  This article explores the evaluation method for the language communication
proficiency of AI-driven robots engaging in interactive communication with
children. The utilization of AI-driven robots in children's everyday
communication is swiftly advancing, underscoring the importance of evaluating
these robots'language communication skills. Based on 11 Chinese families'
interviews and thematic analysis of the comment text from shopping websites, a
framework is introduced in the article to assess five key dimensions of
child-robot language communication: interactivity, specificity, development,
sociality, and safety. We draw on the concept of "children's agency", viewing
children as active participants in shaping society and cultural life alongside
adults. Therefore, this article places particular emphasis on collecting data
related to children. Whether through survey interviews or direct interactive
experiments, we treat children as an independent object for data collection.
The study involved empirical research following the mentioned framework, which
involved capturing interaction videos in natural conversation settings among
children from 6 families. Analysis was performed on quantitative data obtained
from video recordings, alongside questionnaires and interviews carried out by
parents acting as participants or observers. We found that the presence or
absence of parents during children's interactions with robots can impact the
evaluation of robots'language communication abilities. Ultimately, this article
proposes an enhanced comprehensive evaluation framework incorporating insights
from parents and children, supported by empirical evidence and inter-rater
consistency assessments, showcasing the scheme's efficacy.
