Similarity Map Visualization for Action Analysis
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Solution Overview
Problem
In analyzing actions by task executors, especially in high-expertise domains like asset management, it is challenging for analysts without the same level of expertise to accurately grasp differences in actions and evaluate task executors, leading to difficulties in reproducing or comparing actions effectively.
Innovation Solution
An information processing device and method that generate a similarity map representing the similarity between actions by task executors on a two-dimensional plane, using action result data to visualize similarities and differences, and output action reproduction data with the same data structure based on coordinate data from the map, allowing for intuitive analysis and reproduction of tasks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If analysts without high expertise analyze actions by task executors in high-expertise domains, then analysis accessibility is improved, but analysis accuracy deteriorates
Solution Approach 1:
The patent introduces an intermediary system comprising a similarity map generation unit and action reproduction data generation unit. This intermediary translates complex expert actions into visual representations on a similarity map and generates reproducible action data, enabling analysts without high expertise to accurately analyze and reproduce task executor actions.
Solution Approach 2:
The patent creates copies of action characteristics through the similarity map visualization and action reproduction data. By generating action reproduction data with the same data structure as action result data, the system enables accurate reproduction of actions by third parties without requiring them to understand the original complex expert actions.
2Measurement precision
If detailed action analysis is performed to achieve high accuracy, then analysis precision is improved, but device complexity increases
Solution Approach 1:
The patent segments the complex action analysis process into distinct functional modules: a similarity map generation unit that processes action result data into visual representations, and an action reproduction data generation unit that creates reproducible action data from coordinate information. This segmentation reduces overall system complexity while maintaining high analysis precision.
3Adaptability or versatility
If action reproduction capability is enhanced, then task reproducibility is improved, but loss of information increases
Solution Approach 1:
The patent performs preliminary action by generating action reproduction data in advance that preserves the same data structure as the original action result data. This preliminary preparation ensures that when actions need to be reproduced by third parties, the necessary information is already structured and ready, preventing information loss during the reproduction process.
Data Source
AI summary
An analysis that allows intuitively grasping a difference between an action of by analysis target person and an action by another task executor is achieved. There is provided an information processing device including an analysis unit that analyzes a tendency of a preference related to an action on the basis of action result data indicating a result of the action regarding a predetermined task, in which the analysis unit generates a similarity map representing a similarity between the actions by each of a plurality of task executors including an analysis target person on a two-dimensional plane on the basis of the action result data, and represents strength of a preference related to a type of the action selected in a heat map form in the similarity map.