Data from: Modeling the perception of audiovisual distance: Bayesian causal inference and other models
Catarina Mendonça, Pietro Mandelli & Ville Pulkki
Studies of audiovisual perception of distance are rare. Here, visual and auditory cue interactions in distance are tested against several multisensory models, including a modified causal inference model. In this causal inference model predictions of estimate distributions are included. In our study, the audiovisual perception of distance was overall better explained by Bayesian causal inference than by other traditional models, such as sensory dominance and mandatory integration, and no interaction. Causal inference resolved with probability...
1 citation reported since publication in 2017.
134 views reported since publication in 2017.
These counts follow the
COUNTER Code of Practice,
meaning that Internet robots and repeats within a certain time frame are excluded.
What does this mean?
10 downloads reported since publication in 2017.
These counts follow the
COUNTER Code of Practice,
meaning that Internet robots and repeats within a certain time frame are excluded.
What does this mean?