A Fresh Look at Human-Machine Interaction

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By Lian Jye Su | 2Q 2019 | IN-5504


Rapid Growth in Edge Devices Creates Demand for Better Human-Machine Interface Solutions


The majority of Artificial Intelligence (AI) use cases in edge devices focus on human-machine interaction. Based on ABI Research’s market data Artificial Intelligence and Machine Learning (MD-AIML-103), edge devices that use AI for human-machine interaction will grow from 1.2 billion in 2017 to 5 billion by 2024. The popularity of voice assistants in smartphones and smart home speakers validates the importance of speech and text as the de facto interaction method between human and machine.

This has sparked great advancements in Natural Language Processing (NLP). At Google I/O 2018, the company demonstrated Duplex, a conversational AI system available on Google Pixel phones that can mimic human conversation and perform various tasks, such as booking restaurant reservations and scheduling appointments. A year later, thanks to its acquisition of NLP startup Semantic Machines, Microsoft showcased Cortana at Build 2019 with the capability of holding a natural conversation by assimilating and presenting conte…

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