Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/71108

All About the Name: Assigning Demographically Appropriate Names to Data-Driven Entities

File Size Format  
0397.pdf 1.18 MB Adobe PDF View/Open

Item Summary

Title:All About the Name: Assigning Demographically Appropriate Names to Data-Driven Entities
Authors:Jung, Soon-Gyo
Salminen, Joni
Jansen, Bernard J.
Keywords:Artificial Intelligence-based Assistants
demographics
names
social media
Date Issued:05 Jan 2021
Abstract:We develop a method for assigning demographically appropriate names to data-driven entities, such as personas, chatbots, and virtual agents. The value of this method is removing the time-consuming human effort in this task. To demonstrate our method, we collect four million user profiles with gender, age, and country information from an international online social network. From this dataset, we obtain 1, 031, 667 unique names covering 3, 088 demographic group combinations that our method considers as gender, age, and nationality appropriate. A manual evaluation by raters from 34 countries shows a demographic appropriateness score of 85.6%. The demographically appropriate names can be utilized for data-driven personas, virtual agents, chatbots, and other humanized entities.
Pages/Duration:9 pages
URI:http://hdl.handle.net/10125/71108
ISBN:978-0-9981331-4-0
DOI:10.24251/HICSS.2021.491
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Artificial Intelligence-based Assistants


Please email libraryada-l@lists.hawaii.edu if you need this content in ADA-compliant format.

This item is licensed under a Creative Commons License Creative Commons