Förster Frank, Romeo Marta, Holthaus Patrick, Wood Luke J, Dondrup Christian, Fischer Joel E, Liza Farhana Ferdousi, Kaszuba Sara, Hough Julian, Nesset Birthe, Hernández García Daniel, Kontogiorgos Dimosthenis, Williams Jennifer, Özkan Elif Ecem, Barnard Pepita, Berumen Gustavo, Price Dominic, Cobb Sue, Wiltschko Martina, Tisserand Lucien, Porcheron Martin, Giuliani Manuel, Skantze Gabriel, Healey Patrick G T, Papaioannou Ioannis, Gkatzia Dimitra, Albert Saul, Huang Guanyu, Maraev Vladislav, Kapetanios Epaminondas
Department of Computer Science, School of Physics, Engineering and Computer Science, University of Hertfordshire, Hatfield, United Kingdom.
Department of Computer Science, The University of Manchester, Manchester, United Kingdom.
Front Robot AI. 2023 Dec 1;10:1202306. doi: 10.3389/frobt.2023.1202306. eCollection 2023.
This paper summarizes the structure and findings from the first . The workshop was organized to bring together a small, interdisciplinary group of researchers working on miscommunication from two complementary perspectives. One group of technology-oriented researchers was made up of roboticists, Human-Robot Interaction (HRI) researchers and dialogue system experts. The second group involved experts from conversation analysis, cognitive science, and linguistics. Uniting both groups of researchers is the belief that communication failures between humans and machines need to be taken seriously and that a systematic analysis of such failures may open fruitful avenues in research beyond current practices to improve such systems, including both speech-centric and multimodal interfaces. This workshop represents a starting point for this endeavour. The aim of the workshop was threefold: Firstly, to establish an interdisciplinary network of researchers that share a common interest in investigating communicative failures with a particular view towards robotic speech interfaces; secondly, to gain a partial overview of the "failure landscape" as experienced by roboticists and HRI researchers; and thirdly, to determine the potential for creating a robotic benchmark scenario for testing future speech interfaces with respect to the identified failures. The present article summarizes both the "failure landscape" surveyed during the workshop as well as the outcomes of the attempt to define a benchmark scenario.
本文总结了首次研讨会的架构和成果。此次研讨会旨在召集一小群从两个互补视角研究沟通失误问题的跨学科研究人员。其中一组以技术为导向的研究人员包括机器人专家、人机交互（HRI）研究人员和对话系统专家。第二组则有来自会话分析、认知科学和语言学领域的专家。两组研究人员的共同信念是，人机之间的沟通失败问题需要得到重视，并且对这类失败进行系统分析可能会为超越当前实践以改进此类系统（包括以语音为中心的和多模态界面）的研究开辟富有成果的途径。本次研讨会是这一努力的起点。研讨会的目标有三个：第一，建立一个跨学科研究人员网络，他们对研究沟通失败问题有着共同兴趣，尤其关注机器人语音界面；第二，对机器人专家和人机交互研究人员所经历的“失败图景”有一个部分性的总体认识；第三，确定针对已识别的失败情况创建一个用于测试未来语音界面的机器人基准场景的可能性。本文总结了研讨会期间所调查的“失败图景”以及定义基准场景的尝试结果。
