Problem
Research questions and friction points this paper is trying to address.
interview dialogue systems
user simulators
personas
Generating Diverse Personas for User Simulators to Test Interview Dialogue Systems
🤖 AI Summary
本文针对面试对话系统测试所需大量人力的问题，提出了一种利用大型语言模型自动生成具有多样化沟通风格的用户模拟器人格的方法。
📝 Abstract
This paper addresses the issue of the significant labor required to test interview dialogue systems. While interview dialogue systems are expected to be useful in various scenarios, like other dialogue systems, testing them with human users requires significant effort and cost. Therefore, testing with user simulators can be beneficial. Since most conventional user simulators have been primarily designed for training task-oriented dialogue systems, little attention has been paid to the personas of the simulated users. During development, testing interview dialogue systems requires simulating a wide range of user behaviors, but manually creating a large number of personas is labor-intensive. We propose a method that automatically generates personas for user simulators using a large language model. Furthermore, by assigning personality traits related to communication styles when generating personas, we aim to increase the diversity of communication styles in the user simulator. Experimental results show that the proposed method enables the user simulator to generate utterances with greater variation.
Innovation
Methods, ideas, or system contributions that make the work stand out.
large language model
persona generation
communication style diversity
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