The proliferation of automated conversational systems such as chatbots, spoken-dialogue systems, and smart speakers, has significantly impacted modern digital life. However, these systems are primarily designed to provide answers to well-defined questions rather than to support users in exploring complex, ill-defined questions. In this paper, we aim to push the boundaries of conversational systems by examining the types of nebulous, open-ended questions that can best be answered through conversation. We first sampled 500 questions from one million open-ended requests posted on AskReddit, and then recruited online crowd workers to answer eight inquiries about these questions. We also performed open coding to categorize the questions into 27 different domains. We found that the issues people believe require conversation to resolve satisfactorily are highly social and personal. Our work provides insights into how future research could be geared to align with users' needs.
翻译：自动对话系统（如聊天机器人、口语对话系统和智能音箱）的大规模应用已经对现代数字生活产生了重要影响。然而，这些系统主要设计用于回答明确定义的问题，而不是用于支持用户探索复杂的、不确定的问题。在本文中，我们旨在通过研究最适合通过对话回答的模糊、开放性问题的类型来推动对话系统的边界。首先，我们从AskReddit上发布的一百万个开放性请求中随机抽样了500个问题，然后招募在线众包工人回答了这些问题的八个调查。我们还进行了开放编码，将问题归类为27个不同的领域。我们发现，人们认为需要对话才能令人满意地解决的问题高度涉及社会和个人问题。我们的工作为如何将未来的研究定位于用户需求提供了见解。
相关内容
微信扫码咨询专知VIP会员