본 과제 용역연구기관인 동국대학교는 본 과제 수행을 통해 연구개발한 불확실성 해소를 위한 질문의 분류 체계를 HRI 2023에 발표하였습니다. 논문 정보와 관련 홍보 기사를 공유합니다.

논문

• Shin, Minjung, Minsu Jang, Miyoung Cho, and Jeh-Kwang Ryu. “Uncertainty-Resolving Questions for Social Robots.” In Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, pp. 226-230. 2023. paper

요약

Social robots should deal with uncertainties in unseen environments and situations in an interactive setting. For humans, question-answering is one of the most typical activities for resolving or reducing uncertainty by acquiring additional information, which is also desirable for social robots. In this study, we propose a framework for leveraging the research on learning-by-asking techniques for social robots. This framework is inspired by human inquiries. Information seeking by asking should be considered at the multi-dimensional level, including required knowledge, cognitive processes, and question types. These dimensions offer a framework to embed generated questions into the three-dimensional question space, which is expected to provide a reasonable benchmark for the active learning approach and evaluation methodologies of uncertainty-resolving question generation for social robots.

발표 영상