DataPop: Knowledge Base Population using Distributed Voice Enabled Devices
This addresses data population for knowledge bases using voice technology, but it is incremental as it applies existing voice interfaces to a new gaming context.
The paper tackles the problem of populating knowledge bases by introducing a voice-enabled trivia game on Amazon Echo devices, which allows users to compete and fill data gaps, resulting in efficient data curation through distributed voice interfaces.
Data scientists are constantly creating methods to efficiently and accurately populate big data sets for use in large-scale applications. Many recent efforts utilize crowd-sourcing and textual interfaces. In this paper, we propose a new method of curating data; namely, creating a multi-device Amazon Alexa Skill in the form of a research trivia game. Users experience a synchronized gaming experience with other Amazon Echo users, competing against one another while filling in gaps of a connected knowledge base. This allows for full exploitation of the speed improvement offered by voice interface technology in a game-based format.