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Estimating response obligation in multi-party human-robot dialogues., , , and . Humanoids, page 166-172. IEEE, (2015)Adjusting Occurrence Probabilities of Automatically-Generated Abbreviated Words in Spoken Dialogue Systems., , , and . IEA/AIE, volume 5579 of Lecture Notes in Computer Science, page 481-490. Springer, (2009)Question Selection Based on Expected Utility to Acquire Information Through Dialogue., , , and . IWSDS, volume 427 of Lecture Notes in Electrical Engineering, page 79-91. Springer, (2016)Breaking Down Silos: Involving Various Researchers for Driving HCI Research., , , , , , , , , and 6 other author(s). CHI Extended Abstracts, page 837-847. ACM, (2017)An improvement in automatic speech recognition using soft missing feature masks for robot audition., , , , and . IROS, page 964-969. IEEE, (2010)Making a robot recognize three simultaneous sentences in real-time., , , , , , , and . IROS, page 4040-4045. IEEE, (2005)Unsupervised Segmentation of Phoneme Sequences based on Pitman-Yor Semi-Markov Model using Phoneme Length Context., and . IJCNLP(1), page 243-252. Asian Federation of Natural Language Processing, (2017)Domain-independent spoken dialogue platform using key-phrase spotting based on combined language model., , , and . INTERSPEECH, page 1319-1322. ISCA, (2001)Generating effective confirmation and guidance using two-level confidence measures for dialogue systems., and . INTERSPEECH, page 648. ISCA, (2000)Transformer-Based Physiological Feature Learning for Multimodal Analysis of Self-Reported Sentiment., , and . ICMI, page 349-358. ACM, (2022)