A new paper by our previous PhD student Aysegul is published in the Journal of Cognitive Psychology. In this study, we investigated the preference decision scenario in which choice options comprise multiple items.

Preference-based decisions often need to combine multiple pieces of information. This study investigated how the number of information sources and information congruency affect decision performance. Participants made preference-based choices between two groups of food items. Increasing the number of items in each option led to slower and less accurate decisions. Drift-diffusion modelling showed that more information sources relate to a slower rate of evidence accumulation. Therefore, the additional information impeded rather than improved the decision accuracy. In Experiment 2, each choice option contained either fully congruent information or one piece of incongruent information. Decisions with incongruent information are associated with a lower drift rate than those with congruent information, leading to inferior behavioural performance. Further model simulations support that the change in attention weighting over information sources leads to the observed effects of item numbers and item congruency. Our results suggest a bounded combination of information sources during preference-based decisions.

The paper is now available online.

Congratulations to Emanuele Sicurella for passing his PhD viva! During his PhD, Emanuele has worked on graph-based and deep learning tools for analysing behavioural and neural data. Very well done Dr Sicurella!

Congratulations to Ruoguang Si for passing her PhD viva! During her PhD, Ruoguang focused on the behavioural patterns and neural correlates of intentional decision-making. Very well done Dr Si!

Together with other collegues, we hosted 2023 British Association for Cognitive Neuroscience annual meeting in Cardiff. Isabella and Indra presented their reserach on cohort-based analyses on human processing speed, preference-based decision-making and a systematic review on EEG/MEG.

BACN 2023

Big congratulation to Ayşegül Özkan for passing her PhD viva with minor corrections! During her PhD, Ayşegül used lab-based tasks, internet-based experiments and MEG to understand the cognitive processes during perference-based decision making. Well done Dr Özkan!