Contextual App Icon Interaction With Intensity-Based Feedback
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Solution Overview
Problem
Existing methods for manipulating user interfaces on electronic devices with touch-sensitive surfaces are cumbersome and inefficient, leading to unnecessary energy consumption, particularly in battery-operated devices.
Innovation Solution
Implementing methods that utilize intensity-based contact detection on touch-sensitive surfaces to perform operations without requiring specific intensity thresholds for certain actions, allowing for faster and more efficient interaction with user interfaces, including application launching, content expansion, and menu presentation, while providing visual and haptic feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional touch-sensitive surface methods are used to manipulate user interface objects, then the device can perform basic interactions, but the methods are cumbersome and inefficient, leading to increased energy consumption and longer operation time
Solution Approach 1:
The system performs preliminary actions by detecting contact intensity thresholds before executing full user interface operations. When a contact meets the intensity threshold, the system pre-processes the interaction by identifying the intended operation type, allowing for faster execution and reduced overall processing time, thereby improving efficiency while managing energy consumption.
Solution Approach 2:
The system changes the parameter of contact intensity detection by establishing specific intensity thresholds that differentiate between various user intentions. By monitoring and responding to different contact intensity levels, the system can distinguish between accidental touches and deliberate interactions, enabling more efficient user interface manipulation with reduced energy expenditure compared to conventional binary touch detection.
2Measurement precision
If intensity threshold detection is implemented for all operations, then operation precision improves, but system complexity and processing time increase
Solution Approach 1:
The system applies local quality by implementing intensity threshold detection selectively for specific user interface operations rather than uniformly across all interactions. Different operations have different intensity requirements, allowing the system to maintain high precision where needed while avoiding unnecessary complexity for simpler interactions, thus balancing measurement precision with system complexity.
Solution Approach 2:
The system segments the user interface manipulation process into distinct operation types, each with its own intensity threshold criteria. By dividing the overall interaction framework into operation-specific segments, the system can apply precise intensity detection only where necessary, reducing overall system complexity while maintaining high measurement precision for critical operations.
3Ease of operation
If full application launch is required for accessing functions, then all application capabilities are available, but user satisfaction decreases due to longer access time and reduced efficiency
Solution Approach 1:
The system applies partial action by enabling users to access frequently used application functions through contact intensity gestures without requiring a full application launch. This partial access mechanism provides sufficient functionality for common tasks, significantly reducing access time and improving ease of operation, while the full application can still be launched when complete capabilities are needed.
Solution Approach 2:
The system performs preliminary actions by pre-loading or pre-positioning frequently accessed application functions in a state that allows rapid activation through intensity-based gestures. This preliminary preparation enables quick function access without full application initialization, reducing the perceived wait time and improving user satisfaction while maintaining the option for complete application functionality when required.
Data Source
AI summary
While a computer system displays a first user interface that includes a plurality of application icons corresponding to different applications, the computer system detects a input that is directed to a first application icon corresponding to a first application. In response, if the input meets first criteria, the computer system displays a first plurality of selectable options, including a first selectable option that corresponds to a first contextual content object of the first application. In response to selection of the first selectable option, the computer system displays the first contextual content object in a second user interface, wherein the first contextual content object is concurrently displayed with one or more contextual content objects corresponding to one or more applications other than the first application, and the first contextual content object includes content that is automatically selected from the first application based on a current context of the computer system.