Multi-mode Text Input via Contextual Analysis
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Solution Overview
Problem
Users interacting with web-based content via diverse devices and platforms are limited to text input and mouse gestures, lacking consistency and flexibility, especially when devices lack standard keyboards or mice.
Innovation Solution
Implementing multi-mode text input using various devices such as microphones and cameras, with an application that analyzes content for input indicators, filters input based on contextual information, and converts it into text for submission, enabling interactions beyond traditional input methods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If standard text input and mouse gestures are used for consistency across platforms, then user experience consistency is improved, but device compatibility and flexibility deteriorate when devices lack standard keyboards or mice
Solution Approach 1:
The patent implements multi-mode text input that works across diverse devices by supporting multiple input methods (keyboard, mouse, touchscreen, speech recognition, camera-based input). This universal approach allows the same application to function consistently on devices with different input capabilities, resolving the contradiction between maintaining consistent user experience and adapting to various device types.
Solution Approach 2:
The patent introduces an intermediary text conversion layer that translates various input modalities (speech, images, gestures) into standardized text format. This mediator enables devices without traditional keyboards to interact with web content consistently, bridging the gap between diverse input methods and uniform text-based interaction requirements.
2Adaptability or versatility
If multiple input devices and modes are supported, then device compatibility and flexibility are improved, but input processing complexity and filtering requirements increase
Solution Approach 1:
The patent extracts and separates the text conversion functionality into distinct modules for different input devices (speech-to-text, image-to-text, gesture-to-text). Each module independently processes its specific input type and converts it to text, simplifying the overall system architecture by dividing complex multi-mode processing into manageable, specialized components.
Solution Approach 2:
The patent segments the input processing system into multiple independent handlers, each responsible for a specific input modality. This segmentation allows each component to be optimized for its specific task while maintaining a unified text output interface, reducing overall system complexity despite supporting diverse input devices.
3Measurement precision
If contextual filtering is applied to convert non-textual input to text, then input accuracy and relevance are improved, but processing time and computational resources increase
Solution Approach 1:
The patent applies preliminary contextual analysis by examining surrounding text and form field context before performing speech-to-text or image-to-text conversion. This preliminary action pre-loads relevant vocabulary and context information, enabling faster and more accurate conversion without requiring extensive post-processing, thus balancing accuracy with processing time.
Data Source
AI summary
Concepts and technologies are described herein for multi-mode text input. In accordance with the concepts and technologies disclosed herein, content is received. The content can include one or more input indicators. The input indicators can indicate that user input can be used in conjunction with consumption or use of the content. The application is configured to analyze the content to determine context associated with the content and/or the client device executing the application. The application also is configured to determine, based upon the content and/or the contextual information, which input device to use to obtain input associated with use or consumption of the content. Input captured with the input device can be converted to text and used during use or consumption of the content.