Field evaluation with cognitively-impaired older adults of attention management in the Embodied Conversational Agent Louise

P. Wargnier, G. Carletti, Yann Laurent-Corniquet, Samuel Benveniste, P. Jouvelot, A. Rigaud
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引用次数: 31

Abstract

We present the first experiment we conducted to evaluate the attention monitoring performance of Louise, following a Wizard of Oz method, during the interactions with a cohort of 8 elderly users in a day hospital environment. Louise is a new, semi-automatic prototype of an Embodied Conversational Agent (ECA), a virtual character interacting with users through social-like communication, adapted to the special needs of older adults with cognitive impairment; it is intended to ultimately provide assistance in their activities of daily living. We recorded and analyzed both videos of the conversation-like interactions and Louise's tracking data. In our experiment, Louise's attention estimation algorithm achieved about 80% accuracy; moreover, in almost all cases, the user's attention was successfully recaptured by Louise after a planned, experimenter-induced distraction. These results are in line with what was observed in previous experiments involving only younger adults, thus suggesting that attention measurement tools embedded in cognitive prostheses will not need to be adapted to elderly patients. Finally, to gain further insights on conversation management and provide evidence-based suggestions for future work, we performed an anthropological analysis of the whole experiment.
认知障碍老年人在具身会话代理路易斯中的注意力管理的实地评价
我们展示了我们进行的第一个实验,以评估路易斯的注意力监测性能,遵循绿野仙踪的方法,在日间医院环境中与8名老年用户进行互动。Louise是一种新的、半自动的具身对话代理(ECA)原型,一种通过社交式交流与用户互动的虚拟角色,适合有认知障碍的老年人的特殊需求;它的目的是最终为他们的日常生活活动提供帮助。我们记录并分析了对话式互动的视频和露易丝的跟踪数据。在我们的实验中,Louise的注意力估计算法达到了80%左右的准确率;此外,在几乎所有情况下,路易丝都是在经过有计划的、实验者诱导的分散注意力后,成功地重新吸引了用户的注意力。这些结果与之前仅涉及年轻人的实验结果一致,因此表明嵌入认知假体的注意力测量工具不需要适用于老年患者。最后,为了进一步了解对话管理并为未来的工作提供基于证据的建议,我们对整个实验进行了人类学分析。
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