3,517 research outputs found

    A model for dynamic allocation of human attention among multiple tasks

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    The problem of multi-task attention allocation with special reference to aircraft piloting is discussed with the experimental paradigm used to characterize this situation and the experimental results obtained in the first phase of the research. A qualitative description of an approach to mathematical modeling, and some results obtained with it are also presented to indicate what aspects of the model are most promising. Two appendices are given which (1) discuss the model in relation to graph theory and optimization and (2) specify the optimization algorithm of the model

    Modeling human decision making behavior in supervisory control

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    An optimal decision control model was developed, which is based primarily on a dynamic programming algorithm which looks at all the available task possibilities, charts an optimal trajectory, and commits itself to do the first step (i.e., follow the optimal trajectory during the next time period), and then iterates the calculation. A Bayesian estimator was included which estimates the tasks which might occur in the immediate future and provides this information to the dynamic programming routine. Preliminary trials comparing the human subject's performance to that of the optimal model show a great similarity, but indicate that the human skips certain movements which require quick change in strategy

    Measuring the measurement error: A method to qualitatively validate survey data

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    This is the author accepted manuscript. The final version is available from Elsevier via the DOI in this record.Empirical social science relies heavily on self-reported data, but subjects may misreport behaviors, especially sensitive ones such as crime or drug abuse. If a treatment influences survey misreporting, it biases causal estimates. We develop a validation technique that uses intensive qualitative work to assess survey misreporting and pilot it in a field experiment where subjects were assigned to receive cash, therapy, both, or neither. According to survey responses, both treatments reduced crime and other sensitive behaviors. Local researchers spent several days with a random subsample of subjects after surveys, building trust and obtaining verbal confirmation of four sensitive behaviors and two expenditures. In this instance, validation showed survey underreporting of most sensitive behaviors was low and uncorrelated with treatment, while expenditures were under reported in the survey across all arms, but especially in the control group. We use these data to develop measurement error bounds on treatment effects estimated from surveys.This study was funded by the National Science Foundation (SES-1317506), the World Bank's Learning on Gender and Conflict in Africa (LOGiCA) trust fund, the World Bank's Italian Children and Youth (CHYAO) trust fund, the Department of International Development, UK (DFID, GA-C1-RA2-114) via the Institute for the Study of Labor (IZA), a Vanguard Charitable Trust, the American People through the United States Agency for International Development (USAID, AID-OAA-A-12-00066) DCHA/CMM office, and the Robert Wood Johnson Health and Society Scholars Program at Harvard University (Cohort 5). The contents of this study are the sole responsibility of authors and do not necessarily reflect the views of their employers or any of these funding agencies or governments
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