Information sampling for contingency planning

Bibtex entry:

@inproceedings{ma2021information,
	abstract = {From navigation in unfamiliar environments to career planning, people typically first sample information before committing to a plan. However, most studies find that people adopt myopic strategies when sampling information. Here we challenge those findings by investigating whether contingency planning is a driver of information sampling. To this aim, we developed a novel navigation task that is a shortest path finding problem under uncertainty of bridge closures. Participants (n = 109) were allowed to sample information on bridge statuses prior to committing to a path. We developed a computational model in which the agent samples information based on the cost of switching to a contingency plan. We find that this model fits human behavior well and is qualitatively similar to the approximated optimal solution. Together, this suggests that humans use contingency planning as a driver of information sampling.},
	address = {Austin, TX},
	author = {Ma, I. and Ma, W.J. and Gureckis, T.M.},
	booktitle = {Proceedings of the 43rd Annual Conference of the Cognitive Science Society},
	editor = {Fitch, T. and Lamm, C. and Leder, H. and Te{\ss}mar-Raible, K.},
	number = {43},
	publisher = {Cognitive Science Society},
	title = {Information sampling for contingency planning},
	volume = {43},
	year = {2021}}

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