Digital Worker Skill Overlap Mitigation via Disambiguation
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Solution Overview
Problem
Digital workers experience skill overlap, leading to ambiguity and errors when multiple skills are invoked simultaneously, as existing technologies lack a method to determine and mitigate such overlaps.
Innovation Solution
A computer-implemented method that detects similarity between assigned skills, generates disambiguation questions, and disambiguates skills based on user answers, thereby reducing ambiguity and improving performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple skills are assigned to digital workers to expand functionality, then adaptability improves, but skill overlap and ambiguity increase
Solution Approach 1:
The system performs preliminary detection of skill overlaps before they cause problems. By detecting similarity between skills in advance and generating disambiguation questions proactively, the system prevents ambiguity from affecting task execution, thereby maintaining both expanded functionality and reliable operation.
Solution Approach 2:
The disambiguation question serves as an intermediary mechanism between the digital worker and the skill selection process. When skill overlap is detected, the intermediary disambiguation question clarifies the user's intent before skill execution, resolving the ambiguity without blocking the expanded functionality.
2Reliability
If skill detection and disambiguation processes are added, then reliability improves, but device complexity increases
Solution Approach 1:
The skill detection and disambiguation mechanisms are integrated into the existing digital worker framework, allowing the same system to handle both skill assignment and ambiguity resolution. The disambiguation question generator leverages existing skill data structures and similarity detection capabilities, avoiding the need for entirely separate complex systems.
Solution Approach 2:
The system serves itself by automatically detecting skill overlaps and generating appropriate disambiguation questions without requiring external intervention. This self-service capability improves reliability while minimizing the operational complexity burden on users.
Data Source
AI summary
A method, a structure, and a computer system for mitigating digital worker skill overlap. Exemplary embodiments may include detecting a similarity between a first skill and a second skill assigned to a digital worker, generating a disambiguation question to disambiguate the first skill from the second skill, and disambiguating the first skill from the second skill based on an answer to the disambiguation question.