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

Engineering and Physical Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

9 Citations (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.

Original language	English
Title of host publication	Universal Access in Human-Computer Interaction
Subtitle of host publication	Applications and Services for Quality of Life - 7th International Conference, UAHCI 2013, Held as Part of HCI International 2013, Proceedings
Pages	463-471
Number of pages	9
Volume	8011 LNCS
Edition	PART 3
DOIs	https://doi.org/10.1007/978-3-642-39194-1-54
Publication status	Published - 1 Aug 2013
Event	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, United States Duration: 21 Jul 2013 → 26 Jul 2013

Publication series

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

Conference

Conference	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
Country/Territory	United States
City	Las Vegas, NV
Period	21/07/13 → 26/07/13

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

activities of daily living
apraxia
Human error identification

ASJC Scopus subject areas

General Computer Science
Theoretical Computer Science

Access to Document

10.1007/978-3-642-39194-1-54

Cite this

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 ed., Vol. 8011 LNCS, pp. 463-471). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8011 LNCS, No. PART 3). 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. Vol. 8011 LNCS PART 3. ed. 2013. pp. 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 edn, vol. 8011 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 3, vol. 8011 LNCS, pp. 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, United States, 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. Vol. 8011 LNCS PART 3. ed. 2013. p. 463-471 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8011 LNCS, No. PART 3).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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 - 2013/8/1

Y1 - 2013/8/1

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 - activities of daily living

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KW - Human error identification

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DO - 10.1007/978-3-642-39194-1-54

M3 - Conference contribution

AN - SCOPUS:84880725499

SN - 9783642391934

VL - 8011 LNCS

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

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 ed. Vol. 8011 LNCS. 2013. p. 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

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this