TY - GEN
T1 - Detecting cognitive impairment using keystroke and linguistic features of typed text
T2 - 7th Conference of the Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society, USAB 2011
AU - Vizer, Lisa M.
AU - Sears, Andrew
PY - 2011
Y1 - 2011
N2 - Perception, attention, and memory form the foundation of human cognition, and are functions that most people take for granted. However, factors such as environment, mood, stress, education, trauma, aging, or disease can impact cognitive function both positively and negatively. For example, working memory capacity generally declines somewhat with age, but a particular individual's accumulated knowledge and skills usually remain intact and can continue to grow. Current methods of monitoring persons for cognitive decline use only normative data and do not take individual differences into account. Given that early intervention can lessen the impact of cognitive decline, concern that current cognitive assessments do not adequately address individual differences, and growing technology use by older adults, this paper investigates a more effective method for monitoring cognitive function using everyday interactions with IT.
AB - Perception, attention, and memory form the foundation of human cognition, and are functions that most people take for granted. However, factors such as environment, mood, stress, education, trauma, aging, or disease can impact cognitive function both positively and negatively. For example, working memory capacity generally declines somewhat with age, but a particular individual's accumulated knowledge and skills usually remain intact and can continue to grow. Current methods of monitoring persons for cognitive decline use only normative data and do not take individual differences into account. Given that early intervention can lessen the impact of cognitive decline, concern that current cognitive assessments do not adequately address individual differences, and growing technology use by older adults, this paper investigates a more effective method for monitoring cognitive function using everyday interactions with IT.
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U2 - 10.1007/978-3-642-25364-5_34
DO - 10.1007/978-3-642-25364-5_34
M3 - Conference contribution
AN - SCOPUS:82155197299
SN - 9783642253638
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 483
EP - 500
BT - Information Quality in e-Health - 7th Conference of the Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society, USAB 2011, Proceedings
Y2 - 25 November 2011 through 26 November 2011
ER -
