Multisensory causal inference is feature-specific, not object-based
Multisensory causal inference is feature-specific, not object-based
Multisensory integration depends on causal inference about the sensory signals. We tested whether implicit causal-inference judgements pertain to entire objects or focus on task-relevant object features. Participants in our study judged virtual visual, haptic and visual-haptic surfaces with respect to two features - slant and roughness - against an internal standard in a two-alternative forced-choice task. Modelling of participants' responses revealed that the degree to which their perceptual judgements were based on integrated visual-haptic information varied unsystematically across features. For example, a perceived mismatch between visual and haptic roughness would not deter the observer from integrating visual and haptic slant. These results indicate that participants based their perceptual judgements on a feature-specific selection of information, suggesting that multisensory causal inference proceeds not at the object level but at the level of single object features. This article is part of the theme issue 'Decision and control processes in multisensory perception'.
causal inference, cue integration, roughness, slant, visual-haptic
Badde, Stephanie
c5419652-1ac3-405a-9cde-bee296e72157
Landy, Michael S.
b6ce2ab2-5451-4e33-9afe-5d06e5675063
Adams, Wendy J.
25685aaa-fc54-4d25-8d65-f35f4c5ab688
25 September 2023
Badde, Stephanie
c5419652-1ac3-405a-9cde-bee296e72157
Landy, Michael S.
b6ce2ab2-5451-4e33-9afe-5d06e5675063
Adams, Wendy J.
25685aaa-fc54-4d25-8d65-f35f4c5ab688
Badde, Stephanie, Landy, Michael S. and Adams, Wendy J.
(2023)
Multisensory causal inference is feature-specific, not object-based.
Philosophical Transactions of the Royal Society B: Biological Sciences, 378 (1886), [20220345].
(doi:10.1098/rstb.2022.0345).
Abstract
Multisensory integration depends on causal inference about the sensory signals. We tested whether implicit causal-inference judgements pertain to entire objects or focus on task-relevant object features. Participants in our study judged virtual visual, haptic and visual-haptic surfaces with respect to two features - slant and roughness - against an internal standard in a two-alternative forced-choice task. Modelling of participants' responses revealed that the degree to which their perceptual judgements were based on integrated visual-haptic information varied unsystematically across features. For example, a perceived mismatch between visual and haptic roughness would not deter the observer from integrating visual and haptic slant. These results indicate that participants based their perceptual judgements on a feature-specific selection of information, suggesting that multisensory causal inference proceeds not at the object level but at the level of single object features. This article is part of the theme issue 'Decision and control processes in multisensory perception'.
Text
Badde_2023_ProcRoyalSociety
- Accepted Manuscript
More information
Accepted/In Press date: 18 June 2023
e-pub ahead of print date: 7 August 2023
Published date: 25 September 2023
Additional Information:
Funding Information:
This work was supported by the National Institutes of Health, grant no. NIH EY08266 to M.S.L. and the German Research Foundation, grant no. BA 5600 1/1 to S.B. Acknowledgements
Keywords:
causal inference, cue integration, roughness, slant, visual-haptic
Identifiers
Local EPrints ID: 481543
URI: http://eprints.soton.ac.uk/id/eprint/481543
ISSN: 0962-8436
PURE UUID: 80e0885b-eaf4-4957-81c2-f74e67347ad9
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Date deposited: 01 Sep 2023 16:48
Last modified: 06 Jun 2024 01:42
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Author:
Stephanie Badde
Author:
Michael S. Landy
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