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Designing Speech, Acoustic and Multimodal Interactions

Published: 06 May 2017 Publication History

Abstract

Traditional interfaces are continuously being replaced by mobile, wearable, or pervasive interfaces. Yet when it comes to the input and output modalities enabling our interactions, we have yet to fully embrace some of the most natural forms of communication and information processing that humans possess: speech, language, gestures, thoughts. Very little HCI attention has been dedicated to designing and developing spoken language, acoustic-based, or multimodal interaction techniques, especially for mobile and wearable devices. In addition to the enormous, recent engineering progress in processing such modalities, there is now sufficient evidence that many real-life applications do not require 100% accuracy of processing multimodal input to be useful, particularly if such modalities complement each other. This multidisciplinary, one-day workshop will bring together interaction designers, usability researchers, and general HCI practitioners to analyze the opportunities and directions to take in designing more natural interactions especially with mobile and wearable devices, and to look at how we can leverage recent advances in speech, acoustic, and multimodal processing.

References

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Aylett, M. et al. (2014). None of a CHInd: relationship counselling for HCI and speech technology. In Alt.CHI '14
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Business Insider (2012). Frankly, It's Concerning that Apple is Still Advertising A Product as Flawed as Siri. http://www.businessinsider.com, 2012.
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Gizmodo (2011). Siri is Apple's Broken Promise. http://www.gizmodo.com, 2011.
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Munteanu, C. et al. (2006). Automatic speech recognition for webcasts: how good is good enough and what to do when it isn't. Proc. of ICMI.
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Munteanu, C. and Penn, G. (2016). Speech-based interaction. Course, CHI 2011, 2012, 2013, 2014, 2015, 2016
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Munteanu, C. et al. (2013). We need to talk: HCI and the delicate topic of speech-based interaction. Panel, ACM SIGCHI 2013.
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Munteanu, C. et al (2016). Designing Spoken Language Interaction. CHI 2014 & 2016 Workshops
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Oviatt, S. (2003). Advances in Robust Multimodal Interface Design. IEEE Comput. Graph. Appl. 23--5.
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Penn, G. and Zhu, X. (2008). A critical reassessment of evaluation baselines for speech summarization. In Proc. of ACL-HLT.

Cited By

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  • (2023)Is CUI Design Ready Yet? A Workshop on Community Practices and Gaps in CUI Design & Resource DevelopmentProceedings of the 5th International Conference on Conversational User Interfaces10.1145/3571884.3597440(1-5)Online publication date: 19-Jul-2023
  • (2023)What’s The Talk on VUI Guidelines? A Meta-Analysis of Guidelines for Voice User Interface DesignProceedings of the 5th International Conference on Conversational User Interfaces10.1145/3571884.3597129(1-16)Online publication date: 19-Jul-2023
  • (2023)Using a Social Robot as a Hotel Assessment ToolCompanion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3568294.3580054(117-121)Online publication date: 13-Mar-2023
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  1. Designing Speech, Acoustic and Multimodal Interactions

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    cover image ACM Conferences
    CHI EA '17: Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems
    May 2017
    3954 pages
    ISBN:9781450346566
    DOI:10.1145/3027063
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    New York, NY, United States

    Publication History

    Published: 06 May 2017

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    Author Tags

    1. acoustic interaction
    2. acoustic processing
    3. language interaction
    4. mobile devices
    5. multimodal interaction
    6. natural language processing
    7. natural user interfaces
    8. speech interaction
    9. speech recognition
    10. wearable interaction

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    CHI EA '17 Paper Acceptance Rate 1,000 of 5,000 submissions, 20%;
    Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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    Cited By

    View all
    • (2023)Is CUI Design Ready Yet? A Workshop on Community Practices and Gaps in CUI Design & Resource DevelopmentProceedings of the 5th International Conference on Conversational User Interfaces10.1145/3571884.3597440(1-5)Online publication date: 19-Jul-2023
    • (2023)What’s The Talk on VUI Guidelines? A Meta-Analysis of Guidelines for Voice User Interface DesignProceedings of the 5th International Conference on Conversational User Interfaces10.1145/3571884.3597129(1-16)Online publication date: 19-Jul-2023
    • (2023)Using a Social Robot as a Hotel Assessment ToolCompanion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3568294.3580054(117-121)Online publication date: 13-Mar-2023
    • (2022)Addressing Hiccups in Conversations with Recommender SystemsProceedings of the 2022 ACM Designing Interactive Systems Conference10.1145/3532106.3533491(1243-1259)Online publication date: 13-Jun-2022
    • (2021)Let’s Talk About CUIs: Putting Conversational User Interface Design Into PracticeExtended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411763.3441336(1-6)Online publication date: 8-May-2021
    • (2020)Usable and Acceptable Response Delays of Conversational Agents in Automotive User Interfaces12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3409120.3410651(262-269)Online publication date: 21-Sep-2020
    • (2020)Alexa, How Do I Build a VUI Curriculum?Proceedings of the 2nd Conference on Conversational User Interfaces10.1145/3405755.3406137(1-3)Online publication date: 22-Jul-2020
    • (2020)CUI@CHI: Mapping Grand Challenges for the Conversational User Interface CommunityExtended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3334480.3375152(1-8)Online publication date: 25-Apr-2020
    • (2020)Exploring crossmodal perceptual enhancement and integration in a sequence-reproducing task with cognitive primingJournal on Multimodal User Interfaces10.1007/s12193-020-00326-y15:1(45-59)Online publication date: 13-Jul-2020
    • (2020)Voice Interaction for Training: Opportunities, Challenges, and Recommendations from HCI PerspectiveLearning and Collaboration Technologies. Human and Technology Ecosystems10.1007/978-3-030-50506-6_6(59-75)Online publication date: 19-Jul-2020
    • Show More Cited By

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