The world seems different in a social context: A neural network analysis of human experimental data.

ABSTRACT: Human perception and behavior are affected by the situational context, in particular during social interactions. A recent study demonstrated that humans perceive visual stimuli differently depending on whether they do the task by themselves or together with a robot. Specifically, it was found that the central tendency effect is stronger in social than in non-social task settings. The particular nature of such behavioral changes induced by social interaction, and their underlying cognitive processes in the human brain are, however, still not well understood. In this paper, we address this question by training an artificial neural network inspired by the predictive coding theory on the above behavioral data set. Using this computational model, we investigate whether the change in behavior th

SUBMITTER: Tsfasman M 

PROVIDER: S-EPMC9426934 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature