Information Processing Apparatus Scene and Chunk Estimation
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Solution Overview
Problem
Conventional information processing methods require reconstructing large amounts of document-based information, making it costly and inefficient to search and present relevant operational information to operators.
Innovation Solution
An information processing apparatus that includes a scene estimator, a chunk estimator, a transition destination suggestion unit, and an output unit, which processes images of operations to estimate scenes and chunks without reconstructing entire documents, thereby presenting only necessary information to operators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If document-based information is searched by reconstructing the entire document into structured information, then search accuracy is improved, but processing cost and time increase significantly
Solution Approach 1:
The patent segments the document into multiple chunks based on operational information units. Instead of reconstructing the entire document, the system divides it into manageable segments (chunks) that can be independently processed and searched. This allows the system to retrieve only relevant chunks rather than processing the whole document, thereby maintaining search accuracy while reducing processing time and cost.
Solution Approach 2:
The patent extracts only the necessary operational information chunks from the document based on the operator's request and current operation state. The chunk estimator extracts relevant chunks without processing the entire document, and the output unit presents only these extracted chunks to the operator. This extraction approach maintains search precision by focusing on relevant information while avoiding the time cost of processing unnecessary document portions.
2Loss of information
If the entire document is processed to provide comprehensive information, then information completeness is improved, but device complexity and processing cost increase
Solution Approach 1:
The system segments the document into operational chunks and processes only the relevant segments based on the operator's current needs. The chunk estimator divides the document into meaningful units, and the output unit selectively presents relevant chunks rather than processing the entire document. This segmentation approach maintains information completeness for relevant operations while reducing overall processing complexity.
Solution Approach 2:
The patent applies partial action by processing only the necessary portion of the document (relevant chunks) rather than the entire document. The chunk estimator identifies and processes only the chunks needed for the current operation context, avoiding the complexity of processing excessive information. This partial processing maintains sufficient information completeness for the operator's needs while reducing device complexity and processing cost.
3Measurement precision
If document information is presented in its original form, then information accuracy is maintained, but ease of operation deteriorates due to large amounts of unnecessary information
Solution Approach 1:
The patent extracts only the relevant operational information chunks from the document based on the operator's request and current operation state. The chunk estimator identifies and extracts relevant chunks, and the output unit presents these extracted chunks in a simplified format. This extraction maintains information accuracy for relevant operations while dramatically improving ease of operation by eliminating unnecessary information that would otherwise require browsing through large amounts of text.
Solution Approach 2:
The system applies partial action by presenting only the necessary portion of information (relevant chunks) rather than the complete document. The output unit selectively presents chunks that are relevant to the current operation context, maintaining information accuracy for those specific operations while improving ease of operation by avoiding the need for the operator to browse through excessive unnecessary information.
Data Source
AI summary
An information processing apparatus outputs operational information as information regarding a first operation and a second operation performed by an operator on an object as an operation target, the information processing apparatus including a scene estimator, a chunk estimator, a transition destination suggestion unit, and an output unit. The scene estimator obtains first images as images of a scene in a state where the operator performs the first operation and the second operation, and estimates the scene by using a first learned model describing an association between the first image and a scene ID that uniquely indicates the scene. The chunk estimator obtains second images as images of an object of the first operation and the second operation, and estimates a chunk by using one of a plurality of second learned models that store an association between the second image and one or a plurality of meta IDs for chunk.