The Philosophy

It is argued that language use by humans is intentional and cooperative [Tomasello, 2008], which is in conflict with the classic HCI model in which people use computer as tools and the job of the interface designer is to make the consequences of action clear and useful [Sharp et al, 2007]. One can design a voice interface to mimic links, buttons and pull-down lists [Balentine, 2007], but really natural language interfaces would do something else.

The argument [Wallis, " The Intentional Interface" 2013] is based on Daniel Dennett's observation that we humans take different stances when trying to understand the world around us [Dennett, 1987]:

HCI generally assumes the design stance (although touch screen interfaces exploit our folk physics understanding of "flicking" and "stretching") but people produce utterances that presume the recipient is using an intentional stance. Really natural language interfaces would not only handle this, but also produce the same kind of utterances.

Deep Learning is considered by many to be the answer to everything. However, all machine learning techniques have the classic problem of distinguishing between the accidental and essential. Until training corpora include data on intent, these systems will be learning the wrong thing.