A practical application of the Hierarchical Task Analysis (HTA) and Human Error Assessment and Reduction Technique (HEART) to identify the major errors with mitigating actions taken after fire detection onboard passenger vessels

Maya, Beatriz Navas de; Komianos, Alexandros; Wood, B. Dan; Wolff, Louis de; Kurt, Rafet Emek; Turan, Osman

doi:10.1016/j.oceaneng.2022.111339

Cited by 13 publications

(6 citation statements)

References 15 publications

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“…Já com relac ¸ão as tarefas o uso dos 2 tipos (qualitativa e quantitativo) [Moran 2018]. Como forma de guiar a definic ¸ão da tarefa pelo projetista na ferramenta, será construído um mecanismos para especificar a tarefa passo a passo, acredita-se que o método HTA (Hierarchical Task Analysis) [de Maya et al 2022], possa contribuir com essa construc ¸ão.…”

Section: Discussionunclassified

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Uma Proposta para Automatização de Avaliação de Usabilidade/UX

Garcia,

Morandini,

Oliveira Jr

2023

Anais Da VII Escola Regional De Engenharia De Software (ERES 2023)

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Este artigo objetiva apresenta um ambiente de software que melhore a automatização da avaliação de usabilidade e UX. Atualmente, esse processo, baseia-se em observações e impressõees, quase que exclusivamente, do elemento humano. Sendo assim, busca-se um processo de avaliação mais auto-suficiente, reduzindo a dependência de um avaliador experiente, que nem sempre e possível nesse processo. Para tal, pensou-se em um ambiente em que: 1) o projetista da aplicação define as tarefas, métricas e questionários que serão aplicados; 2)o usuário execute as tarefas na aplicação alvo; 3)usando-se da técnica de Log de eventos os dados sao armazenados; 4) questionários são respondidos pelo usuário; 5)o ambiente analisa e emite um diagnóstico da avaliação.

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Section: Discussionunclassified

“…Dentre os métodos de análises de tarefas mais usuais pode-se evidenciar: HTA (Hierarchical Task Analysis); GOMS(Goals, Operators, Methods, and Selection Rules); e CTT (Concur Task Trees). O uso desses métodos podem ser constatados nos estudos [de Maya et al 2022], [Wang et al 2021] e [Atanasova and Malinova 2017].…”

Section: Tarefasunclassified

Uma Proposta para Automatização de Avaliação de Usabilidade/UX

Garcia,

Morandini,

Oliveira Jr

2023

Anais Da VII Escola Regional De Engenharia De Software (ERES 2023)

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“…Penelitian mengenai kesalahan yang disebabkan oleh manusia sudah banyak dilakukan karena pentingnya bagi keselamatan pekerja, mesin dan lingkungannya. Beberapa peneliti seperti Navas de Maya et al (2022), mendapatkan enam kesalahan respons manusia paling mungkin terjadi, dengan probabilitas kesalahan manusia pada prosedur dan perilaku pekerja ketika memadamkan api ketika terjadi kebakaran. Rammadaniya and Mahbubah (2022) mengetahui kesalahan manusia pada Refinery Salt Production hasilnya human error yang paling terlihat berupa pengecekan tidak lengkap, dan operator jarang melakukan pengecekan secara lengkap.…”

Section: Pendahuluanunclassified

The ANALISIS HUMAN ERROR PADA PENGOPERASIAN MESIN PENGGERAK KAPAL PENANGKAP IKAN DI BITUNG SULAWESI UTARA

Abrori,

Demeianto,

Siahaan

et al. 2023

COJ

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Pengoperasian mesin penggerak kapal cukup kompleks, memerlukan keahlian dan keterampilan yang layak untuk dapat mengoperasikan mesin. banyaknya kesalahan dalam mengoperasikan mesin merupakan hal yang mungkin terjadi. Tujuan penelitian ini menganalisis terjadinya kesalahan mengoperasikan mesin penggerak kapal yang disebabkan oleh human eror. Untuk mendapatkan hasil yang valid, pengamatan kru ketika mengoperasikan mesin dilakukan, setiap pekerjaan di breakdown untuk mendapatkan pekerjaan spesifik secara detail dengan Hierarkikal task analisis. Data yang dihasilkan dengan Systematic Human Error Reduction and Prediction Approach (SHERPA) dianalisis secara komprehensif. Hasilnya di dapatkan 21 pekerjaan spesifik dengan kriteria pemeriksaan, aksi dan komunikasi. Human error yang terjadi pada profil risiko rendah dan sedang. Rekomendasi diberikan untuk memperbaiki profil risiko. Hasil penelitian ini memberikan dampak yang signifikan untuk mengatasi permasalahan pengoperasian mesin yang disebabkan kesalahan manusia.

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“…When computing GTT, EPCs, and assessed proportion of affect (APOA) [ 5 ], the HEART relies heavily on expert assessment. The collected findings are analyzed using limited methodologies, and subjective outcomes are obtained based on the opinions of experts, which necessarily increases the amount of inaccuracies [ 6 ]. Since the value of HEP depends on the subjective evaluations of GTT, EPCs, and APOA, it is a subjective value that may fluctuate depending on which experts conduct the evaluations.…”

Section: Introductionmentioning

confidence: 99%

Nurse-Task Matching Decision Support System Based on FSPC-HEART Method to Prevent Human Errors for Sustainable Healthcare

Koseoglu

Delice

Rouyendegh³

2023

Int J Comput Intell Syst

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To increase the levels of sustainability of service quality as well as to ensure satisfaction and assurance of patients in the health sector, minimizing the probability of making mistakes nurses is of great importance. The extent of this probability is considerably affected by task types, physical conditions of the working environment, workload, and working conditions. Moreover, the physical and mental characteristics of nurses also have a colossal influence on this probability. It is also possible to increase the sustainability of health services by matching nurses appropriately to a specific task according to related risk levels, and by balancing their workload accordingly. This study proposes FSPC-HEART method in that purpose, as a new type of human error reduction and assessment technique (HEART) application based on fuzzy step-wise weight assessment ratio analysis and principal component analysis methods. Unlike the methods in the literature, this new method offers a person-specific proactive error prevention approach. With FSPC-HEART, the probability of each nurse to make a mistake, that is, the human error probability (HEP) values are calculated separately for each task. Also, the combined effect of physical and mental workload factors for each employee was taken into account. In the proposed method, the effect of the subjective judgments of the decision-makers on the objectively obtained HEP values was tried to be reduced. The developed nurse-task matching decision support system enables the FSPC-HEART method to be easily used by decision-makers, and to assign employees to tasks with low error probabilities.

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A practical application of the Hierarchical Task Analysis (HTA) and Human Error Assessment and Reduction Technique (HEART) to identify the major errors with mitigating actions taken after fire detection onboard passenger vessels

Cited by 13 publications

References 15 publications

Uma Proposta para Automatização de Avaliação de Usabilidade/UX

Uma Proposta para Automatização de Avaliação de Usabilidade/UX

The ANALISIS HUMAN ERROR PADA PENGOPERASIAN MESIN PENGGERAK KAPAL PENANGKAP IKAN DI BITUNG SULAWESI UTARA

Nurse-Task Matching Decision Support System Based on FSPC-HEART Method to Prevent Human Errors for Sustainable Healthcare

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