用户个性及其对管道和端到端任务导向对话系统性能的影响
Ao Guo1, Atsumoto Ohashi2, Ryu Hirai2
1Graduate School of Informatics, Nagoya University, Nagoya, Japan. guo.ao.i6@f.mail.nagoya-u.ac.jp.
Scientific reports
|July 2, 2025
概括
用户的个性影响对话系统,但间接. 对话行为是关键,中性感知敏感度和情绪管理技能显著影响任务的成功. 性格特征,如外向性也起到了作用.
科学领域:
- 人与计算机的交互
- 计算语言学 计算语言学
- 心理学 心理学 心理学
背景情况:
- 面向任务的对话系统旨在提高用户的满意度和任务的成功.
- 调整对话系统以适应用户个性是一个有希望但研究不足的领域.
- 了解人格和对话表现之间的联系对于开发适应性系统至关重要.
研究的目的:
- 调查用户个性对任务导向对话系统性能的影响.
- 探索用户对话行为在这种关系中的调解作用.
- 为了在管道和端到端 (E2E) 对话系统架构中比较这些影响.
主要方法:
- 从众包参与者收集的数据,他们使用旅游信息领域 (MultiWOZ数据集) 完成了对话任务.
- 向参与者管理人格调查问卷.
- 使用相关性分析和结构方程建模 (SEM) 来分析人格,行为和绩效关系.
主要成果:
- 发现用户个性和对话任务性能之间的直接相关性较弱.
- 确定了对话行为,个性和表现之间的更强的相关性.
- 中性感知灵敏度和情绪管理技能显著影响了跨系统的任务性能.
结论:
- 用户对话行为作为个性和对话任务执行之间的重要调解者.
- 特定的个性特征 (例如,外向,良心) 影响表现,但效果取决于环境 (任务设计,系统架构).
- 适应式对话系统应考虑行为线索和特定的人格方面,以提高表现.
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