Display Apparatus Intent Recognition via Reaction Database
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Solution Overview
Problem
Current display apparatuses lack user-personalized operation capabilities, often requiring multiple selection processes to accurately reflect a user's intention from their utterance, leading to inconvenience and inefficiency.
Innovation Solution
A display apparatus and method that collect user reaction information, establish a database to select the intended operation based on utterance information, and reconstruct rules using deep neural networks to improve accuracy and reduce user interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple selection processes are implemented to accurately determine user intention, then the accuracy of reflecting user intention is improved, but the complexity of operation increases and user convenience deteriorates
Solution Approach 1:
The system performs preliminary actions by collecting user reaction information in advance and establishing a database of utterance-intention mappings before actual operation. This allows the system to quickly determine user intention without requiring multiple selection processes during actual use, thereby maintaining accuracy while improving ease of operation.
Solution Approach 2:
The system enables self-service by automatically determining user intention through the established database and reaction information analysis, eliminating the need for users to manually select from multiple options. The system serves itself by using its own collected data to make accurate intention judgments without external intervention.
2Measurement precision
If user reaction information is collected and database is established to enable personalized operation, then the accuracy of user intention recognition is improved, but the device complexity increases
Solution Approach 1:
The system uses copying by creating a database that stores mapped relationships between utterances and intentions based on collected reaction information. Instead of complex real-time analysis, the system copies successful mappings from the database for quick intention determination, reducing computational complexity while maintaining high accuracy.
Solution Approach 2:
The system applies parameter changes by transforming raw reaction information into structured database entries with specific parameters (utterance, intention, reaction type). This organization allows efficient querying and matching, improving intention recognition accuracy while keeping the system manageable through standardized data structures.
3Ease of operation
If automatic intention selection is implemented to reduce user interaction, then the ease of operation is improved, but the risk of incorrect intention determination increases
Solution Approach 1:
The system implements feedback by collecting user reaction information after operations are performed and using this feedback to refine and update the utterance-intention database. This continuous feedback loop ensures that automatic intention selection becomes increasingly accurate over time, maintaining reliability while preserving ease of operation.
Solution Approach 2:
The system performs preliminary verification by checking multiple possible intentions against the database before making a final determination. This preliminary action reduces the risk of incorrect selection by validating against established patterns, thereby maintaining reliability while enabling automatic operation.
Data Source
AI summary
Disclosed are a display apparatus and a method for operating the display apparatus, the display apparatus being operated by executing an artificial intelligence (AI) algorithm and/or a machine learning algorithm in a 5G environment connected for Internet of Things. The method for operating the display apparatus includes the acts of receiving utterance information of a user who is watching the display apparatus, selecting an utterance intention corresponding to the user's utterance information according to a predefined rule, switching operation of the display apparatus on the basis of the selected utterance intention, collecting reaction information of the user corresponding to the switched operation of the display apparatus, and reconstructing the predefined rule by using the user's utterance information, the selected utterance intention, and the user's reaction information. Since the user's utterance intention corresponding to the user's utterance information is accurately reflected when the operation of the display apparatus is switched, user satisfaction in using the display apparatus can be improved.