TY - GEN
T1 - Application of Human Error Identification (HEI) Techniques to cognitive rehabilitation in stroke patients with Limb Apraxia
AU - Hughes, Charmayne M.L.
AU - Baber, Chris
AU - Bienkiewicz, Marta
AU - Hermsdörfer, Joachim
PY - 2013
Y1 - 2013
N2 - The aim of this study was to consider the potential uses of human error identification (HEI) techniques in the development of a Personal Healthcare System (PHS) capable of delivering cognitive rehabilitation of activities of daily living (ADL) for stroke patients with limb apraxia (i.e., CogWatch). HEI techniques were able to predict a number of apraxic errors, as well as the associated consequences. The results of the present study indicate that HEI analysis is a useful tool in the design of cognitive systems that seek to reduce or eliminate errors in apraxic populations. The results will be implemented in the CogWatch system and will be used to develop error reduction strategies that prevent errors from occurring, and to provide post-error feedback to help the user correct their actions.
AB - The aim of this study was to consider the potential uses of human error identification (HEI) techniques in the development of a Personal Healthcare System (PHS) capable of delivering cognitive rehabilitation of activities of daily living (ADL) for stroke patients with limb apraxia (i.e., CogWatch). HEI techniques were able to predict a number of apraxic errors, as well as the associated consequences. The results of the present study indicate that HEI analysis is a useful tool in the design of cognitive systems that seek to reduce or eliminate errors in apraxic populations. The results will be implemented in the CogWatch system and will be used to develop error reduction strategies that prevent errors from occurring, and to provide post-error feedback to help the user correct their actions.
KW - Human error identification
KW - activities of daily living
KW - apraxia
UR - http://www.scopus.com/inward/record.url?scp=84880725499&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-39194-1_54
DO - 10.1007/978-3-642-39194-1_54
M3 - Conference contribution
AN - SCOPUS:84880725499
SN - 9783642391934
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 463
EP - 471
BT - Universal Access in Human-Computer Interaction
PB - Springer Verlag
T2 - 7th International Conference on Universal Access in Human-Computer Interaction: Design Methods, Tools, and Interaction Techniques for eInclusion, UAHCI 2013, Held as Part of 15th International Conference on Human-Computer Interaction, HCI 2013
Y2 - 21 July 2013 through 26 July 2013
ER -
