Quantative measures of social response for autism diagnosis
自闭症诊断社会反应的定量测量
基本信息
- 批准号:0534610
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2005
- 资助国家:美国
- 起止时间:2005-11-15 至 2009-10-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Autism is a pervasive developmental disorder that is characterized by a severe set of social and communicative deficits. Autism is diagnosed behaviorally; there is no known blood test, genetic test, or functional imaging method that can diagnose autism. Existing diagnostic methods provide primarily qualitative descriptions of dysfunctional social skills. Given the need to capitalize on early brain plasticity and thus maximize the beneficial impacts of intervention, there is a great need for novel, sensitive and quantified performance-based measurements of social vulnerabilities in young children with autism.The goal of this project is to enhance methods for diagnosing autism by providing technology that can produce quantitative, objective measurements of social response from both passive and interactive recognition techniques. Passive recognition systems characterize social responses without directly taking part in the social interaction (for example, from cameras and microphones in the walls and ceiling of a room). Interactive robots will engage in social presses with an individual in the interest of eliciting a social response that can be measured directly. Preliminary data shows that these interactive systems can provide measurements which are free of subjective bias, which can be tailored to the needs of an individual, and which generate interest and motivation in many children with autism.
自闭症是一种广泛性发育障碍,其特征是严重的社交和沟通缺陷。自闭症是通过行为来诊断的;没有已知的血液测试,基因测试或功能成像方法可以诊断自闭症。 现有的诊断方法主要提供功能失调的社会技能的定性描述。由于需要利用早期大脑可塑性,从而最大限度地发挥干预的有益影响,因此非常需要新颖,敏感和量化的自闭症幼儿社会脆弱性测量。该项目的目标是通过提供能够产生定量,从被动和互动识别技术的社会反应的客观测量。 被动识别系统在不直接参与社交互动的情况下(例如,来自房间墙壁和天花板上的摄像机和麦克风)表征社交反应。 交互式机器人将与个人一起参与社会压力,以引起可以直接测量的社会反应。 初步数据表明,这些互动系统可以提供测量,这是免费的主观偏见,这可以根据个人的需要,并产生兴趣和动机,在许多自闭症儿童。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Brian Scassellati其他文献
Time-dependant Bayesian knowledge tracing—Robots that model user skills over time
随时间变化的贝叶斯知识追踪——随着时间的推移对用户技能进行建模的机器人
- DOI:
10.3389/frobt.2023.1249241 - 发表时间:
2024 - 期刊:
- 影响因子:3.4
- 作者:
Nicole Salomons;Brian Scassellati - 通讯作者:
Brian Scassellati
RoSI: A Model for Predicting Robot Social Influence
RoSI:预测机器人社交影响力的模型
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:5.1
- 作者:
H. Erel;Marynel Vázquez;S. Sebo;Nicole Salomons;Sarah Gillet;Brian Scassellati - 通讯作者:
Brian Scassellati
Stage # 1 : Mutual Gaze Stage # 2 : Gaze Following Stage # 4 : Declarative Pointing Stage # 3 : Imperative Pointing
阶段
- DOI:
10.7551/mitpress/1624.003.0012 - 发表时间:
1998 - 期刊:
- 影响因子:0
- 作者:
Brian Scassellati - 通讯作者:
Brian Scassellati
Toward Measuring the Effect of Robot Competency on Human Kinesthetic Feedback in Long-Term Task Learning
衡量长期任务学习中机器人能力对人类动觉反馈的影响
- DOI:
- 发表时间:
- 期刊:
- 影响因子:0
- 作者:
Shuangge Wang;Brian Scassellati;Tesca Fitzgerald - 通讯作者:
Tesca Fitzgerald
Breathe Easy: Harnessing Robots for Stress Reduction During Pediatric Oral Challenges
轻松呼吸:利用机器人减轻儿童口腔治疗过程中的压力
- DOI:
10.1016/j.jaci.2024.12.156 - 发表时间:
2025-02-01 - 期刊:
- 影响因子:11.200
- 作者:
Aiden Chun;Ellie Mamantov;Ursula Stahl;Brian Scassellati;Stephanie Leeds - 通讯作者:
Stephanie Leeds
Brian Scassellati的其他文献
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{{ truncateString('Brian Scassellati', 18)}}的其他基金
HCC: Medium: Proactive Physical Assistance for Collaborative Human-Robot Teams
HCC:中:人机协作团队的主动物理援助
- 批准号:
2106690 - 财政年份:2021
- 资助金额:
-- - 项目类别:
Standard Grant
Collaborative Research: The role of trust when learning from robots
协作研究:向机器人学习时信任的作用
- 批准号:
1955653 - 财政年份:2020
- 资助金额:
-- - 项目类别:
Standard Grant
CHS: Small: Watch One, Do One, Teach One: An Integrated Robot Architecture for Skill Transfer
CHS:小型:观看一、做一、教一:用于技能转移的集成机器人架构
- 批准号:
1813651 - 财政年份:2018
- 资助金额:
-- - 项目类别:
Standard Grant
WORKSHOP: The Pioneers Workshop at the 2017 ACM/IEEE International Conference on Human-Robot Interaction
研讨会:2017 年 ACM/IEEE 人机交互国际会议先锋研讨会
- 批准号:
1724537 - 财政年份:2017
- 资助金额:
-- - 项目类别:
Standard Grant
Collaborative Research: Socially Assistive Robots
合作研究:社交辅助机器人
- 批准号:
1139078 - 财政年份:2012
- 资助金额:
-- - 项目类别:
Continuing Grant
HCC: Small: Manipulating Perceptions of Robot Agency
HCC:小:操纵对机器人机构的看法
- 批准号:
1117801 - 财政年份:2011
- 资助金额:
-- - 项目类别:
Standard Grant
SoCS: Modeling Agency and Intentions in Dynamic Environments as a Precursor to Efficient Human-Computer Interaction
SoCS:动态环境中的代理和意图建模作为高效人机交互的先驱
- 批准号:
0968538 - 财政年份:2010
- 资助金额:
-- - 项目类别:
Standard Grant
CDI-Type I: Understanding Regulation of Visual Attention in Autism through Computational and Robotic Modeling
CDI-I 型:通过计算和机器人建模了解自闭症视觉注意力的调节
- 批准号:
0835767 - 财政年份:2008
- 资助金额:
-- - 项目类别:
Standard Grant
CAREER: Social Robots and Human Social Development
职业:社交机器人和人类社会发展
- 批准号:
0238334 - 财政年份:2003
- 资助金额:
-- - 项目类别:
Continuing Grant
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- 项目类别:青年科学基金项目
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