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Updated: Jul 12, 2025

A Familiarization Protocol Facilitates the Participation of Children with ASD in Electrophysiological Research

A Familiarization Protocol Facilitates the Participation of Children with ASD in Electrophysiological Research

Published on: July 31, 2017

一个与chatGPT连接的社交机器人,以改善ASD受试者的认知功能

Francesca Bertacchini^1,2, Francesco Demarco^2,3, Carmelo Scuro^2,3

¹Department of Mechanical, Energy and Management Engineering, University of Calabria, Rende, Italy.

Frontiers in psychology

|October 23, 2023

概括

这项研究探讨了在神经发育障碍 (NDD) 中使用社交机器人与人工智能进行实时对话. 这项技术在评估和监测方面表现有前途,有助于患有自闭症谱系障碍等疾病的人.

科学领域:

医疗保健中的机器人和人工智能
神经发育障碍研究研究神经发育障碍
人与机器人的交互

背景情况:

神经发育障碍 (NDD) 对家庭和医疗保健系统造成重大负担.
像人工智能和数字解决方案这样的新兴技术为NDD评估,监测和治疗提供了潜力.
在验证这些技术对NDD的有效性,可行性和接受性方面仍然存在挑战.

研究的目的:

展示与OpenAI的聊天-GPT集成的社交机器人的应用,以实时启动对话.
使用这项技术,探索自闭症谱系障碍 (ASD) 患者的模拟互动场景.
概述系统架构,并讨论NDD技术进步的未来实施方案.

主要方法:

使用连接到OpenAI系统 (Chat-GPT) 的Pepper社交机器人.
开发一个实时对话启动的系统架构.
模拟自闭症谱系障碍患者的互动场景.

主要成果:

通过人工智能证明了社交机器人和用户之间实时对话启动的可行性.
提出了模拟场景,展示了ASD患者的潜在应用.
概述了系统限制和潜在的未来发展.

结论:

社交机器人与高级人工智能相结合,如Chat-GPT,为吸引个人参与NDD提供了一种新的方法.
进一步的研究和开发对于实现这些相互连接的系统在NDD支持方面的全部潜力至关重要.
这项技术可以为NDD的评估,监测和治疗干预措施的进步做出重大贡献.

关键词:

自闭症谱系障碍自闭症谱系障碍自闭症谱系障碍教育场景教育场景面部情绪识别面部情绪识别神经发育障碍神经发育障碍身体残疾是身体上的残疾.社会机器人社会机器人

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