用户意愿感知的销售对话数据集
User Willingness-aware Sales Talk Dataset
AI总结：
针对现有销售对话系统缺乏用户意愿建模及可靠标注数据的问题，本文基于生态效度构建了用户意愿感知的销售对话数据集，并据此开发评估了旨在提升用户购买意图的销售对话系统。
摘要：
用户意愿是销售对话过程中的一个关键要素，它会影响销售人员或销售系统目标的达成。尽管用户意愿十分重要，但据我们所知，此前尚无研究致力于开发明确考虑用户意愿的自动化销售对话系统。一个主要障碍是缺乏带有可靠用户意愿标注的销售对话数据集。因此，在本研究中，我们借助人机交互领域所讨论的生态效度概念，构建了一个用户意愿感知的销售对话数据集。我们的方法聚焦于真实销售互动中至关重要的三类用户意愿。我们创建了一个高度贴近真实场景的对话环境，以激发自然的用户意愿表达，并让参与者在话语层面从多个角度评估其意愿。我们对收集到的数据进行了分析，以深入理解实用的用户意愿感知销售对话策略。此外，作为所构建数据集的一个实际应用，我们开发并评估了一个旨在提升用户购买意图的销售对话系统。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
