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Human Speakers Help Machine Listeners To account For Visual Asymmetries in Dialogue.

, , , , , and . CUI, page 9:1-9:13. ACM, (2023)

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Human Speakers Help Machine Listeners To account For Visual Asymmetries in Dialogue., , , , , and . CUI, page 9:1-9:13. ACM, (2023)A Special Interest Group on Designed and Engineered Friction in Interaction., , , , , , and . CHI Extended Abstracts, page 158:1-158:4. ACM, (2021)RoomReader: A Multimodal Corpus of Online Multiparty Conversational Interactions., , , , , and . LREC, page 2517-2527. European Language Resources Association, (2022)The State of Speech in HCI: Trends, Themes and Challenges., , , , , , , , , and . CoRR, (2018)What Makes a Good Conversation?: Challenges in Designing Truly Conversational Agents., , , , , , , , , and 2 other author(s). CHI, page 475. ACM, (2019)What's in an accent?: the impact of accented synthetic speech on lexical choice in human-machine dialogue., , , , , , , and . CUI, page 23:1-23:8. ACM, (2019)Listening to the Voices: Describing Ethical Caveats of Conversational User Interfaces According to Experts and Frequent Users., , , , , , , , , and 2 other author(s). CHI, page 307:1-307:18. ACM, (2024)