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ITR: Managing human attention

ITR: Managing human attention
ITR:管理人类注意力
批准号:
0325351
负责人:
Robert Kraut
金额:
$200.0万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2003
资助国家:
美国
项目状态:
已结题
起止时间:
2003-11-01 至 2008-10-31

项目摘要

项目成果

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中文摘要
翻译
至少从20世纪初开始,信息和通信的供应增长速度就超过了我们消费它的能力。从信息生产者的角度来看,很多信息被浪费了,因为这些信息没有到达与之相关的人手中。对于消费者来说,过剩的信息使他们越来越难以找到相关的、有用的或令人愉快的信息。这种“注意力缺乏”也出现在人际交往领域,非正式和自发的互动是管理和专业工作的一个标志,会产生干扰和过载。在这个项目中,PI和他的团队将开发、整合和使用社会心理学、计算机科学、经济学和交互设计的原理,设计出在交流丰富的环境中节省注意力的方法。具体来说,他们将开发、部署和评估技术,以调解在执行一项主要任务(如驾驶汽车或采访客户)时,响应大量通信请求的经常竞争的需求,这些请求争夺注意力。为此,PI团队将使用传感技术和机器学习技术来识别工人当前的任务和可中断程度。他们会向一部分沟通伙伴展示团队成员的可用性,并利用经济学和社会心理学的原理来平衡对员工注意力的竞争性需求。他们还将使用在交互设计中开发的原则来构建轻量级的外围显示和上下文感知交互技术,这些技术允许人们在不干扰其主要任务的情况下简要而简单地理解信息。虽然所制定的原则和技术将适用于许多领域,但该项目将利用具体情况进行开发和测试,即提高照顾老年人的流动保健工作者的沟通效率。PI团队由一名社会心理学家、一名计算机科学家和一名设计师组成,他们之前曾单独或联合研究过人类注意力问题;该项目的一部分内容将涉及整合正在进行的研究成果。更广泛的影响:管理注意力和信息超载的问题在我们日益联系和技术的社会是普遍存在的。解决这些问题的原则和具体技术的发展可能会带来巨大的好处,并在老年人护理领域之外产生广泛的影响。此外,对该项目的目标领域——流动老年护理工作者——的支持为迅速老龄化的人口提供了直接社会效益的潜力。该项目将有助于更好地理解设计原则,以节省注意力,原型开发,以及模型的实验室和现场测试,所有这些都将有助于节省最宝贵的人力资源-我们的注意力。
英文摘要
Since at least the early 1900s, the supply of information and communication has been growing faster than our ability to consume it. From the information producers' viewpoint, much information is wasted, in the sense that it doesn't reach those to whom it is relevant. For the consumer, the glut of information makes it increasingly difficult to find what is relevant, useful or enjoyable. This "poverty of attention" also occurs in the domain of interpersonal communication, where informal and spontaneous interaction, a hallmark of managerial and professional work, generates interruptions and overload. In this project, the PI and his team will develop, integrate and use principles from social psychology, computer science, economics, and interaction design to devise ways of economizing on attention in a communication rich environment. Specifically, they will develop, deploy and evaluate techniques to mediate among the often competing demands of responding to a barrage of communication requests that compete for attention when performing a primary task, such as driving a car or interviewing a client. To do so, the PI team will use sensing technology and machine learning techniques to identify a worker's current task and degree of interruptibility. They will display team members' availability to a subset of communication partners and use principles developed in economics and social psychology to balance the competing demands on the worker's attention. They will also use principles developed in interaction design to build lightweight, peripheral displays and context-aware interaction techniques that allow people to briefly and simply comprehend information without disrupting their primary task. Although the principles and techniques developed will be applicable across many domains, this project will make use of a specific context for development and testing, namely improving communication efficiency of mobile health care workers caring for the elderly. The PI team consists of a social psychologist, a computer scientist, and a designer, who have been working previously both individually and jointly on problems of human attention; part of this project will involve integrating results from research efforts already underway. Broader Impacts: Issues of managing attention and information overload are pervasive in our increasingly connected and technological society. Development of principles and specific techniques for addressing these issues has the potential for large benefit and widespread impact beyond the eldercare domain. In addition, support for the project's target domain - mobile eldercare workers - offers the potential of direct social benefit to a rapidly aging population. The project will lead to better understanding of design principles for economizing on attention, to prototype development, and to lab and field testing of the models, all of which will help save on the most precious of human resources - our attention.
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RAPID: Collaborative Research: Social interactions. social connectedness, and health outcomes during the COVID-19 pandemic
  • 批准号:
    2030074
  • 项目类别:
    Standard Grant
  • 资助金额:
    $17.4万
  • 财政年份:
    2020
  • 负责人:
    Robert Kraut
  • 依托单位:
IBSS-L: Developing, Testing, and Designing from a Computational Theory of Online Communities
  • 批准号:
    1620319
  • 项目类别:
    Standard Grant
  • 资助金额:
    $92.0万
  • 财政年份:
    2016
  • 负责人:
    Robert Kraut
  • 依托单位:
SCH: INT: Collaborative Research: FITTLE+: Theory and Models for Smartphone Ecological Momentary Intervention
  • 批准号:
    1344768
  • 项目类别:
    Standard Grant
  • 资助金额:
    $79.86万
  • 财政年份:
    2013
  • 负责人:
    Robert Kraut
  • 依托单位:
Collaborative Research: Supporting Newcomer Socialization in Online Production Communities
  • 批准号:
    1111166
  • 项目类别:
    Standard Grant
  • 资助金额:
    $44.88万
  • 财政年份:
    2011
  • 负责人:
    Robert Kraut
  • 依托单位:
海外基金