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HEIndividual fellowship2022–2026

CrossEDGE · Crossmodal estimation of decisions, guesses and delays in decision making: a collaboration between psychology, physiology and artificial intelligence

Horizon Europe — Marie Skłodowska-Curie Actions

Duration
2022-08-01 → 2026-08-31
EU contribution
€203,464
Participants
1
Scheme
HORIZON-TMA-MSCA-PF-EF

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Results in brief

Crossmodal estimation of decisions, guesses and delays in decision making: a collaboration between psychology, physiology and artificial intelligence

Decision‑making under time pressure is a fundamental cognitive function that shapes everyday behaviour, clinical diagnosis, education, and the design of autonomous systems. Yet, conventional behavioural analyses collapse thousands of milliseconds of neural activity into a single reaction‑time measure, obscuring the rapid succession of mental operations that actually drive a choice. The central goal of this was to combine trial-by-trial electroencephalographic (EEG) recordings with behavioral data and translate this into a computational framework capable of labeling each decision as a guess, an evidence-accumulation process, or a delayed response. The project pursued three tightly coupled objectives: 1 - Derive a model integrating physiological and behavioral data for the characterization of cognitive events in the EEG at the trial level 2 - Use the detected EEG events to understand the cognitive processes in decision-making 3 - Combine the outputs of the first two objectives into a generative framework that predicts the proportion of each strategy used across different speed‑accuracy regimes, thereby offering a quantitative bridge between neural dynamics and behavioural policy

Data: CORDIS, © European Union

Project objective

Our daily lives are full of decisions for which we could take an infinite time in order to decide as accurately as possible. However, different speed and accuracy constraints, tied to the type of decisions, the decision-maker and his environment, are limiting the time allocated. How decision-makers deal with this speed-accuracy tradeoff is an important cornerstone for the sciences studying decision making such as psychology, cognitive neuroscience and artificial intelligence. One particularly successful proposal of formal decision-making models is to assume that decision-makers are reducing or increasing decision thresholds to adapt to the speed and accuracy constraints. But recent evidence shows that this strategy is insufficient to explain the full range of behavioral and physiological data in decision tasks. The present proposal suggests, based on new studies, that speed-accuracy tradeoff is achieved by varying the reliance on three different response strategies: guessing, immediate evidence accumulation and delayed evidence accumulation. Using an interdisciplinary approach, involving experimental psychology, mathematical psychology along with cognitive neuroscience and artificial intelligence, the project aims at providing a broadly applicable framework to detect, measure, and estimate the reliance on the three strategies along with the description of the psychological processes behind these. This project will train a promising cognitive psychologist and neuroscientist to apply advanced methods in a unique and fruitful research environment linking the four disciplines. It will also provide the host organisation with new tools to study latent cognitive processes in cognitive tasks. Overall, the project will constitute an innovative approach to decision making with broad applicability, likely to increase the description and predictions we can make of behavior and psychological processes involved in decision making, in conjunction with inter-individual differences.

Original text from CORDIS.

Participants

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Data: CORDIS, © European Union