary between the device and token interaction. The profile stores determination rules and optimal locations for different device-token type combinations, mediating the complex matching process. This intermediary layer handles the complexity of determining correct interaction locations, allowing the actual device and token to interact more efficiently without directly managing the complexity themselves
2Reliability
If optimal interaction locations are predicted using profiles, then the likelihood of achieving desired signal strength is enhanced, but loss of time for data processing increases
Solution Approach 1:
Optimal interaction locations and determination rules are determined and stored in profiles before actual token-device interaction is needed. The system performs preliminary analysis to identify optimal locations for different device and token type combinations, so when interaction is required, the system can quickly retrieve pre-determined locations from profiles rather than calculating them in real-time, thus reducing time loss while maintaining high reliability
Solution Approach 2:
The system uses feedback from previous interaction results to update and refine profiles. By analyzing successful interactions and their outcomes, the system continuously improves the accuracy of predicted optimal locations stored in profiles. This feedback mechanism enhances the reliability of signal strength achievement over time while the retrieval process remains efficient, minimizing time loss
Data Source
AI summary
In some embodiments, a system may detect a request for a token interaction between a token and a user device. The system may access profile data associated with a user, where the profile data is derived from feedback indicating signal-strength-related results corresponding with one or more prior token interactions that occurred in connection with presentation of one or more components at one or more locations of a user interface. Based on the request and the profile data, the system may cause presentation of one or more indications of a location within the user interface at which to present a component for the token interaction.