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)的普及,显著影响了现代数字生活。然而,这些系统主要设计用于回答明确定义的问题,而不是支持用户探索复杂的、未定义的问题。本文旨在通过研究可以最好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界限。我们首先从一百万个 AskReddit 的开放性请求中抽取了 500 个问题,然后招募了在线众包工作者回答这些问题的八个调查。我们还进行开放性编码,将问题分类到 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非常社会化和个人化。我们的研究为未来的研究提供了洞察,以与用户的需求相一致。