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Frömer, R.

Publications and source records attributed to Frömer, R..

2 recordsLinked to original sources

Mutual inclusivity improves decision-making by smoothing out choice's competitive edge

Decisions form a central bottleneck to most tasks, one that people often experience as costly. Past work proposes mitigating those costs by lowering ones threshold for deciding. Here, we test an alternative solution, one that targets the basis for most choice costs: that choosing one option sacrifices others (mutual exclusivity). Across 5 studies (N = 462), we test whether this tension can be relieved by framing choices as inclusive (allowing selection of more than one option, as in buffets). We find that inclusivity makes choices more efficient, by selectively reducing competition between potential responses as participants accumulate information for each of their options. Inclusivity also made participants feel less conflicted, especially when they couldnt decide which good option to keep or which bad option to get rid of. These inclusivity benefits were also distinguishable from the effects of manipulating decision threshold (increased urgency), which improved choices but not experiences thereof.

neuroscience↗

Phantom controllers: Misspecified models create the false appearance of adaptive control during value-based choice

Decision scientists have grown increasingly interested in how people adaptively control their decision making, exploring how metacognitive factors like uncertainty or conflict influence how people accumulate evidence and commit to a choice. For example, a recent study proposed that options values contribute to both the formation of a decision and the effortful invigoration of a response. Here, the control process was operationalized in a drift diffusion model as the lowering of the decision threshold on difficult trials. Reanalyzing the data from this experiment, we establish alternative explanations for these findings. We show that the reported evidence for controlled threshold adjustments can be explained away by task confounds, time-dependent collapses in decision thresholds, and stimulus-driven dynamics in alternative decision frameworks. With regard to the individual study, our findings challenge the reported evidence for this new theory of motivated control. More generally, we reveal paths and pitfalls in computational approaches to understanding when and how control guides decision-making.

animal behavior and cognition↗