We present a series of two studies conducted to understand user's affective states during voice-based human-machine interactions. Emphasis is placed on the cases of communication errors or failures. In particular, we are interested in understanding "confusion" in relation with other affective states. The studies consist of two types of tasks: (1) related to communication with a voice-based virtual agent: speaking to the machine and understanding what the machine says, (2) non-communication related, problem-solving tasks where the participants solve puzzles and riddles but are asked to verbally explain the answers to the machine. We collected audio-visual data and self-reports of affective states of the participants. We report results of two studies and analysis of the collected data. The first study was analyzed based on the annotator's observation, and the second study was analyzed based on the self-report.
Toward a Realistic Encoding Model of Auditory Affective Understanding in the Brain
School of Computer Science and Engineering, Beihang University（北京航空航天大学计算机科学与工程学院）；School of Artificial Intelligence, Beihang University（北京航空航天大学人工智能学院）；Hangzhou International Innovation Institute, Beihang University（北京航空航天大学杭州国际创新研究院）；Key laboratory of Mathematics, Informatics and Behavioral Semantics, Beihang University（北京航空航天大学数学、信息学与行为语义重点实验室）；Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing, Beihang University（北京未来区块链与隐私计算先进创新中心）；Zhongguancun Laboratory, Beijing（中关村实验室）；State Key Laboratory of Complex & Critical Software Environment, Beihang University（北京航空航天大学复杂与关键软件环境国家重点实验室）；Institute of Trustworthy Artificial Intelligence, Zhejiang Normal University（浙江师范大学可信人工智能研究院）；Institute of Medical Artificial Intelligence, Binzhou Medical University（滨州医学院医学人工智能研究院）；Beijing Academy of Blockchain and Edge Computing, Beijing（北京区块链与边缘计算研究院）
An Educational Human Machine Interface Providing Request-to-Intervene Trigger and Reason Explanation for Enhancing the Driver's Comprehension of ADS's System Limitations
Graduate School of Science and Technology, Nara Institute of Science and Technology（奈良先端科学技术大学院大学科学技术研究科）；Japan Automobile Research Institute（日本汽车研究所）
Feeling Machines: Ethics, Culture, and the Rise of Emotional AI
Fraunhofer IPK（弗劳恩霍夫生产系统与设计技术研究所）；TU Berlin（柏林工业大学）；Université Sorbonne Paris Nord（索邦巴黎北大学）；University of Augsburg（奥格斯堡大学）；EM Lyon Business School（里昂商学院）；EPITA（法国巴黎计算机及自动化学院）；Università di Pisa（比萨大学）；University of Bamberg（班贝格大学）；Universidad Central de Venezuela（委内瑞拉中央大学）；RWTH Aachen University（亚琛工业大学）；Harz University of Applied Sciences（哈茨应用技术大学）；University of Passau（帕绍大学）；SCAI, Sorbonne Université（索邦大学人工智能中心）；University of Hamburg（汉堡大学）；Osnabrueck University（奥斯纳布吕克大学）；ICM, LIP6 UMR 7606 CNRS（法国国家科学研究中心皮埃尔和玛丽居里大学计算机科学实验室）；Sorbonne Université（索邦大学）
