需要伴侣:一种新的持续用户需求传感方法,使用虚拟代理和大型语言模型进行传感
Takuya Nakata1, Masahide Nakamura2,3, Sinan Chen2
1Graduate School of Engineering, Kobe University, 1-1 Rokkodai-cho, Nada-ku, Kobe 657-8501, Hyogo, Japan.
Sensors (Basel, Switzerland)
|November 9, 2024
概括
本研究介绍了Needs Companion,该系统使用虚拟代理和大型语言模型 (LLM) 自动检测个人服务需求. 它能够准确感知个性化服务的需求.
科学领域:
- 人与计算机的交互
- 人工智能的人工智能
- 服务科学科学 服务科学
背景情况:
- 服务对日常生活至关重要,需要个性化的方法.
- 当前的方法经常从行为日志中推断出需求,缺乏直接检测.
- 创造一个以人为中心的社会需要了解个人服务需求.
研究的目的:
- 引入需求伴侣,用于自动个人服务需求检测.
- 为准确的需求感知奠定基础.
- 为个性化服务开发提供可解释的数据.
主要方法:
- 根据6W1H框架开发了一个需求数据模型.
- 雇佣了虚拟代理人来满足需求.
- 利用大型语言模型 (LLM) 进行自动化需求分析和提取.
主要成果:
- 需求伴侣系统证明了准确和快速检测个人服务需求.
- 实验结果验证了系统在识别用户需求方面的有效性.
- 生成可解释的数据对于定制服务至关重要.
结论:
- 需求伴侣推进了针对个性化服务的自动需求检测.
- 这项研究有助于机器学习,以人为中心的设计和需求工程.
- 这项工作为更具响应性和以用户为中心的服务系统铺平了道路.
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