Development and Application of a Classification System for Voice Intelligent Agents

摘要

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.