Dialogue Complexity Assessment for Service Request Handling
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Solution Overview
Problem
Current methods lack an effective way to measure and manage dialogue complexity across various interactions, making it difficult to understand customer needs and optimize service operations in service industries.
Innovation Solution
A computer-implemented method to assess dialogue complexity by calculating complexity at the utterance, turn, and dialogue levels, using weighted sums and machine learning, which allows for automatic calculation, context independence, and interpretation of complexity sources, enabling better service handling and resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional techniques track high-level indicators such as sentiments, then customer interaction analysis is enabled, but dialogue complexity measurement is insufficient
Solution Approach 1:
The patent segments dialogue complexity measurement into multiple hierarchical levels: utterance-level complexity (individual speech acts), turn-level complexity (exchanger pairs), and dialogue-level complexity (overall interaction). This segmentation enables precise measurement at each level while making the overall assessment manageable and systematic.
Solution Approach 2:
The patent introduces multiple quantitative parameters to measure complexity: linguistic complexity (word length, vocabulary diversity), structural complexity (dialogue length, turn-taking patterns), and semantic complexity (information density, topic transitions). By changing from qualitative sentiment tracking to quantitative parameter measurement, precise complexity assessment becomes feasible.
2Adaptability or versatility
If dialogue data is collected from various service contexts, then comprehensive analysis is possible, but comparison across contexts becomes difficult
Solution Approach 1:
The patent creates a universal dialogue complexity framework that can be applied across multiple service contexts (customer service, technical support, sales). The standardized measurement parameters and hierarchical structure enable consistent complexity assessment regardless of the specific service domain, allowing meaningful comparisons while adapting to different contexts.
3Measurement precision
If manual analysis of dialogue complexity is performed, then detailed understanding is achieved, but processing efficiency decreases
Solution Approach 1:
The patent implements automated computational methods that enable dialogue complexity assessment to serve itself without extensive manual intervention. Algorithms automatically calculate complexity parameters, classify dialogue acts, and generate assessments, making the system self-sufficient while maintaining detailed measurement precision.
Solution Approach 2:
The patent replaces manual mechanical analysis with computational algorithms and machine learning models. Automated text processing, natural language understanding, and statistical analysis substitute human analysts, achieving both detailed precision and high processing efficiency simultaneously.
Data Source
AI summary
A dialogue complexity assessment method, system, and computer program product including calculating a complexity utilizing domain-dependent terms and domain-independent terms of a dialogue, where the dialogue includes dialogue data from contact centers of service providers.