Unobtrusive monitoring of computer interactions to detect cognitive status in elders

Holly Jimison; Misha Pavel; James McKanna; Jesse Pavel

doi:10.1109/TITB.2004.835539

Unobtrusive monitoring of computer interactions to detect cognitive status in elders

Holly Jimison
, Misha Pavel
, James McKanna
, Jesse Pavel

Research output: Contribution to journal › Article › peer-review

102 Scopus citations

Abstract

The U.S. has experienced a rapid growth in the use of computers by elders. E-mail, Web browsing, and computer games are among the most common routine activities for this group of users. In this paper, we describe techniques for unobtrusively monitoring naturally occurring computer interactions to detect sustained changes in cognitive performance. Researchers have demonstrated the importance of the early detection of cognitive decline. Users over the age of 75 are at risk for medically related cognitive problems and confusion, and early detection allows for more effective clinical intervention. In this paper, we present algorithms for inferring a user's cognitive performance using monitoring data from computer games and psychomotor measurements associated with keyboard entry and mouse movement. The inferences are then used to classify significant performance changes, and additionally, to adapt computer interfaces with tailored hints and assistance when needed. These methods were tested in a group of elders in a residential facility.

Original language	English (US)
Pages (from-to)	248-252
Number of pages	5
Journal	IEEE Transactions on Information Technology in Biomedicine
Volume	8
Issue number	3
DOIs	https://doi.org/10.1109/TITB.2004.835539
State	Published - Sep 2004
Externally published	Yes

Funding

Manuscript received December 22, 2003; revised April 5, 2004 and July 7, 2004. This work was supported in part by a grant from the Intel Corporation and in cooperation with Spry Learning, Inc. H. B. Jimison is with the Department of Medical Informatics, Oregon Health and Science University, Portland, OR 97230 USA (e-mail: [email protected]). M. Pavel and J. McKanna are with the Biomedical Engineering Department, Oregon Health and Science University, Portland, OR 97239 USA (e-mail: [email protected]; [email protected]). J. Pavel is with Electrika, Inc., Islip Terrace, NY 11752 USA (e-mail: [email protected]). Digital Object Identifier 10.1109/TITB.2004.835539

Funders
Intel Corporation

ASJC Scopus subject areas

Biotechnology
Computer Science Applications
Electrical and Electronic Engineering

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10.1109/TITB.2004.835539

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abstract = "The U.S. has experienced a rapid growth in the use of computers by elders. E-mail, Web browsing, and computer games are among the most common routine activities for this group of users. In this paper, we describe techniques for unobtrusively monitoring naturally occurring computer interactions to detect sustained changes in cognitive performance. Researchers have demonstrated the importance of the early detection of cognitive decline. Users over the age of 75 are at risk for medically related cognitive problems and confusion, and early detection allows for more effective clinical intervention. In this paper, we present algorithms for inferring a user's cognitive performance using monitoring data from computer games and psychomotor measurements associated with keyboard entry and mouse movement. The inferences are then used to classify significant performance changes, and additionally, to adapt computer interfaces with tailored hints and assistance when needed. These methods were tested in a group of elders in a residential facility.",

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Unobtrusive monitoring of computer interactions to detect cognitive status in elders

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