Lynott and Connell (2009) found that controlling property-verification items for modality-exclusivity results in a markedly larger modality-switch effect (in terms of effect size).
Supervision transfer enables learning of rich representations from a large labelled modality as a supervisory signal for training representations for a new unlabelled paired modality and can be used as a pre-training procedure for new modalities with limited labelled data.
More specifically, the goal of the current study was to investigate a) whether individuals with a large within-modality AB also show a large cross-modal AB, and b) whether individual differences in AB magnitude within different modalities correlate or are completely separate.
Even the 25% of participants with the largest within-modality ABs did not show a significant cross-modal AB effect.
The primary research question was: if some individuals have large within-modality AB magnitudes, might they also show an AB in the cross-modal case?
As we predicted, the memory decrease due to concept switch was larger for different modality profile properties than for similar modality profile properties.
Multimodal neuroimaging computing is a very challenging task due to large inter-modality variations in spatiotemporal resolution, and biophysical/biochemical mechanism.
Individuals with a large within-modality AB may be especially committed or focused in their processing of the first target, and to some extent that tendency to focus could cross modalities, reflected in the within-modality correlation.
When only the 25% of participants with the largest within-modality ABs (mean of AB magnitude in AA and VV conditions) were selected, mean AB magnitudes were 21.5% in the AA, 40.1% in the VV, 3.4% in the AV, and 4.8% in the VA condition, respectively.
On this view, human touch would seemingly occupy a larger expanse of modality space than the other major human senses.
Calatroni et al. argue that there is a large number of modality replacements that can be envisioned in ambient intelligence environments [8].
