Application of Human Error Identification (HEI) Techniques to cognitive rehabilitation in stroke patients with Limb Apraxia

Charmayne M.L. Hughes; Chris Baber; Marta Bienkiewicz; Joachim Hermsdörfer

doi:10.1007/978-3-642-39194-1_54

Application of Human Error Identification (HEI) Techniques to cognitive rehabilitation in stroke patients with Limb Apraxia

Charmayne M.L. Hughes
, Chris Baber
, Marta Bienkiewicz
, Joachim Hermsdörfer

Lehrstuhl für Bewegungswissenschaft

Technische Universität München
University of Birmingham

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

10 Zitate (Scopus)

Abstract

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.

Originalsprache	Englisch
Titel	Universal Access in Human-Computer Interaction
Untertitel	Applications and Services for Quality of Life - 7th International Conference, UAHCI 2013, Held as Part of HCI International 2013, Proceedings
Herausgeber (Verlag)	Springer Verlag
Seiten	463-471
Seitenumfang	9
Auflage	PART 3
ISBN (Print)	9783642391934
DOIs	https://doi.org/10.1007/978-3-642-39194-1_54
Publikationsstatus	Veröffentlicht - 2013
Veranstaltung	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 - Las Vegas, NV, USA/Vereinigte Staaten Dauer: 21 Juli 2013 → 26 Juli 2013

Publikationsreihe

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Nummer	PART 3
Band	8011 LNCS
ISSN (Print)	0302-9743
ISSN (elektronisch)	1611-3349

Konferenz

Konferenz	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
Land/Gebiet	USA/Vereinigte Staaten
Ort	Las Vegas, NV
Zeitraum	21/07/13 → 26/07/13

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

SDG 3 – Gute Gesundheit und Wohlergehen

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10.1007/978-3-642-39194-1_54

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Hughes, C. M. L., Baber, C., Bienkiewicz, M., & Hermsdörfer, J. (2013). Application of Human Error Identification (HEI) Techniques to cognitive rehabilitation in stroke patients with Limb Apraxia. in Universal Access in Human-Computer Interaction: Applications and Services for Quality of Life - 7th International Conference, UAHCI 2013, Held as Part of HCI International 2013, Proceedings (PART 3 Aufl., S. 463-471). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 8011 LNCS, Nr. PART 3). Springer Verlag. https://doi.org/10.1007/978-3-642-39194-1_54

Hughes, Charmayne M.L. ; Baber, Chris ; Bienkiewicz, Marta et al. / Application of Human Error Identification (HEI) Techniques to cognitive rehabilitation in stroke patients with Limb Apraxia. Universal Access in Human-Computer Interaction: Applications and Services for Quality of Life - 7th International Conference, UAHCI 2013, Held as Part of HCI International 2013, Proceedings. PART 3. Aufl. Springer Verlag, 2013. S. 463-471 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3).

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abstract = "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.",

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Hughes, CML, Baber, C, Bienkiewicz, M & Hermsdörfer, J 2013, Application of Human Error Identification (HEI) Techniques to cognitive rehabilitation in stroke patients with Limb Apraxia. in Universal Access in Human-Computer Interaction: Applications and Services for Quality of Life - 7th International Conference, UAHCI 2013, Held as Part of HCI International 2013, Proceedings. PART 3 Aufl., Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Nr. PART 3, Bd. 8011 LNCS, Springer Verlag, S. 463-471, 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, Las Vegas, NV, USA/Vereinigte Staaten, 21/07/13. https://doi.org/10.1007/978-3-642-39194-1_54

Application of Human Error Identification (HEI) Techniques to cognitive rehabilitation in stroke patients with Limb Apraxia. / Hughes, Charmayne M.L.; Baber, Chris; Bienkiewicz, Marta et al.
Universal Access in Human-Computer Interaction: Applications and Services for Quality of Life - 7th International Conference, UAHCI 2013, Held as Part of HCI International 2013, Proceedings. PART 3. Aufl. Springer Verlag, 2013. S. 463-471 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 8011 LNCS, Nr. PART 3).

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

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

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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 -

Hughes CML, Baber C, Bienkiewicz M, Hermsdörfer J. Application of Human Error Identification (HEI) Techniques to cognitive rehabilitation in stroke patients with Limb Apraxia. in Universal Access in Human-Computer Interaction: Applications and Services for Quality of Life - 7th International Conference, UAHCI 2013, Held as Part of HCI International 2013, Proceedings. PART 3 Aufl. Springer Verlag. 2013. S. 463-471. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3). doi: 10.1007/978-3-642-39194-1_54

Application of Human Error Identification (HEI) Techniques to cognitive rehabilitation in stroke patients with Limb Apraxia

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