Flexi Grant, Action on Hearing Loss (£5,000)
National Science Foundation: Engaging Learning Network ($2,000)
After taking part in the Games for Change Hackathon 2017 I began developing the idea to create a virtual reality speech-in-noise assessment for children. This project is currently in the software development stage (with Game Theory co) with testing to commence shortly. We will be comparing how children perform in a normal testing environment to virtual reality with the Oculus Rift and Go headsets.
Stewart, H. J. (August 2018). Scientifically Speaking. AoHL magazine. <here>
Statistical learning and language learning
Collaborators: Jennifer Vannest, University of Cincinnati and Elena Plante lab, University of Arizona
We are using a statistical learning paradigm to investigate novel language learning in children with listening difficulties (SICLiD) and hearing impairment (OtiS). We are also piloting adding background noise to the statistical learning paradigm.
Auditory figure-ground segregation
Collaborators: Phillip Gander, University of Iowa and Emma Holmes, UCL
We are using a figure-ground task to assess how well children with listening difficulties (SICLiD) are able to extract a coherent tone pattern from a stochastic background of tones.