1,379
views
0
recommends
+1 Recommend
1 collections
    4
    shares

      Celebrating 65 years of The Computer Journal - free-to-read perspectives - bcs.org/tcj65

      scite_
       
      • Record: found
      • Abstract: found
      • Conference Proceedings: found
      Is Open Access

      The CogSIS Project: Examining the Cognitive Effects of Speech Interface Synthesis

      proceedings-article
      , ,
      Proceedings of the 32nd International BCS Human Computer Interaction Conference (HCI)
      Human Computer Interaction Conference
      4 - 6 July 2018
      Speech interface, voice user interface, alignment, partner model, politeness, speech synthesis
      Bookmark

            Abstract

            Speech interfaces are becoming a more common dialogue partner. With the growth of intelligent personal assistants, pervasive and wearable computing and robot-based technologies, the level of spoken interactions with technology is unprecedented. However, while the technological challenges around the production of natural synthetic voices have been widely researched, comparatively little is understood about how speech synthesis affects user experience and behaviour. The CogSIS Project examines the psychological and behavioural consequences of synthesis design decisions in human interactions with speech technology. In particular, we explore how design decisions around politeness, accent, naturalness and expressivity impact the assumptions we make about speech interfaces as communicative actors (i.e. our partner models). The project fuses knowledge, concepts and methods from psycholinguistics, experimental psychology, human-computer interaction and speech technology to 1) understand how synthesis design choices impact users’ partner models, 2) how these choices interact with partner models and impact user experience and evaluations and 3) how these choices impact users’ own language production. The project will lead to a set of theory-driven practical and actionable guidelines for speech synthesis and speech interface design.

            Content

            Author and article information

            Contributors
            Conference
            July 2018
            July 2018
            : 1-3
            Affiliations
            [0001]University College Dublin

            Dublin, Ireland
            [0002]Trinity College Dublin

            Dublin, Ireland
            Article
            10.14236/ewic/HCI2018.170
            7c4da433-bde8-4886-8316-c26c91a970ed
            © Clark et al. Published by BCS Learning and Development Ltd. Proceedings of British HCI 2018. Belfast, UK.

            This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

            Proceedings of the 32nd International BCS Human Computer Interaction Conference
            HCI
            32
            Belfast, UK
            4 - 6 July 2018
            Electronic Workshops in Computing (eWiC)
            Human Computer Interaction Conference
            History
            Product

            1477-9358 BCS Learning & Development

            Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/HCI2018.170
            Self URI (journal page): https://ewic.bcs.org/
            Categories
            Electronic Workshops in Computing

            Applied computer science,Computer science,Security & Cryptology,Graphics & Multimedia design,General computer science,Human-computer-interaction
            Speech interface,voice user interface,alignment,partner model,politeness,speech synthesis

            REFERENCES

            1. 1993 User Representations of Computer Systems in Human-computer Speech Interaction Int. J. Man-Mach. Stud. 38 4 547 566 http://doi.org/10.1006/imms.1993.1026

            2. 2014 None of a CHInd: relationship counselling for HCI and speech technology 749 760 ACM Press http://doi.org/10.1145/2559206.2578868

            3. 2011 The role of beliefs in lexical alignment: Evidence from dialogs with humans and computers Cognition 121 1 41 57 http://doi.org/10.1016/j.cognition.2011.05.011

            4. 1996 Conceptual pacts and lexical choice in conversation Journal of Experimental Psychology. Learning, Memory, and Cognition 22 6 1482 1493

            5. 1987 Politeness: Some Universals in Language Usage Cambridge University Press

            6. 2017 The Influence of Synthetic Voice on the Evaluation of a Virtual Character 229 233 ISCA http://doi.org/10.21437/Interspeech.2017-325

            7. 2016 Listen, attend and spell: A neural network for large vocabulary conversational speech recognition In 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 4960 4964 http://doi.org/10.1109/ICASSP.2016.7472621

            8. , … 2017 ‘What Can I Help You With?’: Infrequent Users’Experiences of Intelligent Personal Assistants 1 12 ACM Press http://doi.org/10.1145/3098279.3098539

            9. 1993 Wizard of Oz Studies — Why and How Intelligent User Interfaces 8

            10. 2007 Similarity is More Important Than Expertise: Accent Effects in Speech Interfaces In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems 1553 1556 New York, NY, USA ACM http://doi.org/10.1145/1240624.1240859

            11. 2017 Steering the conversation: A linguistic exploration of natural language interactions with a digital assistant during simulated driving Applied Ergonomics 63 53 61 http://doi.org/10.1016/j.apergo.2017.04.003

            12. 2016 ‘Like Having a Really Bad PA’: The Gulf Between User Expectation and Experience of Conversational Agents In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems 5286 5297 New York, NY, USA ACM http://doi.org/10.1145/2858036.2858288

            13. 2017 Beyond the Listening Test: An Interactive Approach to TTS Evaluation 249 253 ISCA http://doi.org/10.21437/Interspeech.2017-1438

            14. 2000 Does computer-generated speech manifest personality? an experimental test of similarity-attraction 329 336 ACM Press http://doi.org/10.1145/332040.332452

            15. 2017 The blizzard machine learning challenge 2017 331 337 IEEE http://doi.org/10.1109/ASRU.2017.8268954

            Comments

            Comment on this article