# DataPop: Knowledge Base Population using Distributed Voice Enabled   Devices

**Authors:** Elena Montes, Monique Shotande, Daniel Helm, Christan Grant

arXiv: 1907.00146 · 2019-07-02

## TL;DR

This paper introduces DataPop, a voice-enabled, multi-device game leveraging Amazon Alexa to crowdsource data for knowledge base population, enhancing efficiency through synchronized, game-based voice interactions.

## Contribution

It presents a novel game-based approach using voice interfaces for crowd-sourced data curation to improve knowledge base population.

## Key findings

- Enhanced data collection speed via voice interaction
- Synchronized multi-device gaming improves user engagement
- Effective crowd-sourcing through a trivia game format

## Abstract

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.

## Full text

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## Figures

4 figures with captions in the complete paper: https://tomesphere.com/paper/1907.00146/full.md

## References

14 references — full list in the complete paper: https://tomesphere.com/paper/1907.00146/full.md

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Source: https://tomesphere.com/paper/1907.00146