Humans Integrate Visual and Haptic Information in a Statistically Optimal Fashion.¶
Ernst, M. O., & Banks, M. S. (2002). Humans Integrate Visual and Haptic Information in a Statistically Optimal Fashion. Nature, 415(6870), 429-433.
Cited by¶
4 citations across 4 artifacts.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Bayesian Cue Integration
- Vision dominates audition for spatial localization because vision is spatially more precise; audition dominates vision for temporal-onset judgments because it is temporally more precise.
This sourceDemonstrates that human visual-haptic integration is a maximum-likelihood, inverse-variance-weighted combination yielding a lower-variance estimate, reweighting as cue reliability changes.
- Vision dominates audition for spatial localization because vision is spatially more precise; audition dominates vision for temporal-onset judgments because it is temporally more precise.
- Precision Weighting
- Computational cognitive science — predictive-coding models weight prediction errors by precision; attention is precision modulation of selected channels; multisensory integration follows precision-weighted Bayesian rules, as in visual-haptic integration.
This sourceDemonstrates that multisensory integration follows precision-weighted (inverse-variance) maximum-likelihood combination.
- Computational cognitive science — predictive-coding models weight prediction errors by precision; attention is precision modulation of selected channels; multisensory integration follows precision-weighted Bayesian rules, as in visual-haptic integration.
Mechanisms¶
- Bayesian Cue Integration Model
- Multimodal Fusion Tracker
- It earns its place wherever no single sense suffices and the channels fail at different times, so their combination covers each other's blind moments — the well-studied benefit of integrating cues weighted by their reliability
This sourceShows that visual and haptic cues are combined approximately as a maximum-likelihood estimate, with weights determined by each cue's reliability.
- It earns its place wherever no single sense suffices and the channels fail at different times, so their combination covers each other's blind moments — the well-studied benefit of integrating cues weighted by their reliability
Verification¶
This reference passed the adversarial substantiation pipeline: it was checked to exist and to support the claim it is attached to. See how references were verified.
Registry ID ref:bd31779684e6 · see in the full table