The unmet timely diagnosis requirements, that take place years after substantial neural loss
and neuroperturbations in neuropsychiatric disorders, affirm the dire need for biomarkers …

Purpose: The main objective of this study is to propose a Keystroke dynamics (KD) based
Parkinson's disease (PD) indicator using both fixed-text and free-text typing habits on …

The purpose of this paper is to assess the effects that the COVID-19 pandemic caused in the
human–computer interaction (HCI) research field. Specifically, we aim to investigate how the …

Touchscreen typing requires coordinating the fingers and visual attention for button-
pressing, proofreading, and error correction. Computational models need to account for the …

In the past years, human computer interaction (HCI) research and innovation have
developed substantially, leading to a number of fruitful research topics. In this paper, we …

Parkinson's disease (PD) can cause many motor impairments in humans such as muscle
rigidity/stiffness, hand tremors, etc., causing difficulty when interacting with computer input …

This thesis presents two user studies that investigate how the errors that can occur during
speech recognition affect users' text entry performance and their experience. For this work, I …

DISEASES, SUCH as cerebrovascular disease, Parkinson's disease (PD), Alzheimer's
disease, have become the leading cause of death in China. Neurological function …

Mobile text entry has become a main mode of communication. To make text entry as efficient
as possible, helpful features, such as autocorrect and speech recognition have been …

In this digital age text entry efficiency is crucial for our everyday communication. State-of-the-
art technologies that are commonly used to improve entry efficiency include auto-correction …