Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
7-2024
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.
Keywords
Proactive Agent, Conversational Agent, Human-centered Design
Discipline
Databases and Information Systems
Research Areas
Data Science and Engineering
Areas of Excellence
Digital transformation
Publication
SIGIR '24: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, Washington, DC, July 14-18
First Page
807
Last Page
818
ISBN
9798400704314
Identifier
10.1145/3626772.3657843
Publisher
ACM
City or Country
New York
Citation
DENG, Yang; LIAO, Lizi; ZHENG, Zhonghua; YANG, Grace Hui; and CHUA, Tat-Seng.
Towards human-centered proactive conversational agents. (2024). SIGIR '24: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, Washington, DC, July 14-18. 807-818.
Available at: https://ink.library.smu.edu.sg/sis_research/9113
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1145/3626772.3657843