Paper Info
Title
Development And Application Of A Classification System For Voice Intelligent Agents
Abstract
This study proposes a classification system that classifies voice intelligent agents (VIAs) into four levels (general, parental guidance, adults-only, and restricted levels) based on both negative dimensions (six content labels and three interaction behaviors) and positive dimensions (three moral intelligence items). An experiment was conducted, and the results validate that the system can predict the classification of the VIA. Furthermore, we also found that different interaction methods have a significant influence on the classification results. The complexity of the interaction significantly lengthens task completion time, and improved evaluator satisfaction leads to different classification results. Therefore, we suggest that evaluators should use text interaction when evaluating the dimension of moral intelligence but should employ the same interaction style as the real scenario when evaluating content labels and interaction behaviors.
Year
DOI
Venue
2019
10.1080/10447318.2018.1496969
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
Field
DocType
Volume
Intelligent agent,Computer science,Human–computer interaction,Task completion
Journal
35
Issue
ISSN
Citations 
9
1044-7318
0
PageRank 
References 
Authors
0.34
6
2
Name
Order
Citations
PageRank
Xiang Ji12011.57
Rau Pei-Luen Patrick2902105.25