Fine-Grained Analyses of Multisensory Integration and Emerging Language in 24-Month-Olds

dc.contributor.authorNetto, Madelineen
dc.contributor.committeechairPanneton, Robin K.en
dc.contributor.committeememberWalker, Abby J.en
dc.contributor.committeememberDiaz, Vanessaen
dc.contributor.departmentPsychologyen
dc.date.accessioned2024-06-12T18:52:40Zen
dc.date.available2024-06-12T18:52:40Zen
dc.date.issued2024-05en
dc.description.abstractThe Multisensory Assessment Protocol (MAAP) is a protocol that measures whether participants look at a synchronized audiovisual event more than an asynchronous audiovisual event or a distractor. It has been used in previous studies to show the relationship between multisensory integration and language in infancy and toddlerhood. For example, Bruce et al. (2022) found that performance on the MAAP in social conditions was predictive of vocabulary in 24-month-olds monolingual English learners. However, it was the collapsed looking-time data for each condition across six trials that yielded these results. Instead, this analysis used fine-grained measures to characterize attention changes over time. The preliminary findings showed that toddlers’ attention to the initial trials of social events, but the final trials of nonsocial events, was predictive of their vocabulary. The current study demonstrates that analyzing changes in attention throughout the protocol can lead to a better understanding of the relationship between multisensory integration and vocabulary.en
dc.description.abstractgeneralThe Multisensory Assessment Protocol (MAAP) is a tool used to see if participants pay more attention to a synchronized sound and image event compared to an unsynchronized one or a distractor. It has been used in past research to explore how perception of sensory synchrony relates to language development in young children. For instance, a study by Bruce and colleagues in 2022 found that how much 24-month-old children focused on these events could predict their vocabulary skills. However, their results came from averaging the attention data over six trials. In contrast, this new analysis looks more closely at how attention changes over time. Early results show that toddlers’ attention during the first two trials of social events, and during the last two trials of non-social events, can predict their vocabulary. This study highlights that by examining attention changes more closely, we can better understand how combining sensory information is linked to language development.en
dc.description.degreeMaster of Scienceen
dc.format.mediumETDen
dc.format.mimetypeapplication/pdfen
dc.identifier.urihttps://hdl.handle.net/10919/119405en
dc.language.isoenen
dc.publisherVirginia Techen
dc.titleFine-Grained Analyses of Multisensory Integration and Emerging Language in 24-Month-Oldsen
dc.typeThesisen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

Files

Original bundle
Now showing 1 - 1 of 1
Name:
Netto_Madeline_T_2024.pdf
Size:
1.29 MB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
Name:
license.txt
Size:
1.5 KB
Format:
Item-specific license agreed upon to submission
Description:

Collections