Towards attention monitoring of older adults with cognitive impairment during interaction with an embodied conversational agent

2015 3rd IEEE VR International Workshop on Virtual and Augmented Assistive Technology (VAAT) Pub Date : 2015-03-23 DOI:10.1109/VAAT.2015.7155406

P. Wargnier, Adrien Malaisé, Julien Jacquemot, Samuel Benveniste, P. Jouvelot, Maribel Pino, A. Rigaud

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引用次数: 17

Abstract

Embodied conversational agents (ECAs) are virtual characters using verbal and non-verbal communication for Human-machine interaction. The aim of our research is to create an ECA-based user interface for assistive technologies targeting older adults with cognitive impairment. Our design methodology is a co-design living lab approach, collecting design guidelines through questionnaires, focus groups and user trials. In this paper, we report on the results of the first phase of this iterative design process. We developed Louise, a semi-automatic ECA prototype that aims to compensate, through attention monitoring, for a user's attentional disorders by performing autonomous prompting, i.e., calling the user to regain his or her attention in case he or she got distracted. We evaluated the performance of Louise with a group of experts in assistive technologies and collected their feedback. Louise's simple attention estimator is more than 80% accurate. The system got quite positive reviews from users.

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老年认知障碍患者与具身会话主体互动时的注意力监测

具身会话代理(eca)是一种使用语言和非语言进行人机交互的虚拟角色。我们研究的目的是为有认知障碍的老年人创建一个基于eca的辅助技术用户界面。我们的设计方法是一种共同设计的生活实验室方法，通过问卷调查、焦点小组和用户试验收集设计指南。在本文中，我们报告了这种迭代设计过程的第一阶段的结果。我们开发了Louise，一个半自动的ECA原型，旨在通过注意力监测来补偿用户的注意力障碍，通过执行自主提示，即，在用户分心的情况下，呼叫用户重新获得他或她的注意力。我们与一组辅助技术专家一起评估了路易丝的表现，并收集了他们的反馈。露易丝简单的注意力估计准确率超过80%。该系统得到了用户的积极评价。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2015 3rd IEEE VR International Workshop on Virtual and Augmented Assistive Technology (VAAT)

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