Abstract
A commonality between simple, everyday tasks and complex, military operations is that they both are dependent on decision-making. In this era of big data, successful decision-making is reliant on the effective contextual exploitation of information. Understanding information and its value within context is a complicated task. For this research context is defined as the macro environment surrounding a decision space. With that understanding, the U.S. Army Research Laboratory (ARL) in collaboration with Towson University is investigating how humans perceive and judge information value within varying context. This paper highlights the experimental design and presents the early findings of an Amazon Mechanical Turk (MTurk) experiment where a human population judged the effects of varying information sources on three different online purchase contexts. Preliminary results indicate that information and situational context play a significant role in discerning information value.
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The Research Associateship Program at USARL administrated by ORAU supported this research.
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Caylor, J.P., Hammell, R.J., Hanratty, T.P., Heilman, E.G., Richardson, J.T. (2019). The Effects of Situational Context on Information Valuation. In: Karwowski, W., Ahram, T. (eds) Intelligent Human Systems Integration 2019. IHSI 2019. Advances in Intelligent Systems and Computing, vol 903. Springer, Cham. https://doi.org/10.1007/978-3-030-11051-2_70
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DOI: https://doi.org/10.1007/978-3-030-11051-2_70
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