Using behavior to decode allocation of attention in context dependent decision making

Michael Shvartsman, Vaibhav Srivastava, Narayanan Sundaram, Jonathan D. Cohen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present a model of the dynamics of adaptive attention allocation in the AX Continuous Performance Test (AX-CPT), a simple context dependent decision making task of interest to the research communities concerned with cognitive control, schizophrenia, anxiety and aging (Braver et al., 2001; Cohen et al., 1999; Eysenck et al., 2007). We ground it in our recent theory of decision making under dynamic context, that assumes humans use sequential Bayesian inference to combine information from multiple sources in perception and (optionally) memory over time. The theory generalizes the well-known diffusion decision model of single-stimulus decision making (DDM; Ratcliff, 1978). Our first result is a new analysis that shows how memory encoding and retention can yield a variable initial condition for either a single- or multiple-stimulus decision, providing a theoretical grounding to the assumption of variability in initial condition previously shown to improve data fits for the DDM. Our second result is using this model to decode attention allocation from behavioral data in a novel quantitative payoff manipulation in the AX-CPT, showing that our model can capture the differences in how subjects encode and retrieve contextual information when the relative emphasis on task speed and accuracy is changed.

Original languageEnglish (US)
Title of host publicationProceedings of ICCM 2016 - 14th International Conference on Cognitive Modeling
EditorsDavid Reitter, Frank E. Ritter
PublisherThe Pennsylvania State University
Pages65-71
Number of pages7
ISBN (Electronic)9780998508207
StatePublished - 2016
Event14th International Conference on Cognitive Modeling, ICCM 2016 - University Park, United States
Duration: Aug 3 2016Aug 6 2016

Publication series

NameProceedings of ICCM 2016 - 14th International Conference on Cognitive Modeling

Conference

Conference14th International Conference on Cognitive Modeling, ICCM 2016
CountryUnited States
CityUniversity Park
Period8/3/168/6/16

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Modeling and Simulation

Keywords

  • Bayesian inference
  • Context processing
  • Decision making
  • Ornsteinuhlenbeck process
  • Sequential inference
  • Wiener process

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  • Cite this

    Shvartsman, M., Srivastava, V., Sundaram, N., & Cohen, J. D. (2016). Using behavior to decode allocation of attention in context dependent decision making. In D. Reitter, & F. E. Ritter (Eds.), Proceedings of ICCM 2016 - 14th International Conference on Cognitive Modeling (pp. 65-71). (Proceedings of ICCM 2016 - 14th International Conference on Cognitive Modeling). The Pennsylvania State University.