Towards Human-centered Proactive Conversational Agents

April 19, 2024 ยท Declared Dead ยท ๐Ÿ› Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

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Authors Yang Deng, Lizi Liao, Zhonghua Zheng, Grace Hui Yang, Tat-Seng Chua arXiv ID 2404.12670 Category cs.IR: Information Retrieval Cross-listed cs.CL, cs.HC Citations 63 Venue Annual International ACM SIGIR Conference on Research and Development in Information Retrieval Last Checked 3 months ago
Abstract
Recent research on proactive conversational agents (PCAs) mainly focuses on improving the system's capabilities in anticipating and planning action sequences to accomplish tasks and achieve goals before users articulate their requests. This perspectives paper highlights the importance of moving towards building human-centered PCAs that emphasize human needs and expectations, and that considers ethical and social implications of these agents, rather than solely focusing on technological capabilities. The distinction between a proactive and a reactive system lies in the proactive system's initiative-taking nature. Without thoughtful design, proactive systems risk being perceived as intrusive by human users. We address the issue by establishing a new taxonomy concerning three key dimensions of human-centered PCAs, namely Intelligence, Adaptivity, and Civility. We discuss potential research opportunities and challenges based on this new taxonomy upon the five stages of PCA system construction. This perspectives paper lays a foundation for the emerging area of conversational information retrieval research and paves the way towards advancing human-centered proactive conversational systems.
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