Introducing the Talk Markup Language (TalkML):Adding a little social intelligence to industrial speech interfaces
Peter Wallis

TL;DR
This paper introduces TalkML, a language inspired by social and conversational principles, to improve speech interfaces by embedding social intelligence and simplifying interaction scripting.
Contribution
It presents TalkML, a novel markup language that incorporates social and conversational insights to enhance speech interface design and user satisfaction.
Findings
Significantly improved user satisfaction with TalkML-based interfaces.
Simplified scripting of speech interactions through default behaviors.
Enhanced handling of no input and unrecognized speech events.
Abstract
Virtual Personal Assistants like Siri have great potential but such developments hit the fundamental problem of how to make computational devices that understand human speech. Natural language understanding is one of the more disappointing failures of AI research and it seems there is something we computer scientists don't get about the nature of language. Of course philosophers and linguists think quite differently about language and this paper describes how we have taken ideas from other disciplines and implemented them. The background to the work is to take seriously the notion of language as action and look at what people actually do with language using the techniques of Conversation Analysis. The observation has been that human communication is (behind the scenes) about the management of social relations as well as the (foregrounded) passing of information. To claim this is one…
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Taxonomy
TopicsSpeech and dialogue systems · AI in Service Interactions · Social Robot Interaction and HRI
