Abstract
Recent advances in software integration and efforts toward more personalization and context awareness have brought closer the long-standing vision of the ubiquitous intelligent personal assistant. This has become particularly salient in the context of smartphones and electronic tablets, where natural language interaction has the potential to considerably enhance mobile experience. Far beyond merely offering more options in terms of user interface, this trend may well usher in a genuine paradigm shift in man-machine communication. This contribution reviews the two major semantic interpretation frameworks underpinning natural language interaction, along with their respective advantages and drawbacks. It then discusses the choices made in Siri, Apple’s personal assistant on the iOS platform, and speculates on how the current implementation might evolve in the near future to best mitigate any downside.
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Bellegarda, J.R. (2014). Spoken Language Understanding for Natural Interaction: The Siri Experience. In: Mariani, J., Rosset, S., Garnier-Rizet, M., Devillers, L. (eds) Natural Interaction with Robots, Knowbots and Smartphones. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8280-2_1
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DOI: https://doi.org/10.1007/978-1-4614-8280-2_1
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