Sensory Preference Scoring for Personalized User Interfaces
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Solution Overview
Problem
Existing electronic devices lack personalization in user interfaces, leading to sensory overload or deprivation due to generic sensory branding that does not cater to individual user preferences.
Innovation Solution
Electronic devices determine a user's dominant sensory profile through sensor interactions and reactions, constructing a user interface sensory element bundle that is transmitted across a network to tailor the user interface experience to individual sensory preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a generic user interface is used for all users, then device complexity is reduced and ease of manufacture is improved, but user satisfaction deteriorates due to sensory overload or deprivation
Solution Approach 1:
The system performs preliminary sensing of user reactions to multiple user interface elements before final selection. Sensors capture physiological responses (eye tracking, galvanic skin response, pupil dilation) in advance, allowing the system to pre-determine the optimal user interface configuration before actual use, thus personalizing the interface without adding operational complexity during use.
Solution Approach 2:
The system enables self-service personalization by automatically sensing user physiological responses and autonomously selecting the most suitable user interface elements. The electronic device performs self-adjustment based on real-time sensor data, eliminating the need for manual user configuration while achieving personalized interfaces.
2Loss of information
If multiple user interface elements are presented for sensory testing, then user sensory preference data is improved, but measurement precision becomes more difficult due to complex sensor processing requirements
Solution Approach 1:
The system segments the user interface into multiple discrete elements (first user interface element, second user interface element, etc.) that can be independently tested. Each element is evaluated separately through sensors, allowing the system to capture specific sensory preferences for different interface components without overwhelming the measurement system.
Solution Approach 2:
The system implements feedback loops where sensor measurements of user physiological responses are continuously fed back to adjust and refine the determination of sensory preferences. The sensors monitor reactions in real-time, and the system uses this feedback to iteratively improve the accuracy of user profile construction and user interface element selection.
Data Source
AI summary
An electronic device includes a communication device and one or more processors operable with the communication device. The one or more processors are configured to, in response to the communication device determining that a remote electronic device in communication with the communication device across a network is implementing a sensory element user interface presentation mode of operation, compile a plurality of user interface sensory element configurations contained in a user interface sensory element bundle from which a user interface sensory element configuration can be selected as a function of a dominant sensory profile associated with an authorized user of the electronic device, and cause the communication device to transmit the user interface sensory element bundle to the remote electronic device across the network.