O’Neill et al. investigated visual attention to complex AAC VSDs by participants with and without developmental disabilities.
Archive | Publication
Special Issue on AAC State of the Science – Update
The five papers from the State of the Science Conference have received over 25,000 downloads since they were published in a special issue of the AAC journal.
Effects of shared reading on language and literacy skills of children with ASD (Boyle et al., 2019)
Boyle et al. completed a systematic review to investigate the impact of shared reading on early language and literacy skills for children with ASD.
Effects of literacy instruction on single-word reading (Mandak et al., 2018)
Mandak et al. completed a systematic review to investigate the effects of instruction on single-word reading for individuals who use AAC.
The employment experiences of adults with ASD who use AAC (Richardson, McCoy, & McNaughton, 2019)
Richardson et al describe the employment experiences of 7 individuals with ASD who use AAC in the workplace.
Providing services in the inpatient rehabilitation setting (Gormley & Light, 2019)
Gormley and Light describe the experiences of 11 SLPs who work with people with complex communication needs within the inpatient rehabilitation setting
Effects of simulated visual acuity and ocular motility impairments on SSVEP BCI performance (Peters et al., 2018)
Peters et al. report on use of the Shuffle Speller typing interface for SSVEP BCI copy-spelling with simulated VAI, simulated OMI, and unimpaired vision.
Adversarial deep learning in EEG biometrics (Özdenizci et al., 2019)
Özdenizci et al. propose an adversarial inference approach to extend deep learning models to learn session-invariant person-discriminative representations.
Code-VEP vs. eye tracking: A comparison study (Nezamfar et al., 2018)
Nezamfar et al. compare the efficacy of a BCI input signal, code-VEP via Electroencephalography, against eye gaze tracking.
On analysis of active querying for recursive state estimation (Koçanaoğulları et al., 2018)
Koçanaoğulları et al. propose an active querying procedure using mutual information maximization in recursive state estimation