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I-Corps: Honest Signals-Machine Learning for Job Candidate Assessment

I-Corps: Honest Signals-Machine Learning for Job Candidate Assessment
I-Corps:用于求职者评估的诚实信号-机器学习
批准号:
1511655
负责人:
David Cox
金额:
$5.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2015
资助国家:
美国
项目状态:
已结题
起止时间:
2015-01-01 至 2015-06-30

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中文摘要
翻译
最近一项关于招聘的研究表明,面试官觉得他们面试的应聘者中有80%到85%的人准备不足。这导致了职业指导和就业网站的显著增长。目前,美国失业率为6.2%,代表着970万失业人员正在寻找工作。超出这一数字,同期的就业不足率,即寻求全职工作的人的总体就业率,估计高达15.1%。这些求职者中的绝大多数人缺乏成功塑造自己品牌的经验,也没有广泛的专业网络来了解工作机会;这意味着公司很容易错失大量合格的候选人。拟议中的技术提供了数字工具,帮助应聘者免费磨练面试技能和专业性,同时为公司提供一个廉价的平台,将视频分析应用于候选人的预筛选任务。这将使公司能够获得高价值的信息,这些信息通常只有在对更广泛的应聘者进行现场面试时才能以高昂的成本获得。这个i-Corps团队设想了一项免费服务,求职者可以在订阅和访问潜在雇主网络之前,尝试拟议的“诚实信号”视频分析功能。使用诚实信号服务进行员工筛选的公司将既可以访问要求与雇主共享其视频的用户网络,也可以访问定制分析工具,使他们能够根据自己的独特需求筛选应聘者,从而简化人力资源运营,以应对低端/非熟练劳动力、零售员工和海外劳动力等具有挑战性的招聘场景。这项拟议的工作将从根本上为求职者评估带来新的信息类型,并将有助于开创利用这些新数据源的自动化方法。这些形式丰富得多的信息的使用,有可能通过使用社会心理学中的创新技术来改变招聘实践。
英文摘要
A recent study on hiring indicated that interviewers felt that 80 to 85 percent of the job candidates they interviewed were poorly prepared. This has led to a remarkable rise in career coaching and employment websites. At the present time, the American unemployment rate is 6.2%, representing 9.7 million unemployed persons currently seeking work. Extending beyond this figure, the underemployment rate, or the overall rate of those seeking full-time work, is estimated to be as high as 15.1% for the same period. The vast majority of these job seekers lacks experience in branding themselves successfully and does not possess an extensive professional network from which to learn about job opportunities; this means that companies could easily be missing out on large numbers of qualified candidates. The proposed technology provides digital tools to help candidates hone their interviewing skills and professionalism for no charge, while simultaneously providing companies with an inexpensive platform to apply video analytics to the task of pre-screening candidates. This will allow companies to gain the high-value information normally only obtainable at high cost during a live interview for a much broader set of candidates.This I-Corps team envisions a free service where job candidates are able to try the proposed concept "Honest Signals" video analytics features before subscribing and gaining access to a network of potential employers. Companies who use the Honest Signals service for employee screening will have access both to a network of users who have asked to have their videos shared with employers and to custom analytics tools which will allow them to screen candidates based on their own unique needs, thus streamlining human resources operations for challenging hiring scenarios such as low-end/unskilled labor, retail associates, and overseas labor. The proposed work will bring fundamentally new kinds of information to job candidate assessment and will help pioneer automated methods to exploit these new data sources. The use of these vastly richer forms of information has the potential to transform the practice of hiring through the use of innovative techniques drawn from social psychology.
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RI: Medium: Deep Annotation: Measuring Human Vision to Improve Machine Vision
  • 批准号:
    1409097
  • 项目类别:
    Standard Grant
  • 资助金额:
    $67.41万
  • 财政年份:
    2014
  • 负责人:
    David Cox
  • 依托单位:
RI: Medium: Collaborative Research: Unlocking Biologically-Inspired Computer Vision: A High-Throughput Approach
  • 批准号:
    0963668
  • 项目类别:
    Standard Grant
  • 资助金额:
    $41.0万
  • 财政年份:
    2010
  • 负责人:
    David Cox
  • 依托单位:
A Novel Rodent Model for the Neurophysiology of Visual Object Recognition
  • 批准号:
    0947777
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $15.0万
  • 财政年份:
    2009
  • 负责人:
    David Cox
  • 依托单位:
Valley Geometry Seminar
  • 批准号:
    9703485
  • 项目类别:
    Standard Grant
  • 资助金额:
    $1.2万
  • 财政年份:
    1997
  • 负责人:
    David Cox
  • 依托单位:
海外基金