Mandak et al. evaluated the effects of online instruction in a family-centered, relational skills strategy on preservice SLPs use of family-centered skills.
Archive | Publication
Supporting communication and participation in shared storybook reading using VSDs (Bhana et al., 2020)
Bhana et al. share how VSDs can be easily implemented during shared storybook readings to support communication and participation.
Effects of an AAC App with T2L features on Single-Word Reading of Individuals with CCN (Caron et al., 2020)
Caron et al. (2020) investigated the effects of T2L software features within a grid-based AAC app on the single-word reading skills of five individuals with CCN.
Using AAC VSDs to increase participation and communication for adolescents with CCN (Babb et al., 2020)
Babb et al. (2020) investigated the use of video VSDs to support participation during a volunteer activity for adolescents with CCN.
Information Theoretic Feature Transformation Learning for Brain Interfaces (Özdenizci & Erdoğmuş, 2019)
Özdenizci & Erdoğmuş (2019) address potential confounders caused by heuristic feature ranking and selection based dimensionality reduction methods that are widely used for brain interfaces and extend this focus with a novel information theoretic feature transformation concept.
“Building capacity in AAC” the most frequently downloaded paper in 2019!
McNaughton et al. (2019) article was the most frequently downloaded paper in the AAC journal in 2019.
Effects of video VSDs on communication during play: A pilot study (Laubscher et al., 2019)
Laubscher et al. examined the effects of video VSDs and instruction on communication between a child with ASD and a peer with typical development during play.
New and FREE online resource: Thinking about Thinking for AAC (TAT4AAC)
The TAT4AAC is a new resource to help us better understand the cognitive demands of various AAC technologies.
Trends in BCI research participant categories and descriptions in abstracts (Eddy et al., 2019)
Eddy and colleagues examined trends in inclusion and description of study participants with disabilities across six International BCI Meetings from 1999 to 2016.
An active recursive state estimation framework for brain-interfaced typing systems (Koçanaoğulları et al., 2019)
Koçanaoğulları et al. (2019) introduce a novel recursive state estimation framework for BCI-based typing systems using active querying and stopping.