10.5061/DRYAD.7H44J0ZSG
Lee, Douglas
0000-0001-5892-8694
Sorbonne University
Daunizeau, Jean
Inserm
Lee and Daunizeau choice data from: Trading mental effort for confidence
in the metacognitive control of value-based decision-making
Dryad
dataset
2020
FOS: Psychology
binary choice
value ratings
value certainty
confidence
Behavioral response time
choice-induced preference change
2020-09-28T00:00:00Z
2020-09-28T00:00:00Z
en
122312 bytes
2
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Why do we carefully ponder some decisions, but not others? In this work,
we derive a computational model of the metacognitive control of decisions
or MCD. In brief, we assume that fast and automatic processes first
provide an initial (and largely uncertain) representation of options'
values, yielding prior estimates of decision difficulty. This uncertain
value representation is then refined by deploying cognitive (e.g.,
attentional, mnesic) resources, the allocation of which is controlled by
an effort-confidence tradeoff. Importantly, the anticipated benefit of
allocating resources varies in a decision-by-decision manner according to
the prior estimate of decision difficulty. The ensuing MCD model predicts
choices, response time, subjective feeling of effort, choice confidence,
and choice-induced preference change. We test these predictions in a
systematic manner, using a dedicated behavioral paradigm. Our results
provide a quantitative link between mental effort, choice confidence, and
preference reversals, which could inform interpretations of related
neuroimaging findings.
participants provided subjective value estimate ratings for individual
snack foods, along with subjective certainty about each rating
participants chose between pairs of items, along with confidence in each
choice participants again provided subjective value estimate ratings for
individual snack foods, along with subjective certainty about each rating