Managing Complexity in Psychology Experiment Generation

管理心理学实验生成中的复杂性

基本信息

  • 批准号:
    7055089
  • 负责人:
  • 金额:
    $ 39.61万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2004
  • 资助国家:
    美国
  • 起止时间:
    2004-08-01 至 2008-04-30
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): This project will develop new technologies to advance the efficiency, power, precision, security, and ease of use of tools for psychology experiment generation. Results from proposed studies will play a pivotal role in providing the technical foundation for innovations and products that will be used in thousands of research laboratories. This will improve the research on psychological problems related to learning, mental health, development, and social interaction which in turn may benefit millions of citizens. This proposal develops methods that will allow psychological, neuroscience and clinical researchers to cope with the growing complexity of computer based-experimentation and Internet-based data collection. This project will address five key challenges related to computer-based behavioral and biological data collection. It will provide research and technical solutions including: 1) an experiment specification technology that will allow efficient creation of complex accurate computerized behavioral experiments with modest learning time for the researcher and low probability of error; 2) methods to maintain precision timing (0.1 ms) on standard personal computers even when the operating system timing is erratic and the user has limited understanding of performance tuning of the system; 3) Internet tools that allow distributed experiment management that can maintain timing precision and security across multiple sites and across firewalls with low user effort, 4) automated data management and analysis tools that can quickly be learned and connected to standard analysis streams; and 5) comprehensible integration of tutorial tools, paradigms libraries and data management. The project will develop interface, timing, communication, data management, and support technologies and extensive empirical testing of usability. The Phase I SBIR effort met the ambitious milestones and produced the first formal behavioral data published regarding usability in experiment generation. The engineering prototypes exceeded the precision requirements and lead to new methods that were the basis of a provisional patent application. The research will likely result in market-leading products that are likely to be purchased and installed in over 5000 research laboratories within five years of the start date of the Phase II effort.
项目描述(申请人提供):本项目将开发新技术,以提高心理学实验生成工具的效率、功率、精度、安全性和易用性。拟议研究的结果将在为创新和产品提供技术基础方面发挥关键作用,这些创新和产品将在数千个研究实验室中使用。这将改进对与学习、心理健康、发展和社会交往有关的心理问题的研究,从而使数百万公民受益。本提案发展的方法将使心理学、神经科学和临床研究人员能够应对日益复杂的基于计算机的实验和基于互联网的数据收集。该项目将解决与基于计算机的行为和生物数据收集相关的五个关键挑战。它将提供研究和技术解决方案,包括:1)实验规范技术,该技术将允许有效地创建复杂准确的计算机化行为实验,研究人员的学习时间有限,出错概率低;2)在标准个人计算机上保持精确定时(0.1 ms)的方法,即使操作系统定时不稳定且用户对系统性能调优的理解有限;3)允许分布式实验管理的互联网工具,可以跨多个站点和跨防火墙保持定时精度和安全性,用户只需付出很少的努力;4)自动化数据管理和分析工具,可以快速学习并连接到标准分析流;5)教学工具、范式库和数据管理的可理解集成。该项目将开发接口、定时、通信、数据管理和支持技术,并对可用性进行广泛的经验测试。第一阶段的SBIR工作达到了雄心勃勃的里程碑,并产生了关于实验生成可用性的第一个正式的行为数据。工程原型超出了精度要求,并导致了作为临时专利申请基础的新方法。这项研究可能会产生市场领先的产品,这些产品可能会在第二阶段工作开始之日起的五年内被5000多个研究实验室购买和安装。

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)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Anthony P Zuccolotto其他文献

Anthony P Zuccolotto的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Anthony P Zuccolotto', 18)}}的其他基金

Advancing and calibrating anisotropic diffusion MR imaging brain connectome with Taxon brain network diffusion phantoms
使用 Taxon 脑网络扩散模型推进和校准各向异性扩散 MR 成像脑连接组
  • 批准号:
    9893037
  • 财政年份:
    2017
  • 资助金额:
    $ 39.61万
  • 项目类别:
Advancing and calibrating anisotropic diffusion MR imaging brain connectome with Taxon brain network diffusion phantoms
使用 Taxon 脑网络扩散模型推进和校准各向异性扩散 MR 成像脑连接组
  • 批准号:
    9410059
  • 财政年份:
    2017
  • 资助金额:
    $ 39.61万
  • 项目类别:
Show-N-Tell: Computerized Assessment of Pain in Children
Show-N-Tell:儿童疼痛的计算机化评估
  • 批准号:
    7612475
  • 财政年份:
    2009
  • 资助金额:
    $ 39.61万
  • 项目类别:
Screening for Medication IQ and Managing Medication
药物智商筛查和药物管理
  • 批准号:
    7054172
  • 财政年份:
    2006
  • 资助金额:
    $ 39.61万
  • 项目类别:
Managing Complexity in Psychology Experiment Generation
管理心理学实验生成中的复杂性
  • 批准号:
    7230534
  • 财政年份:
    2004
  • 资助金额:
    $ 39.61万
  • 项目类别:
Managing Complexity in Psychology Experiment Generation
管理心理学实验生成中的复杂性
  • 批准号:
    6833699
  • 财政年份:
    2004
  • 资助金额:
    $ 39.61万
  • 项目类别:
Virtual Reality and Functional MRI to Study Drug Craving
虚拟现实和功能性 MRI 来研究药物渴望
  • 批准号:
    7407663
  • 财政年份:
    2002
  • 资助金额:
    $ 39.61万
  • 项目类别:
BEHAVIORAL SOFTWARE LABORATORY--FROM PEARL TO E-PRIME
行为软件实验室——从 PEARL 到 E-PRIME
  • 批准号:
    2714278
  • 财政年份:
    1997
  • 资助金额:
    $ 39.61万
  • 项目类别:
BEHAVIORAL SOFTWARE LABORATORY--FROM PEARL TO E-PRIME
行为软件实验室——从 PEARL 到 E-PRIME
  • 批准号:
    2890904
  • 财政年份:
    1997
  • 资助金额:
    $ 39.61万
  • 项目类别:
BEHAVIORAL SOFTWARE LABORATORY--PEARL
行为软件实验室--PEARL
  • 批准号:
    2332823
  • 财政年份:
    1997
  • 资助金额:
    $ 39.61万
  • 项目类别:

相似海外基金

Construction of a learning support system through learning behavior prediction using student modeling
使用学生建模通过学习行为预测构建学习支持系统
  • 批准号:
    23K17604
  • 财政年份:
    2023
  • 资助金额:
    $ 39.61万
  • 项目类别:
    Grant-in-Aid for Challenging Research (Exploratory)
Development of Service Process Measurement System based on Behavior Prediction in Nursing-care Service
基于行为预测的护理服务过程测量系统开发
  • 批准号:
    22K12286
  • 财政年份:
    2022
  • 资助金额:
    $ 39.61万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Collaborative Research: IMR: MM-1C: Privacy-preserving IoT Analytics and Behavior Prediction on Network Edge
合作研究:IMR:MM-1C:网络边缘上的隐私保护物联网分析和行为预测
  • 批准号:
    2219866
  • 财政年份:
    2022
  • 资助金额:
    $ 39.61万
  • 项目类别:
    Standard Grant
Collaborative Research: IMR: MM-1C: Privacy-preserving IoT Analytics and Behavior Prediction on Network Edge
合作研究:IMR:MM-1C:网络边缘上的隐私保护物联网分析和行为预测
  • 批准号:
    2219867
  • 财政年份:
    2022
  • 资助金额:
    $ 39.61万
  • 项目类别:
    Standard Grant
Object State Change Detection and Human Behavior Prediction Focused on Hand Manipulation
专注于手部操作的物体状态变化检测和人类行为预测
  • 批准号:
    21J11626
  • 财政年份:
    2021
  • 资助金额:
    $ 39.61万
  • 项目类别:
    Grant-in-Aid for JSPS Fellows
Collaborative Research: RI: Medium: Learning Joint Crowd-Space Embeddings for Cross-Modal Crowd Behavior Prediction
合作研究:RI:Medium:学习联合人群空间嵌入以进行跨模式人群行为预测
  • 批准号:
    1955365
  • 财政年份:
    2020
  • 资助金额:
    $ 39.61万
  • 项目类别:
    Standard Grant
Collaborative Research: RI: Medium: Learning Joint Crowd-Space Embeddings for Cross-Modal Crowd Behavior Prediction
合作研究:RI:Medium:学习联合人群空间嵌入以进行跨模式人群行为预测
  • 批准号:
    1955404
  • 财政年份:
    2020
  • 资助金额:
    $ 39.61万
  • 项目类别:
    Standard Grant
Behavior Prediction of Traffic Participants based on Micro and Macro features for Urban Automated Driving
城市自动驾驶基于微观和宏观特征的交通参与者行为预测
  • 批准号:
    20K04397
  • 财政年份:
    2020
  • 资助金额:
    $ 39.61万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
CAREER: Towards Fatigue Behavior Prediction of Structural Materials through Computationally-Informed Textural and Microstructural Characteristics
职业:通过计算信息的纹理和微观结构特征预测结构材料的疲劳行为
  • 批准号:
    1751591
  • 财政年份:
    2018
  • 资助金额:
    $ 39.61万
  • 项目类别:
    Standard Grant
Research on Behavior Prediction of Cylindrical Line Structure with Rotation in Flow
流动中旋转圆柱线结构行为预测研究
  • 批准号:
    18H01634
  • 财政年份:
    2018
  • 资助金额:
    $ 39.61万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了