Keeping the Internet Open with an Open-Source Virtual Assistant

被引:1
|
作者
Lam, Monica S. [1 ]
机构
[1] Stanford Univ, Dept Comp Sci, Stanford, CA 94305 USA
关键词
Natural language interface; privacy; Internet of Things;
D O I
10.1145/3241539.3241586
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Virtual assistants, such as Alexa, Google Home, and Siri, are revolutionizing our digital life. In the future, they will provide us with a uniform, fully personalized, natural language interface to all our diverse data sources, web services and IoT devices. The virtual assistant will become a powerful platform as it sees all our personal data and has great influence over the services and vendors we use. We propose a collaborative research effort to develop open-source virtual assistant technology, in concert with a commercially viable distributed infrastructure that safeguards users' data privacy, supports interoperability, and promotes open competition. To jumpstart this effort, we have developed Almond, a working open-source prototype of distributed virtual assistants. Almond lets users use natural language to share their data, IoT, and services with fine-grain control, while preserving their privacy by keeping data on their own devices. Almond also lets users issue advanced commands that monitor real-time events and connect multiple services together. This research lays the groundwork for the creation of three key open, non-proprietary, collaborative virtual assistant resources: (1) Thingpedia, a repository of virtual assistant skills, (2) LUInet (Linguistic User Interface Network), a neural network that translates natural language into ThingTalk, a virtual assistant programming language, and (3) a Distributed ThingTalk Protocol, DTP, that supports sharing with privacy via cooperating virtual assistants.
引用
收藏
页码:145 / 146
页数:2
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