Moore, R.K. orcid.org/0000-0003-0065-3311 (2016) Is spoken language all-or-nothing? Implications for future speech-based human-machine interaction. In: Lecture Notes in Electrical Engineering. IWSDS 2016, 13/01/2016 - 16/01/2016, Saariselkä, Finland. Springer Verlag , pp. 281-291. ISBN 9789811025846
Abstract
Recent years have seen significant market penetration for voice-based personal assistants such as Apple’s Siri. However, despite this success, user take-up is frustratingly low. This article argues that there is a habitability gap caused by the inevitablemismatch between the capabilities and expectations of human users and the features and benefits provided by contemporary technology. Suggestions aremade as to how such problems might be mitigated, but a more worrisome question emerges: “is spoken language all-or-nothing”? The answer, based on contemporary views on the special nature of (spoken) language, is that there may indeed be a fundamental limit to the interaction that can take place between mismatched interlocutors (such as humans and machines). However, it is concluded that interactions between native and non-native speakers, or between adults and children, or even between humans and dogs, might provide critical inspiration for the design of future speech-based human-machine interaction.
Metadata
Item Type: | Proceedings Paper |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2017 Springer Science+Business Media Singapore. This is an author produced version of a paper subsequently published in JOURNAL. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Spoken language; Habitability gap; Human-machine interaction |
Dates: |
|
Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 11 Apr 2017 13:38 |
Last Modified: | 25 Dec 2017 01:38 |
Published Version: | https://doi.org/10.1007/978-981-10-2585-3_22 |
Status: | Published |
Publisher: | Springer Verlag |
Refereed: | Yes |
Identification Number: | 10.1007/978-981-10-2585-3_22 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:114360 |