{"id":92138,"date":"2019-07-09T12:00:18","date_gmt":"2019-07-09T09:00:18","guid":{"rendered":"https:\/\/www.proscon.com.tr\/?page_id=92138"},"modified":"2023-07-21T22:48:00","modified_gmt":"2023-07-21T19:48:00","slug":"human-factors-and-human-error","status":"publish","type":"page","link":"https:\/\/www.proscon.com.tr\/en\/human-factors-and-human-error\/","title":{"rendered":"Human Factors and Human Error"},"content":{"rendered":"<div class=\"wpb-content-wrapper\"><p>[vc_row row_height_percent=&#8221;0&#8243; back_image=&#8221;88271&#8243; overlay_alpha=&#8221;50&#8243; gutter_size=&#8221;3&#8243; column_width_percent=&#8221;100&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; enable_bottom_divider=&#8221;default&#8221; bottom_divider=&#8221;gradient&#8221; shape_bottom_h_use_pixel=&#8221;&#8221; shape_bottom_height=&#8221;150&#8243; shape_bottom_opacity=&#8221;100&#8243; shape_bottom_index=&#8221;0&#8243; uncode_shortcode_id=&#8221;115128&#8243;][vc_column width=&#8221;1\/1&#8243;][vc_custom_heading heading_semantic=&#8221;h1&#8243; text_size=&#8221;h1&#8243; separator=&#8221;yes&#8221; separator_color=&#8221;yes&#8221; sub_reduced=&#8221;yes&#8221; uncode_shortcode_id=&#8221;167660&#8243;]Human Factors and Human Error[\/vc_custom_heading][\/vc_column][\/vc_row][vc_row][vc_column width=&#8221;1\/1&#8243;][vc_column_text uncode_shortcode_id=&#8221;122677&#8243;]<strong> <\/strong><strong>Meltem S\u00d6\u011e\u00dcTCEPINAR<br \/>\n<\/strong> Chemical Engineer<\/p>\n<p>&nbsp;<\/p>\n<h2>Human Factors and Human Error<\/h2>\n<p>According to Whittingham, human error is defined as \u201can undesirable failure of a purposeful action, either alone or as part of a planned series of actions, to achieve a specified outcome, both within the defined tolerance limits for the action itself and the outcome.\u201d<sup>[1] As a result of increasing chemical facilities day by day, the number of work accidents due to human origin in the chemical industry is also increasing.<\/sup> When the root causes of accidents in the chemical industry are examined, it is understood that 65% of them are human-related accidents.<\/p>\n<p>Figure 1. Root cause rates of accidents in the Chemical Industry[\/vc_column_text][vc_single_image media=&#8221;79846&#8243; media_lightbox=&#8221;yes&#8221; media_width_percent=&#8221;65&#8243; lbox_skin=&#8221;white&#8221;][vc_column_text]Human factors are used to identify and reduce the sources and consequences of human errors. The human factor is a discipline that considers human interaction with the rest of the system, such as the environment, facilities, equipment.<\/p>\n<p>The three aspects that human factors consider are as follows.<\/p>\n<ul>\n<li>To ensure <strong><u>ergonomics<\/u><\/strong> in the working environment by matching the design and operating procedures of the equipment with the physical abilities of the operators.<\/li>\n<li>Matching equipment design and operating procedures with operators&#8217; <strong><u>cognitive abilities and characteristics.<\/u><\/strong><\/li>\n<li>Assessing how the organization&#8217;s <strong><u>safety culture<\/u><\/strong> and attitude affects the way processes are run.<\/li>\n<\/ul>\n<p>The purpose of using human factors is to evaluate human performance in the current situation and to continue to protect process safety by determining and taking necessary actions. This is achieved by analyzing the capabilities and limits of those working in the facility and matching them to equipment and processes.<\/p>\n<p>While most of the early studies were concerned with the physical abilities of the employee when analyzing the abilities and limits of an employee in a facility, today these analyzes focus on mental tasks as well as physical tasks. In this way, the task distribution in the facility is made in the most efficient way, and the tasks are automated.<\/p>\n<p>Even though developing technology and modern control systems have a high degree of automation, people still have overall responsibility for the safe and economical operation of the plant. For this reason, in order for humans to be able to provide this capability, systems that protect and tolerate human errors and trainings are required to improve the decision making of operators in these abnormal situations.<\/p>\n<p>Human errors occur in the ergonomics, cognitive factors, and safety culture deficiencies that the human factor takes into account. At this point, human errors arising from two main sources are related to engineering. The first of these is the <strong>accident investigation<\/strong>, and the second is the <strong>hazard assessment<\/strong>, in which the interaction between human and system performance can be evaluated. When human error root cause accidents are examined, the obvious predominance of human errors is noticed. The main causes of human errors are given in Figure 2.<\/p>\n<p>.[\/vc_column_text][vc_single_image media=&#8221;79848&#8243; media_lightbox=&#8221;yes&#8221; media_width_percent=&#8221;100&#8243; lbox_skin=&#8221;white&#8221;][vc_column_text uncode_shortcode_id=&#8221;158865&#8243;]\u015eekil 2. \u0130nsan Hatalar\u0131n\u0131n Nedenleri <sup>[2]<\/sup><\/p>\n<p>\u0130nsan hatas\u0131na sistematik bir yakla\u015f\u0131mda hatalar s\u0131n\u0131fland\u0131r\u0131lm\u0131\u015f olmal\u0131 ve do\u011frudan veya dolayl\u0131 \u015fekilde uygun modellere dayand\u0131r\u0131lmal\u0131d\u0131r. S\u0131n\u0131fland\u0131rman\u0131n tek boyutta olmas\u0131 gerekmemektedir. Tesiste \u00e7al\u0131\u015fanlar\u0131n \u00e7o\u011fu s\u0131n\u0131fland\u0131rmay\u0131 iki boyutlu olarak y\u00fcr\u00fctmektedir.<\/p>\n<ul>\n<li>\u0130nsan davran\u0131\u015f\u0131<\/li>\n<li>G\u00f6rev \u00f6zellikleri<\/li>\n<\/ul>\n<p>\u0130nsan hatas\u0131 s\u0131n\u0131fland\u0131rmas\u0131nda g\u00fcn\u00fcm\u00fczde de\u011ferlendirme i\u00e7ine al\u0131nan bili\u015fsel fakt\u00f6r ise bir di\u011fer \u00f6nemli konudur. Rasmussen<sup>[3]<\/sup> proses kontrol\u00fc gibi bir g\u00f6revi yerine getirmek i\u00e7in 3 insan yakla\u015f\u0131m\u0131 tipi veya seviyesi ay\u0131rt etmektedir. Bu tip veya seviyeler a\u015fa\u011f\u0131daki gibidir.<\/p>\n<ul>\n<li>Beceri bazl\u0131<\/li>\n<li>Kural bazl\u0131<\/li>\n<li>Bilgi bazl\u0131<\/li>\n<\/ul>\n<p>Operat\u00f6r davran\u0131\u015f\u0131n\u0131n Rasmussen taraf\u0131ndan tan\u0131mlanmas\u0131, genellikle Beceri-Kural-Bilgi (SRK) Modeli olarak adland\u0131r\u0131lmaktad\u0131r. Beceri bazl\u0131 davran\u0131\u015flar veriye dayal\u0131 yeni bilgi kullanmadan yap\u0131lan otonom davran\u0131\u015flard\u0131r. Kural bazl\u0131 davran\u0131\u015flar ise bilin\u00e7li olarak kontrol edilmekte ve hedeflenmektedir. Bilgi bazl\u0131 davran\u0131\u015flar ise bilin\u00e7lidir ve ak\u0131l y\u00fcr\u00fctmeyi i\u00e7ermektedir. Literat\u00fcrde SRK modeli d\u0131\u015f\u0131nda talep-kapasite uyumsuzlu\u011fu modeli, tolerans de\u011fi\u015fkenli\u011fi modeli, zaman kullan\u0131labilirli\u011fi modeli, beceriler-kurallar modeli, devams\u0131zl\u0131k modeli, \u00f6rg\u00fctsel model, ihllaller gibi farkl\u0131 insan hata modelleri mevcuttur.<\/p>\n<h2>\u0130nsan Hatas\u0131 De\u011ferlendirilmesinde \u0130nsan Fakt\u00f6r\u00fc<\/h2>\n<p>\u0130nsan hatas\u0131 analizinde de\u011ferlendirme yakla\u015f\u0131m\u0131, becerinin niteli\u011fi, \u00f6\u011frenme s\u00fcrecindeki etkinli\u011fi ve stres alt\u0131nda \u00f6\u011frendi\u011fini entegre edebilme ba\u015fl\u0131klar\u0131n\u0131 dikkate alarak mevcut yetene\u011fi ara\u015ft\u0131rma e\u011filimindedir.<\/p>\n<p>\u0130nsan hatas\u0131n\u0131n kantitatif de\u011ferlendirmesi i\u00e7in a\u00e7\u0131klanan y\u00f6ntemler, \u00f6ncelikle insan hatas\u0131yla ilgili veri talebine ihtiya\u00e7 duymaktad\u0131r. \u0130nsan hatas\u0131 ile ilgili veriler birka\u00e7 y\u00f6ntem ile elde edilebilmektedir. Bu y\u00f6ntemler a\u015fa\u011f\u0131da listelenmi\u015ftir.<\/p>\n<ul>\n<li>Dok\u00fcmantasyondaki g\u00f6rev analizi<\/li>\n<li>Do\u011frudan g\u00f6zlemleme<\/li>\n<li>Sorgulama<\/li>\n<li>Uzmanlardan gelen bilgilerden sonu\u00e7 \u00e7\u0131karma<\/li>\n<\/ul>\n<p>CCPS ayr\u0131ca insan hata verisi toplama ve veri toplama sistemleri \u00fczerinde de \u00e7al\u0131\u015fmaktad\u0131r. Ve CCPS k\u0131lavuzunda baz\u0131 data toplama sistemleri,<\/p>\n<ul>\n<li>Olay Raporlama ve Ara\u015ft\u0131rma Sistemi (IRIS)<\/li>\n<li>K\u00f6k Neden Analiz Sistemi (RCAS)<\/li>\n<li>Ramak Kala Olay Raporlama Sistemi (NMRS)<\/li>\n<li>Kantitatif \u0130nsan G\u00fcvenilirli\u011fi Veri Toplama Sistemi (QHRDCS).<\/li>\n<\/ul>\n<p>\u0130nsan hatas\u0131 modellerinin ve s\u0131n\u0131fland\u0131rmalar\u0131n\u0131n \u00e7o\u011funun uyguland\u0131\u011f\u0131 genel \u00e7er\u00e7eve, g\u00f6rev analizi ile ilgilidir. G\u00f6revler, planlar ve eylemler gibi unsurlara ayr\u0131\u015ft\u0131r\u0131l\u0131r ve bunlarla ilgili hatalar modellenmekte ve s\u0131n\u0131fland\u0131r\u0131lmaktad\u0131r. Belirli modellerin uyguland\u0131\u011f\u0131 genel bir \u00e7er\u00e7eve olmas\u0131n\u0131n yan\u0131 s\u0131ra, g\u00f6rev analizi, \u00f6zellikle hiyerar\u015fik g\u00f6rev analizi, kendi ba\u015f\u0131na bir model olarak kabul edilebilmektedir. \u0130nsan hatas\u0131n\u0131n yayg\u0131n bir s\u0131n\u0131fland\u0131rmas\u0131, eylemler a\u00e7\u0131s\u0131ndand\u0131r. Bu tip bir s\u0131n\u0131fland\u0131rma, ihmal, g\u00f6revlendirme, aksiyon almadaki gecikmeler vb. anlam\u0131na gelmektedir.<\/p>\n<p>G\u00f6rev Analizi ayn\u0131 zamanda insan hatas\u0131 de\u011ferlendirmelerinde kullan\u0131lan bir yakla\u015f\u0131md\u0131r. G\u00f6rev analizi, \u00e7e\u015fitli ama\u00e7lar i\u00e7in geli\u015ftirilmi\u015f farkl\u0131 metodolojiler kullanan bir tekniktir. \u00d6rne\u011fin, g\u00f6rev analizi; bilgi gereksinimlerinin belirlenmesinde, i\u015fletme prosed\u00fcrlerini yazmada, e\u011fitim ihtiya\u00e7lar\u0131n\u0131 belirlemede, g\u00f6reve atama seviyelerini belirlemede, olas\u0131l\u0131kl\u0131 g\u00fcvenlik de\u011ferlendirilmesindeki insan g\u00fcvenirli\u011fini hesaplamada ve problemleri ara\u015ft\u0131rmada yard\u0131mc\u0131 olmaktad\u0131r.<\/p>\n<h2>Kantitatif \u0130nsan G\u00fcvenilirli\u011fi Analizi (HRA)<\/h2>\n<p>Kantitatif Risk Analizi (QRA) kapsam\u0131nda insan hatas\u0131n\u0131n de\u011ferlendirilmesi \u00e7o\u011funlukla Bow-Tie analizi k\u0131sm\u0131nda ele al\u0131nmaktad\u0131r, ancak insan aksiyonu ayn\u0131 zamanda olay a\u011fac\u0131nda, bariyerlere veya korucuyu \u00f6nlemlerde g\u00f6r\u00fclebilmektedir. \u0130nsan faaliyeti g\u00f6revlere g\u00f6re par\u00e7alara ayr\u0131labilir hatta g\u00f6revin elementlerine g\u00f6re de ayr\u0131labilir. Bu par\u00e7alanm\u0131\u015f unsurlar\u0131n her birine ayr\u0131 ayr\u0131 hata oran\u0131 atanabilmektedir. \u0130nsan\u0131n bir par\u00e7as\u0131 oldu\u011fu genel sistemin g\u00fcvenilirli\u011fi, \u00e7e\u015fitli bile\u015fenlerin g\u00fcvenilirli\u011finin do\u011frusal bir kombinasyonu ile bulunabilmektedir.<\/p>\n<p>Proses Risk De\u011ferlendirmesi i\u00e7erisinde insan hatas\u0131na ilk sistematik yakla\u015f\u0131m Swain ve i\u015f arkada\u015flar\u0131 taraf\u0131ndan geli\u015ftirilen \u0130nsan Hata Oran\u0131 Tahmin Tekni\u011fi (THERP) tekni\u011fidir. Three Mile\u2019daki kaza sonucu insan g\u00fcvenilirli\u011fi analizi \u00e7al\u0131\u015fmalar\u0131 h\u0131zland\u0131r\u0131ld\u0131 ve N\u00fckleer Enerji Santrali Uygulamalar\u0131na odaklanan \u0130nsan G\u00fcvenirlik Analizi El Kitab\u0131 (HRA Handbook), Nihai Rapor yay\u0131mland\u0131. El kitab\u0131nda kullan\u0131lan genel yakla\u015f\u0131m \u015eekil 3\u2019te g\u00f6sterilmektedir.[\/vc_column_text][vc_column_text]Figure 2. Causes of Human Error <sup>[2]<\/sup><\/p>\n<p>In a systematic approach to human error, errors should be classified and directly or indirectly based on appropriate models. The classification need not be one-dimensional. Most of the employees at the facility carry out the classification in two dimensions.<\/p>\n<ul>\n<li>Human behavior<\/li>\n<li>Task speciality<\/li>\n<\/ul>\n<p>The cognitive factor, which is included in the evaluation in human error classification, is another important issue. Rasmussen <sup>[3]<\/sup> distinguishes 3 types or levels of human approach to performing a task such as process control. These types or levels are as follows.<\/p>\n<ul>\n<li>Skill based,<\/li>\n<li>Rule based,<\/li>\n<li>Knowledge based.<\/li>\n<\/ul>\n<p>The description of operator behavior by Rasmussen is often referred to as the Skill-Rule- Knowledge (SRK) Model. Skill-based behaviors are autonomous behaviors without using new knowledge based on data. Rule-based behaviors are consciously controlled and targeted. Knowledge-based behaviors are conscious and involve reasoning. In the literature, apart from the SRK model, there are different human error models such as demand-capacity mismatch model, tolerance variability model, time availability model, skills-rules model, absenteeism model, organizational model, violations.<\/p>\n<h2>The Human Factor in the Assessment of Human Error<\/h2>\n<p>Evaluation approach in human error analysis tends to search for existing talent, considering the quality of the skill, the effectiveness in the learning process, and the ability to integrate learning under stress.<\/p>\n<p>The methods described for the quantitative assessment of human error primarily require a request for data on human error. Data on human error can be obtained by several methods. These methods are listed below.<\/p>\n<ul>\n<li>Task analysis in documentation<\/li>\n<li>Direct observation<\/li>\n<li>Inquiry<\/li>\n<li>Drawing conclusions from information from experts<\/li>\n<\/ul>\n<p>CCPS also works on human error data collection and data collection systems. And some data collection systems in the CCPS manual,<\/p>\n<ul>\n<li>Incident Reporting and Investigation System (IRIS)<\/li>\n<li>Root Cause Analysis System (RCAS)<\/li>\n<li>Near Miss Reporting System (NMRS)<\/li>\n<li>Quantitative Human Reliability Data Collection System (QHRDCS).<\/li>\n<\/ul>\n<p>The general framework in which most human error models and classifications are applied relates to task analysis. Tasks are decomposed into elements such as plans and actions, and related errors are modeled and classified. Besides being a general framework in which specific models are applied, task analysis, especially hierarchical task analysis, can be considered a model in its own right. A common classification of human error is in terms of actions. This type of classification may result in negligence, assignment, delays in acting, etc. means.<\/p>\n<p>Task Analysis is also an approach used in human error assessments. Task analysis is a technique that uses different methodologies developed for various purposes. For example, task analysis; It assists in identifying information needs, writing operating procedures, identifying training needs, determining assignment levels, calculating human reliability in probabilistic security assessments, and investigating problems.<\/p>\n<h2>Quantitative Human Reliability Analysis (HRA)<\/h2>\n<p>Evaluation of human error in Quantitative Risk Analysis (QRA) is mostly covered in Bow- Tie analysis, but human action can also be seen in event tree, barriers or guard measures. Human activity can be segmented according to tasks or even according to the elements of the task. Each of these fragmented elements can be assigned a separate error rate. The reliability of the overall system of which the human is a part can be found by a linear combination of the reliability of the various components.<\/p>\n<p>The first systematic approach to human error within Process Risk Assessment is the Human Error Rate Estimation Technique (THERP) technique developed by Swain and colleagues. Accidental human safety analysis work at Three Mile was accelerated and the Handbook of Human Reliability Analysis with Emphasis on Nuclear Power Plant Applications, Final Report was published. The general approach used in the handbook is shown in Figure 3.[\/vc_column_text][vc_single_image media=&#8221;79850&#8243; media_lightbox=&#8221;yes&#8221; media_width_percent=&#8221;60&#8243; lbox_skin=&#8221;white&#8221;][vc_column_text]Figure 3. Human Reliability Analysis Methodology<\/p>\n<p>Tasks to be performed are defined as part of the basic process risk analysis. The HRA, on the other hand, evaluates the reliability in the performance of these tasks. One of the quantitative Human Reliability analysis techniques is THERP and the starting point is a task analysis for each job to be done. This method is based on the original THERP technique and uses the aforementioned approach of breaking down tasks into small chunks. The basic assumption is that the task performed was planned.<\/p>\n<p>There is an increasing trend to experimental work with operators on simulators to relate the probability of operators to failure over time.<\/p>\n<p>In particular, Time Reliability Correlation (TRC) is used to obtain probabilities of human error in complex or non-routine processes, including the management of an emergency. The underlying assumption of such a TRC is that time dominates, although in principle there are other factors that affect operator performance on such tasks. A series of TRC models have been produced based on the simulator results. The task analysis approach on which THERP is based is not well adapted to keeping operators&#8217; behavior in an anomalous state. For this, TRC approach is used.<\/p>\n<p>Factors affecting operator performance other than time,<\/p>\n<ul>\n<li>External factors,<\/li>\n<li>Situational features<\/li>\n<li>The task and the characteristics of the equipment,<\/li>\n<li>Work and task procedures,<\/li>\n<li>Internal factors<\/li>\n<li>Stress sources<\/li>\n<\/ul>\n<p>As all these factors were determined, new human reliability analysis methods were produced. The main human error analysis methods in the literature,<\/p>\n<ul>\n<li>THERP<\/li>\n<li>ASEP<\/li>\n<li>HEART<\/li>\n<li>TRC<\/li>\n<li>ATHEANA<\/li>\n<li>SLIM- MAUD<\/li>\n<li>TESEO<\/li>\n<\/ul>\n<p>Human behaviors and performances are cited as the root cause of most of the accidents that occur in the process area. The human factor in the decision-making process, even involuntarily, is the main cause of events directly related to the use of the product. The human factor must be better understood, and the knowledge applied more broadly if the accident rate is to be reduced. Figure 4 shows the framework that needs to be installed in order to maintain human reliability.[\/vc_column_text][vc_single_image media=&#8221;79852&#8243; media_lightbox=&#8221;yes&#8221; media_width_percent=&#8221;38&#8243; lbox_skin=&#8221;white&#8221;][vc_column_text]Figure 4. Controlling Human Error <sup>[4]<\/sup><\/p>\n<p><a href=\"https:\/\/www.proscon.com.tr\/teknik-makaleler\/\">Click here<\/a> to review our other technical publications such as <strong><em><u>Human Factors and Human Error.<\/u><\/em><\/strong><\/p>\n<h2>References<\/h2>\n<p>[1] The blame machine : why human error causes accidents \/ Robert B. Whittingham. Elsevier (2004)<\/p>\n<p>[2] MHRA Annual Statistics, 2011<\/p>\n<p>[3] Mannan, S., Lees\u2019 Process Safety Essentials Hazard Identification, Assessment and Control<\/p>\n<p>[4] Bridges, W., Tew, R., Human Factors Elements Missing from Process Safety Management (PSM), American Institute of Chemical Engineers 2010 Spring Meeting 6th Global Congress on Process Safety and the 44th Annual Loss Prevention Symposium, San Antonio, Texas, 2010 from <a href=\"http:\/\/www.process-improvement-institute.com\/_downloads\/Human_Factors_Elements_Missing_from_PSM.pdf\">http:\/\/www.process-improvement-institute.com\/_downloads\/Human_Factors_Elements_Missing_from_PSM.pdf<\/a>[\/vc_column_text][\/vc_column][\/vc_row]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>[vc_row row_height_percent=&#8221;0&#8243; back_image=&#8221;88271&#8243; overlay_alpha=&#8221;50&#8243; gutter_size=&#8221;3&#8243; column_width_percent=&#8221;100&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; enable_bottom_divider=&#8221;default&#8221; bottom_divider=&#8221;gradient&#8221; shape_bottom_h_use_pixel=&#8221;&#8221; shape_bottom_height=&#8221;150&#8243; shape_bottom_opacity=&#8221;100&#8243; shape_bottom_index=&#8221;0&#8243; uncode_shortcode_id=&#8221;115128&#8243;][vc_column width=&#8221;1\/1&#8243;][vc_custom_heading heading_semantic=&#8221;h1&#8243; text_size=&#8221;h1&#8243; separator=&#8221;yes&#8221; separator_color=&#8221;yes&#8221; [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":90835,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[],"tags":[],"class_list":["post-92138","page","type-page","status-publish","has-post-thumbnail","hentry","page_category-technical-article"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/www.proscon.com.tr\/en\/wp-json\/wp\/v2\/pages\/92138","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.proscon.com.tr\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.proscon.com.tr\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.proscon.com.tr\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.proscon.com.tr\/en\/wp-json\/wp\/v2\/comments?post=92138"}],"version-history":[{"count":0,"href":"https:\/\/www.proscon.com.tr\/en\/wp-json\/wp\/v2\/pages\/92138\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.proscon.com.tr\/en\/wp-json\/wp\/v2\/media\/90835"}],"wp:attachment":[{"href":"https:\/\/www.proscon.com.tr\/en\/wp-json\/wp\/v2\/media?parent=92138"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.proscon.com.tr\/en\/wp-json\/wp\/v2\/categories?post=92138"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.proscon.com.tr\/en\/wp-json\/wp\/v2\/tags?post=92138"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}