Thank you! Glad it was of interest, hopefully also across subfields, and hope it may spark new ideas to investigate 😊

@matteomaran.bsky.social @giorgiopiazza.bsky.social @antocris.bsky.social Irene Arrieta Sagredo Andria Pelentritou

Further analyses revealed that the Category alignment effect emerged primarily in a subset of stimuli and in specific semantic categories, highlighting the limited generalizability of the effect originally reported.

The commentary shows that aligning in the Category condition is associated with longer RTs and greater variability compared to using basic labels in the Basic condition, suggesting an effortful and strategic rather than an automatic mechanism.

In the original paper, the authors provide evidence for automatic conceptual alignment, i.e., early alignment of participants’ behavior with the naming choices of the robot (using category labels instead of basic ones in the Category condition).

The paper provides theoretical and methodological contributions to the study of linguistic alignment in a joint picture naming with a social robot, by analyzing response times of an openly available dataset (Cirillo et al., 2022).

This commentary provides: 1) complementary multiverse analyses improving data interpretation, 2) practical suggestions for future experiments, 3) reflections on the importance of Open Science practices, especially for early career researchers.

The speakers are: Irene Arrieta-Sagredo (Uni Paris Cité, France), Antonio Criscuolo (Maastricht Uni, The Netherlands), Matteo Maran (Donders Centre for Cognition, Radboud Uni, The Netherlands), Andria Pelentritou (Uni of Lausanne, Switzerland) & Giorgio Piazza (Uni of Padova, Italy).

The symposium will bring together early career researchers to discuss how external (others') and internal (one's own) body signals may modulate speech and auditory processing, trying to foster an integrated perspective.