Host: The Japanese Society for Artificial Intelligence
Name : The 103rd SIG-SLUD
Number : 103
Location : [in Japanese]
Date : March 20, 2025 - March 22, 2025
Pages 46-49
For the control strategy of a spoken dialogue system, we propose a method based on state management using multiple evaluation metrics and turn management with utterance completion prediction. The dialogue management is divided into two phases: condition confirmation and tourist spot explanation, each controlled by different evaluation metrics. The condition confirmation phase employs three metrics to gradually refine user requirements: condition ambiguity indicating search condition clarity, concretization difficulty representing requirement specification ease, and search condition sufficiency showing tourist spot search feasibility. The explanation phase provides tourist spot information while dynamically evaluating three metrics: rejection level indicating negative response strength, question detection determining question presence, and peripheral search necessity assessing the need for surrounding facility information. The system transitions between phases based on these evaluation metrics, flexibly updating search conditions in response to user reactions. The turn management system utilizes prediction based on utterance completion and context consideration, enabling responses at appropriate timing based on sentence-final expressions and utterance content. These implementations maintain natural dialogue flow while achieving effective tourist spot recommendations through systematic evaluation and control.