Been lately experimenting with the resolution of dialog with AI style analysis. Still surprising that what can be done today is still primitive, what are the key aspects of dialog understanding and resolution in context? What elements of common sense adaption to implied goals?
In the Data Driven Investor:
Making the Leap from Speech to Dialogue: The Challenge for Human to Machine Communication
Daily Wisdom
Robots are everywhere and doing virtually everything. We have even begun conversing with them in situations that are beginning to resemble interpersonal communication. Right now these spoken dialogue systems (SDS) tends to be limited to a “command-based” approach, which can be seen with a number of recently introduced commercial implementations, like Apple’s Siri for the iOS, Amazon’s Echo/Alexa, and the social robot Jibo.
The command-based approach to SDS design works reasonably well, as it predetermines much of the semantic context, communicative structure, and social variables by keeping conversational interactions within manageable boundaries. Yet, the development of more robust SDS will rely not only on advancements in engineering, but will also require better understanding and modeling of the actual mechanisms and operations of human-to-human communicative behaviors.... "
Saturday, January 12, 2019
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