Collaborative Research: Investigating Compensatory and Noncompensatory Decision Making Strategies in Dynamic Task Environments

协作研究:研究动态任务环境中的补偿性和非补偿性决策策略

基本信息

  • 批准号:
    0452416
  • 负责人:
  • 金额:
    $ 10.57万
  • 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:
    2005-04-15 至 2007-07-31
  • 项目状态:
    已结题

项目摘要

In the modern, evolving workplace there exists a need to support workers in adapting to novel demands and opportunities. Traditionally, human judgments are characterized by weighted strategies where tradeoffs between decision criteria are made. For example, college admissions committees consider multiple facets of an applicant and, often, a poor grade point average can be compensated by a superior entrance exam score. However, on occasions in which time stress or high workload exists, human judgments are typically rule-based where factors are not weighted. For instance, an air traffic controller is likely to diagnose potential problems in high workload situations based on a few salient cues.This research will add to the growing body of knowledge concerning the way in which a decision environment influences the strategy used by decision makers. While characterizations such as weighted and rule-based strategies have been deduced from a multitude of experimental studies, no framework exists to model and predict shifts in judgment strategy in individual decision makers. The central theme of this research is to create a mathematical framework to model the shift from a weighted to a rule-based strategy, and vice versa, in work environments where workload and stress levels vary. This research will build upon existing work to create a model which infers judgment rules from human data. Multiple experiments will be conducted to compare the performances of the rule-based model with a commonly-used weighted model under varying workload and time stress situations. It is hypothesized that increasing workload and time stress will promote a systematic shift from weighted to rule-based strategies. This work will make a valuable contribution toward understanding decision making in complex, dynamic environments. One potential implication of this research is the design of an aiding mechanism that adapts to the needs of the user based on conditions of dynamic work environments.
在现代不断发展的工作场所,需要支持员工适应新的需求和机会。传统上,人类判断的特点是加权策略,在决策标准之间进行权衡。例如,大学招生委员会会考虑申请人的多个方面,通常情况下,较差的平均成绩可以通过较好的入学考试成绩来弥补。然而,在存在时间压力或高工作量的情况下,人的判断通常是基于规则的,其中因素没有加权。例如,空中交通管制员可能会根据一些明显的线索诊断高工作量情况下的潜在问题。这项研究将增加有关决策环境影响决策者使用的策略的方式的知识体系。虽然加权和基于规则的策略等特征已经从大量的实验研究中推断出来,但目前还没有一个框架来模拟和预测个体决策者的判断策略的变化。这项研究的中心主题是创建一个数学框架来模拟从加权到基于规则的策略的转变,反之亦然,在工作量和压力水平变化的工作环境中。这项研究将建立在现有工作的基础上,创建一个从人类数据推断判断规则的模型。将进行多个实验,比较基于规则的模型与常用的加权模型在不同工作量和时间压力情况下的性能。据推测,工作量和时间压力的增加将促进从加权策略到基于规则的策略的系统转变。这项工作将对理解复杂、动态环境中的决策做出有价值的贡献。这项研究的一个潜在意义是设计一种辅助机制,根据动态工作环境的条件来适应用户的需求。

项目成果

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Ling Rothrock其他文献

Analyses of team performance in a dynamic task environment
  • DOI:
    10.1016/j.apergo.2008.06.004
  • 发表时间:
    2009-07-01
  • 期刊:
  • 影响因子:
  • 作者:
    Ling Rothrock;Ayala Cohen;Jing Yin;Hari Thiruvengada;Inbal Nahum-Shani
  • 通讯作者:
    Inbal Nahum-Shani
Performance assessment in an interactive call center workforce simulation
  • DOI:
    10.1016/j.simpat.2010.06.008
  • 发表时间:
    2011-01-01
  • 期刊:
  • 影响因子:
  • 作者:
    Jungmok Ma;Namhun Kim;Ling Rothrock
  • 通讯作者:
    Ling Rothrock
Utilizing eye-tracking software to evaluate the efficacy of standardized total body skin examination
  • DOI:
    10.1016/j.jaad.2023.04.065
  • 发表时间:
    2023-09-01
  • 期刊:
  • 影响因子:
  • 作者:
    Hannah H. Nam;Jacob Colello;Deep Patel;Alyson M. Rich;Katherine Hallock;Amy Longenecker;Jeffrey Miller;Ling Rothrock;Snehal Dhengre;Leesha Helm;Matthew Helm
  • 通讯作者:
    Matthew Helm
Time windows-based team performance measures: a framework to measure team performance in dynamic environments
  • DOI:
    10.1007/s10111-006-0046-8
  • 发表时间:
    2006-10-26
  • 期刊:
  • 影响因子:
    3.400
  • 作者:
    Hari Thiruvengada;Ling Rothrock
  • 通讯作者:
    Ling Rothrock
Investigating effect of standardized total body skin examination using sequence-networks.
使用序列网络研究标准化全身皮肤检查的效果。
  • DOI:
    10.1016/j.apergo.2023.104219
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    3.2
  • 作者:
    Snehal Dhengre;Hannah H. Nam;Matthew Helm;Ling Rothrock
  • 通讯作者:
    Ling Rothrock

Ling Rothrock的其他文献

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