What Types of Questions Require Conversation to Answer? A Case Study of AskReddit Questions

March 30, 2023 Β· Declared Dead Β· πŸ› CHI Extended Abstracts

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Authors Shih-Hong Huang, Chieh-Yang Huang, Ya-Fang Lin, Ting-Hao 'Kenneth' Huang arXiv ID 2303.17710 Category cs.HC: Human-Computer Interaction Cross-listed cs.CL Citations 5 Venue CHI Extended Abstracts Last Checked 4 months ago
Abstract
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.
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