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

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      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

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            Author and article information

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

            Dublin, Ireland
            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
            Product
            Product Information: 1477-9358BCS Learning & Development
            Self URI (journal page): https://ewic.bcs.org/
            Categories
            Electronic Workshops in Computing

            REFERENCES

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            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

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            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
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              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

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