Cognitive, Language, Learning Disabilities & Low Literacy

Speech features are collected as an early indicator of the disorder which can be used to train machine learning algorithms for differentiating between speech of normally developing children and children with intellectual disability. 2 tasks related to sustained phonation and repetition were given. Speech recordings were done in a quiet room using head fitted recorder (Sony UX533F)

This work uses eye tracking technology with ASD participants in order to evaluate text documents. Particpants were asked to read texts with photographs (20 photographs in total), texts with symbols (19 symbols in total) and 9 plain texts (with no images) while their eye sight was tracked and were asked a multiple choice question after each folowed by questions on test diffuculty and reading preference.

A dataset of eyetracking movements of people with dyslexia and normal vision while reading different combinations of texts and typefaces are collected for comparison. Each participant read 12 different texts with 12 different typefaces. Participants were were between 11 and 54 years of age.

This work aims to model difficulties in starting or to stoping movements in speech, handwriting, and gait and use those transitions to train convolutional neural networks to classify patients and healthy subjects. The subjects performed a total of 14 tasks divided into writing and drawing tasks on a tablet that captured six different signals: x-position, yposition, in-air movement, azimuth, altitude, and pressure.

People with Alzeimer's disease speakout narrative phrases to build database of speech data for understanding patterns in their articulation. Transcripts and audio are collected as speakers read out text in Spanish.

A mobile app to collect various test like, tapping acitvity, voice samples, memory activity and more is collected from people with and without self-identified Parkinson's disease. Participants used the smartphone app to record and register 4 activities, tapping, memory test, walking and voice samples were recorded

This work is part of a longitudinal study that aims to undertand the relations with different abilities and the development of stuttering in childhood. Preschool and primary school children were involved in an experimental playing situation where the children play with their mothers in the phoniatric clinic laboratory.

This work aims to differentially diagnose stuttering and cluttering symptoms of Dutch speaking children and adolescents with Down syndrome. The data is used to analyze the dysfluencies.

Cursor logs from an anonymized sample of millions of searchers on the Microsoft Bing search engine are collected and analyzed. They also conduct a 1000 participant study to confirm the validity of the population scale results. Microsoft bing search queries are used as proxies and the cursor movements are recorded.

These transcripts and audio files were collected as part of a larger protocol of the Alzheimer and Related Dementias Study. Patients were given 4 tasks and there were then recorded semi-structured interviews examining the continued use of preferred External Memory Aids (EMAs) and experiences of individuals with mild neurocognitive disorder (mNCD) who completed a group intervention 1.5 years prior to the interviews.