构建首个考虑用户意愿的销售对话数据集,助力智能销售系统更懂用户
User Willingness-aware Sales Talk Dataset
- 基于生态有效性设计真实场景对话环境,采集用户逐语句意愿数据
- 识别三类关键用户意愿类型,揭示影响购买决策的核心因素
- 适用于智能客服、销售助手研发,尤其关注用户心理状态建模的研究者
用户意愿是影响销售目标达成的关键因素。尽管其重要性突出,但目前尚无研究针对显式考虑用户意愿的自动化销售对话系统进行开发。主要障碍在于缺乏可靠用户意愿标注的销售对话数据集。为此,本研究基于人机交互领域的生态有效性概念,构建了一个用户意愿感知的销售对话数据集。方法聚焦于真实销售互动中三种关键的用户意愿类型,设计贴近现实场景的对话环境,使参与者在每句话后从多个角度评估自身意愿。通过对收集数据的分析,提炼出实用的用户意愿感知销售策略。此外,作为数据集的应用,我们开发并评估了一套旨在提升用户购买意图的销售对话系统。
原文摘要 · Abstract (English)
User willingness is a crucial element in the sales talk process that affects the achievement of the salesperson's or sales system's objectives. Despite the importance of user willingness, to the best of our knowledge, no previous study has addressed the development of automated sales talk dialogue systems that explicitly consider user willingness. A major barrier is the lack of sales talk datasets with reliable user willingness data. Thus, in this study, we developed a user willingness-aware sales talk collection by leveraging the ecological validity concept, which is discussed in the field of human-computer interaction. Our approach focused on three types of user willingness essential in real sales interactions. We created a dialogue environment that closely resembles real-world scenarios to elicit natural user willingness, with participants evaluating their willingness at the utterance level from multiple perspectives. We analyzed the collected data to gain insights into practical user willingness-aware sales talk strategies. In addition, as a practical application of the constructed dataset, we developed and evaluated a sales dialogue system aimed at enhancing the user's intent to purchase.
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