会话人工智能治疗师在家庭环境中进行日常功能筛查

Jingping Nie, Hanya Shao, Minghui Zhao, S. Xia, M. Preindl, Xiaofan Jiang
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引用次数: 3

摘要

智能设备的增长使普通家庭变得更加智能。在这项工作中,我们与治疗师合作,引入了一种基于家庭的人工智能治疗师,它利用智能家居环境来筛选居住者的日常功能并推断其心理健康状况。与现有的“聊天机器人”通过对话识别用户的心理状态不同,我们的人工智能治疗师还利用家中的智能设备和传感器来推断用户的心理健康状况,并评估用户的日常功能。我们提出了一系列37个日常功能维度,我们的系统通过与用户对话来观察,并使用遍布整个家庭的传感器和智能传感器来检测日常活动事件。我们的系统将这37个维度与新颖的自然语言处理架构相结合,以检测精神状态(例如,愤怒或抑郁)、健康和日常功能的异常情况,并在检测到异常情况时生成控制台用户的响应。通过一系列的用户研究,我们证明了我们的系统可以自然地与用户交谈,准确地检测到健康状况的异常,并提供适当的响应来安慰用户。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Conversational AI Therapist for Daily Function Screening in Home Environments
The growth of smart devices is making typical homes more intelligent. In this work, in collaboration with therapists, we introduce a home-based AI therapist that takes advantage of the smart home environment to screen the day-to-day functioning and infer mental wellness of an occupant. Unlike existing “chatbot” works that identify the mental status of users through conversation, our AI therapist additionally leverages smart devices and sensors throughout the home to infer mental well-being and assesses a user's daily functioning. We propose a series of 37 dimensions of daily functioning, that our system observes through conversing with the user and detecting daily activity events using sensors and smart sensors throughout the home. Our system utilizes these 37 dimensions in conjunction with novel natural language processing architectures to detect abnormalities in mental status (e.g., angry or depressed), well-being, and daily functioning and generate responses to console users when abnormalities are detected. Through a series of user studies, we demonstrate that our system can converse with a user naturally, accurately detect abnormalities in well-being, and provide appropriate responses consoling users.
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