Multi-Modal Input Synchronization and Disambiguation
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Solution Overview
Problem
Current human-machine interaction (HMI) systems limit user input to specific modalities and do not effectively synchronize or disambiguate information from multiple input sources, leading to inefficiencies and errors in data processing.
Innovation Solution
A multi-modal synchronization and disambiguation system that integrates and synchronizes user inputs from various modalities, such as voice, touch, and gestures, to provide a seamless interface, allowing users to input information using preferred methods and correcting for ambiguities and errors through confidence scoring and contextual analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple input modalities are provided for user interaction, then user flexibility and efficiency are improved, but the system complexity increases due to the need to coordinate and synchronize multiple input sources
Solution Approach 1:
The patent introduces a multi-modal interface component that acts as an intermediary between multiple input modalities (speech, gesture, touch) and the dialog system. This intermediary receives inputs from various sources, synchronizes them temporally, and presents unified input to the dialog system, thereby managing complexity while preserving user flexibility.
Solution Approach 2:
The patent merges multiple input modalities into a unified input stream by combining speech, gesture, and touch inputs through a common interface. This consolidation allows the system to process multiple input types without requiring separate processing pipelines for each modality, reducing overall system complexity.
2Reliability
If information from multiple modalities is integrated, then data accuracy and error recovery are improved, but the processing time and computational resources increase
Solution Approach 1:
The patent performs preliminary synchronization and alignment of inputs from different modalities before they reach the dialog system. By pre-processing inputs to establish temporal correspondence and confidence scores, the system reduces the computational burden during actual dialog processing, thereby minimizing processing time while maintaining high data accuracy.
Solution Approach 2:
The system uses confidence scores from each modality to provide feedback on input quality. When one modality provides low-confidence input, the system can rely more heavily on other modalities with higher confidence, reducing the need for extensive processing of ambiguous inputs and thereby reducing processing time.
3Device complexity
If modalities are limited to certain types of data input, then system simplicity is maintained, but user efficiency and preference accommodation are reduced
Solution Approach 1:
The patent creates a universal multi-modal interface that can handle multiple types of data input (speech, gesture, touch) through a single unified component. This multi-functional interface maintains system simplicity by providing a consistent programming interface while accommodating various input types, thereby improving user efficiency without significantly increasing complexity.
Data Source
AI summary
Embodiments of a dialog system that utilizes a multi-modal input interface for recognizing user input in human-machine interaction (HMI) systems are described. Embodiments include a component that receives user input from a plurality of different user input mechanisms (multi-modal input) and performs certain synchronization and disambiguation processes. The multi-modal input components synchronizes and integrates the information obtained from different modalities, disambiguates the input, and recovers from any errors that might be produced with respect to any of the user inputs. Such a system effectively addresses any ambiguity associated with the user input and corrects for errors in the human-machine interaction.