{"id":570,"date":"2025-05-12T10:15:30","date_gmt":"2025-05-12T08:15:30","guid":{"rendered":"https:\/\/websites.fraunhofer.de\/ki-fortschrittszentrum\/?post_type=projekt&#038;p=570"},"modified":"2025-09-04T10:55:42","modified_gmt":"2025-09-04T08:55:42","slug":"collaboration-between-man-and-machine-2-0","status":"publish","type":"projekt","link":"https:\/\/www.ki-fortschrittszentrum.de\/en\/projekt\/kollaboration-mensch-und-maschine-2-0\/","title":{"rendered":"Collaboration between man and machine 2.0"},"content":{"rendered":"<div class=\"wp-block-stackable-columns stk-block-columns stk-block stk-86663cd stk-block-background stk--has-background-overlay\" data-block-id=\"86663cd\"><style>.stk-86663cd {background-image:url(https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/05\/KI-Fortschrittszentrum_321_AIX_Kollaboration-Mensch-und-Maschine_Teaser.jpg) !important;min-height:520px !important;align-items:flex-end !important;padding-bottom:0px !important;margin-bottom:0px !important;display:flex !important;}<\/style><div class=\"stk-row stk-inner-blocks stk-block-content stk-content-align stk-86663cd-column\">\n<div class=\"wp-block-stackable-column stk-block-column stk-column stk-block stk-5a28863\" data-v=\"4\" data-block-id=\"5a28863\"><div class=\"stk-column-wrapper stk-block-column__content stk-container stk-5a28863-container stk--no-background stk--no-padding\"><div class=\"stk-block-content stk-inner-blocks stk-5a28863-inner-blocks\">\n<div class=\"wp-block-stackable-columns stk-block-columns stk-block stk-3e4895d\" data-block-id=\"3e4895d\"><div class=\"stk-row stk-inner-blocks stk-block-content stk-content-align stk-3e4895d-column\">\n<div class=\"wp-block-stackable-column stk-block-column stk-column stk-block stk-a094f1e\" data-v=\"4\" data-block-id=\"a094f1e\"><style>@media screen and (min-width:690px){.stk-a094f1e {flex:var(--stk-flex-grow, 1) 1 calc(30% - var(--stk-column-gap, 0px) * 2 \/ 3 ) !important;}}<\/style><div class=\"stk-column-wrapper stk-block-column__content stk-container stk-a094f1e-container stk--no-background stk--no-padding\"><div class=\"stk-block-content stk-inner-blocks stk-a094f1e-inner-blocks\"><\/div><\/div><\/div>\n\n\n\n<div class=\"wp-block-stackable-column stk-block-column stk-column stk-block stk-ba57710\" data-v=\"4\" data-block-id=\"ba57710\"><style>@media screen and (min-width:690px){.stk-ba57710 {flex:var(--stk-flex-grow, 1) 1 calc(30% - var(--stk-column-gap, 0px) * 2 \/ 3 ) !important;}}<\/style><div class=\"stk-column-wrapper stk-block-column__content stk-container stk-ba57710-container stk--no-background stk--no-padding\"><div class=\"stk-block-content stk-inner-blocks stk-ba57710-inner-blocks\"><\/div><\/div><\/div>\n\n\n\n<div class=\"wp-block-stackable-column stk-block-column stk-column stk-block stk-4764f29 stk-block-background\" data-v=\"4\" data-block-id=\"4764f29\"><style>.stk-4764f29 {align-self:flex-end !important;background-color:var(--theme-palette-color-8, #ffffff) !important;padding-top:0px !important;padding-right:0px !important;padding-bottom:0px !important;padding-left:0px !important;}.stk-4764f29-inner-blocks{justify-content:flex-end !important;}.stk-4764f29:before{background-color:var(--theme-palette-color-8, #ffffff) !important;}@media screen and (min-width:690px){.stk-4764f29 {flex:var(--stk-flex-grow, 1) 1 calc(40% - var(--stk-column-gap, 0px) * 2 \/ 3 ) !important;}}<\/style><div class=\"stk-column-wrapper stk-block-column__content stk-container stk-4764f29-container stk--no-background stk--no-padding\"><div class=\"stk--column-flex stk-block-content stk-inner-blocks stk-4764f29-inner-blocks\">\n<div class=\"wp-block-greenshift-blocks-container gspb_container gspb_container-gsbp-933ef16\" id=\"gspb_container-id-gsbp-933ef16\">\n<div class=\"wp-block-stackable-image stk-block-image has-text-align-left stk-block stk-1690316\" data-block-id=\"1690316\"><style>.stk-1690316 {margin-bottom:36px !important;}.stk-1690316 .stk-img-wrapper{width:50% !important;}<\/style><figure><span class=\"stk-img-wrapper stk-image--shape-stretch\"><img loading=\"lazy\" decoding=\"async\" class=\"stk-img\" src=\"https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/05\/KI-Fortschrittszentrum_321_AIX_Kollaboration-Mensch-und-Maschine_Logo.jpg\" width=\"50\" height=\"300\"\/><\/span><\/figure><\/div>\n\n\n\n<div class=\"wp-block-stackable-text stk-block-text stk-block stk-97d4068\" data-block-id=\"97d4068\"><style>.stk-97d4068 {margin-bottom:12px !important;}.stk-97d4068 .stk-block-text__text{font-size:16px !important;line-height:1.4em !important;font-weight:500 !important;font-style:italic !important;font-family:Constantia, Lucida Bright, Lucidabright, \"Lucida Serif\", Lucida, \"DejaVu Serif\", \"Bitstream Vera Serif\", \"Liberation Serif\", Georgia, serif !important;}@media screen and (max-width:999px){.stk-97d4068 .stk-block-text__text{font-size:16px !important;}}<\/style><p class=\"stk-block-text__text\">\"Fraunhofer IPA's User Needs Assessment enabled us to define a number of optimization potentials for our assembly workstations. In addition, possibilities for the use of AI in various work processes were identified, which we can use to support our assembly employees to a considerable extent and thus reduce the error rate.\"<\/p><\/div>\n\n\n\n<div class=\"wp-block-greenshift-blocks-container gspb_container gspb_container-gsbp-eafe0ac\" id=\"gspb_container-id-gsbp-eafe0ac\">\n<div class=\"wp-block-stackable-text stk-block-text stk-block stk-25dc0f8\" data-block-id=\"25dc0f8\"><style>.stk-25dc0f8 {padding-top:0px !important;padding-bottom:0px !important;margin-top:0px !important;margin-bottom:0px !important;}.stk-25dc0f8 .stk-block-text__text{font-size:15px !important;}@media screen and (max-width:999px){.stk-25dc0f8 .stk-block-text__text{font-size:15px !important;}}<\/style><p class=\"stk-block-text__text has-text-align-left\">Steffen Schmitz<\/p><\/div>\n\n\n\n<div class=\"wp-block-stackable-text stk-block-text stk-block stk-d634667\" data-block-id=\"d634667\"><style>.stk-d634667 {align-items:flex-start !important;padding-top:0px !important;padding-bottom:0px !important;margin-top:0px !important;margin-bottom:0px !important;display:flex !important;}.stk-d634667 .stk-block-text__text{font-size:15px !important;font-weight:200 !important;}@media screen and (max-width:999px){.stk-d634667 .stk-block-text__text{font-size:15px !important;}}<\/style><p class=\"stk-block-text__text has-text-align-left\">TEKON Pr\u00fcftechnik GmbH<\/p><\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-greenshift-blocks-container gspb_container gspb_container-gsbp-1fa6a74\" id=\"gspb_container-id-gsbp-1fa6a74\">\n<div class=\"wp-block-stackable-text stk-block-text stk-block stk-be1fdb3\" data-block-id=\"be1fdb3\"><style>.stk-be1fdb3 {padding-top:0px !important;padding-bottom:12px !important;margin-top:0px !important;margin-bottom:0px !important;}.stk-be1fdb3 .stk-block-text__text{font-size:15px !important;color:#ffffff80 !important;}@media screen and (max-width:999px){.stk-be1fdb3 .stk-block-text__text{font-size:15px !important;}}<\/style><p class=\"stk-block-text__text has-text-color has-text-align-left\">Contact at the AI Innovation Center<\/p><\/div>\n\n\n\n<div class=\"wp-block-stackable-text stk-block-text stk-block stk-24ffa5e\" data-block-id=\"24ffa5e\"><style>.stk-24ffa5e {padding-top:0px !important;padding-bottom:0px !important;margin-top:0px !important;margin-bottom:0px !important;}.stk-24ffa5e .stk-block-text__text{font-size:15px !important;color:#ffffff !important;}@media screen and (max-width:999px){.stk-24ffa5e .stk-block-text__text{font-size:15px !important;}}<\/style><p class=\"stk-block-text__text has-text-color has-text-align-left\">Christian Jauch<\/p><\/div>\n\n\n\n<div class=\"wp-block-stackable-button-group stk-block-button-group stk-block stk-af007b4\" data-block-id=\"af007b4\"><style>.stk-af007b4 {padding-top:0px !important;padding-right:0px !important;padding-bottom:0px !important;padding-left:0px !important;margin-top:0px !important;margin-right:0px !important;margin-bottom:0px !important;margin-left:0px !important;}<\/style><div class=\"stk-row stk-inner-blocks stk-block-content stk-button-group\">\n<div class=\"wp-block-stackable-button stk-block-button is-style-plain stk-block stk-1cf8bea\" data-block-id=\"1cf8bea\"><style>.stk-1cf8bea .stk-button{padding-top:0px !important;padding-right:0px !important;padding-bottom:0px !important;padding-left:0px !important;background:transparent !important;}.stk-1cf8bea .stk-button:hover:after{background:transparent !important;opacity:1 !important;}:where(.stk-hover-parent:hover,  .stk-hover-parent.stk--is-hovered) .stk-1cf8bea .stk-button:after{background:transparent !important;opacity:1 !important;}.stk-1cf8bea .stk-button__inner-text{font-size:15px !important;color:var(--theme-palette-color-8, #ffffff) !important;font-weight:200 !important;}@media screen and (max-width:999px){.stk-1cf8bea .stk-button__inner-text{font-size:15px !important;}}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"mailto:christian.jauch@ipa.fraunhofer.de\" title=\"christian.jauch@ipa.fraunhofer.de\"><span class=\"has-text-color stk-button__inner-text\">christian.jauch@ipa.fraunhofer.de<\/span><\/a><\/div>\n<\/div><\/div>\n<\/div>\n<\/div><\/div><\/div>\n<\/div><\/div>\n<\/div><\/div><\/div>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-stackable-spacer stk-block-spacer stk--no-padding stk-block stk-56a43b6\" data-block-id=\"56a43b6\"><\/div>\n\n\n\n<div class=\"wp-block-stackable-columns stk-block-columns stk-block stk-fc04401\" data-block-id=\"fc04401\"><style>.stk-fc04401 {padding-right:24px !important;padding-left:24px !important;}<\/style><div class=\"stk-row stk-inner-blocks stk-block-content stk-content-align stk-fc04401-column\">\n<div class=\"wp-block-stackable-column stk-block-column stk-column stk-block stk-a194320\" data-v=\"4\" data-block-id=\"a194320\"><div class=\"stk-column-wrapper stk-block-column__content stk-container stk-a194320-container stk--no-background stk--no-padding\"><div class=\"stk-block-content stk-inner-blocks stk-a194320-inner-blocks\"><div data-block=\"hook:1248\" class=\"alignfull\"><article id=\"post-1248\" class=\"post-1248\"><div class=\"entry-content is-layout-constrained\">\n<div class=\"wp-block-stackable-button-group stk-block-button-group stk-block stk-fcd1a8a\" data-block-id=\"fcd1a8a\"><style>.stk-fcd1a8a {margin-bottom:24px !important;}<\/style><div class=\"stk-row stk-inner-blocks stk-block-content stk-button-group\">\n<div class=\"wp-block-stackable-icon-button stk-block-icon-button stk-block stk-82470ba is-style-ghost\" data-block-id=\"82470ba\"><style>.stk-82470ba .stk-button{background:transparent !important;}.stk-82470ba .stk-button:hover{background:transparent !important;opacity:1 !important;}:where(.stk-hover-parent:hover,  .stk-hover-parent.stk--is-hovered) .stk-82470ba .stk-button:after{background:transparent !important;opacity:1 !important;}.stk-82470ba .stk-button:before{border-style:solid !important;border-color:var(--theme-palette-color-9, #264e5d) !important;}.stk-82470ba .stk-button .stk--inner-svg svg:last-child, .stk-82470ba .stk-button .stk--inner-svg svg:last-child :is(g, path, rect, polygon, ellipse){fill:var(--theme-palette-color-11, #006e92) !important;}<\/style><a class=\"stk-link stk-button stk--hover-effect-darken\" href=\"javascript:window.history.back();\" title=\"Back\"><span class=\"stk--svg-wrapper\"><div class=\"stk--inner-svg\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 512 512\" aria-hidden=\"true\" width=\"32\" height=\"32\"><path d=\"M9.4 233.4c-12.5 12.5-12.5 32.8 0 45.3l128 128c12.5 12.5 32.8 12.5 45.3 0s12.5-32.8 0-45.3L109.3 288 480 288c17.7 0 32-14.3 32-32s-14.3-32-32-32l-370.7 0 73.4-73.4c12.5-12.5 12.5-32.8 0-45.3s-32.8-12.5-45.3 0l-128 128z\"><\/path><\/svg><\/div><\/span><\/a><\/div>\n<\/div><\/div>\n<\/div><\/article><\/div>\n\n\n\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block-heading--v2 stk-block stk-5cbd537\" id=\"quick-check\" data-block-id=\"5cbd537\"><style>.stk-5cbd537 {margin-bottom:0px !important;}<\/style><h1 class=\"stk-block-heading__text\">Collaboration between man and machine 2.0<\/h1><\/div>\n\n\n\n<div class=\"wp-block-stackable-icon-label stk-block-icon-label stk-block stk-9c593c0\" id=\"quick-check\" data-block-id=\"9c593c0\"><style>.stk-9c593c0 .stk-inner-blocks{gap:8px !important;}<\/style><div class=\"stk-row stk-inner-blocks stk-block-content\">\n<div class=\"wp-block-stackable-icon stk-block-icon has-text-align-left stk-block stk-624347f\" data-block-id=\"624347f\"><style>.stk-624347f .stk--svg-wrapper .stk--inner-svg svg:last-child{height:16px !important;width:16px !important;}.stk-624347f .stk--svg-wrapper .stk--inner-svg svg:last-child, .stk-624347f .stk--svg-wrapper .stk--inner-svg svg:last-child :is(g, path, rect, polygon, ellipse){fill:var(--theme-palette-color-10, #25bae2) !important;}<\/style><span class=\"stk--svg-wrapper\"><div class=\"stk--inner-svg\"><svg style=\"height:0;width:0\"><defs><lineargradient id=\"linear-gradient-624347f\" x1=\"0\" x2=\"100%\" y1=\"0\" y2=\"0\"><stop offset=\"0%\" style=\"stop-opacity:1;stop-color:var(--linear-gradient-624347-f-color-1)\"><\/stop><stop offset=\"100%\" style=\"stop-opacity:1;stop-color:var(--linear-gradient-624347-f-color-2)\"><\/stop><\/lineargradient><\/defs><\/svg><svg data-prefix=\"fa\" data-icon=\"star\" class=\"svg-inline--fa fa-star fa-w-18\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 576 512\" aria-hidden=\"true\" width=\"32\" height=\"32\"><path fill=\"currentColor\" d=\"M259.3 17.8L194 150.2 47.9 171.5c-26.2 3.8-36.7 36.1-17.7 54.6l105.7 103-25 145.5c-4.5 26.3 23.2 46 46.4 33.7L288 439.6l130.7 68.7c23.2 12.2 50.9-7.4 46.4-33.7l-25-145.5 105.7-103c19-18.5 8.5-50.8-17.7-54.6L382 150.2 316.7 17.8c-11.7-23.6-45.6-23.9-57.4 0z\"><\/path><\/svg><\/div><\/span><\/div>\n\n\n\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block-heading--v2 stk-block stk-cdc2d3f\" id=\"span-data-stk-dynamic-current-page-post-taxonomy-term-projektformat-contenteditable-false-class-stk-dynamic-content-quick-check-span\" data-block-id=\"cdc2d3f\"><p class=\"stk-block-heading__text\">Quick Check<\/p><\/div>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block-heading--v2 stk-block stk-c21bed1\" id=\"ausgangssituation\" data-block-id=\"c21bed1\"><h2 class=\"stk-block-heading__text\">Initial situation<\/h2><\/div>\n\n\n\n<div class=\"wp-block-stackable-text stk-block-text stk-block stk-65e3563\" data-block-id=\"65e3563\"><style>.stk-65e3563 {column-count:1 !important;}<\/style><p class=\"stk-block-text__text\">TEKON Pr\u00fcftechnik GmbH manufactures specialized test fixtures that are sold worldwide. The test fixtures are manufactured in series as well as in individual pieces for highly specialized applications. In series production, an assistance system is already firmly integrated, which supports the employees in meeting the high quality standards and helps to maintain standards. Individual production, on the other hand, only produces one-off items and the assembly experts work on an extremely individual basis. This individuality is also reflected in the work processes. The focus is on optimizing these processes, quality assurance and error prevention in both one-off and series production. In particular, the support of error prevention through AI-supported methods is intended to reduce the workload for employees and simplify processes. For example, the final acceptance and documentation of the finished test adapter in individual production is to be supported with the help of AI.<\/p><\/div>\n\n\n\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block-heading--v2 stk-block stk-8c26049\" id=\"losungsidee\" data-block-id=\"8c26049\"><h2 class=\"stk-block-heading__text\">Solution idea<\/h2><\/div>\n\n\n\n<div class=\"wp-block-stackable-text stk-block-text stk-block stk-ab6a506\" data-block-id=\"ab6a506\"><style>.stk-ab6a506 {column-count:1 !important;}<\/style><p class=\"stk-block-text__text\">A data-driven User Needs Assessment (UNA) puts employees at the center of the solution approach. In order to determine which AI solution has the greatest positive impact, test subjects are observed at the workplace using cameras and eye-tracking glasses and interviews are conducted with them. In make-to-order production, the comprehensive method can be used to examine the actual state of final acceptance. Observing the work beforehand helps to identify and record errors at the point of origin. This human-centered method reveals where automation is most urgently needed and what employees' needs are.<\/p><\/div>\n\n\n\n<div class=\"wp-block-stackable-image stk-block-image has-text-align-left stk-block stk-2fa484b\" data-block-id=\"2fa484b\"><style>.stk-2fa484b .stk-img-figcaption{font-size:12px !important;}.stk-2fa484b .stk-img-wrapper{width:825px !important;height:551px !important;}@media screen and (max-width:999px){.stk-2fa484b .stk-img-figcaption{font-size:12px !important;}}<\/style><figure><span class=\"stk-img-wrapper stk-image--shape-stretch stk--has-lightbox\"><img loading=\"lazy\" decoding=\"async\" class=\"stk-img wp-image-2855\" src=\"https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/05\/KI-Fortschrittszentrum_321_AIX_Kollaboration-Mensch-und-Maschine_Abb1-scaled.jpg\" width=\"2560\" height=\"1708\" alt=\"Figure 1: Mounting a test adapter \u00a9TEKON Pr\u00fcftechnik GmbH\" srcset=\"https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/05\/KI-Fortschrittszentrum_321_AIX_Kollaboration-Mensch-und-Maschine_Abb1-scaled.jpg 2560w, https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/05\/KI-Fortschrittszentrum_321_AIX_Kollaboration-Mensch-und-Maschine_Abb1-400x267.jpg 400w, https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/05\/KI-Fortschrittszentrum_321_AIX_Kollaboration-Mensch-und-Maschine_Abb1-698x466.jpg 698w, https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/05\/KI-Fortschrittszentrum_321_AIX_Kollaboration-Mensch-und-Maschine_Abb1-768x512.jpg 768w, https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/05\/KI-Fortschrittszentrum_321_AIX_Kollaboration-Mensch-und-Maschine_Abb1-1536x1025.jpg 1536w, https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/05\/KI-Fortschrittszentrum_321_AIX_Kollaboration-Mensch-und-Maschine_Abb1-2048x1366.jpg 2048w, https:\/\/www.ki-fortschrittszentrum.de\/wp-content\/uploads\/2025\/05\/KI-Fortschrittszentrum_321_AIX_Kollaboration-Mensch-und-Maschine_Abb1-18x12.jpg 18w\" sizes=\"auto, (max-width: 2560px) 100vw, 2560px\" \/><\/span><figcaption class=\"stk-img-figcaption\">Figure 1: Mounting a test adapter \u00a9TEKON Pr\u00fcftechnik GmbH<\/figcaption><\/figure><\/div>\n\n\n\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block-heading--v2 stk-block stk-76475ee\" id=\"nutzen\" data-block-id=\"76475ee\"><h2 class=\"stk-block-heading__text\">Benefit<\/h2><\/div>\n\n\n\n<div class=\"wp-block-stackable-text stk-block-text stk-block stk-3e86ca0\" data-block-id=\"3e86ca0\"><p class=\"stk-block-text__text\">The acceptance of new methods increases when the workforce is involved. To this end, a small sample of employees is selected in order to analyze their needs in a representative manner. The UNA method makes it possible to focus on the AI solutions that offer employees the most benefits. In particular, the data-driven UNA makes it possible to use eye-tracking glasses to subconsciously recognize the areas that consume mental resources. For example, the analysis of attention is an important part of the method and it clearly crystallizes which work steps require the attention of experts to a particularly high degree. When attention is high, mental resources are used that might be more important in other work steps. This allows the process steps that are of high interest to be supported by an AI solution to be identified.<\/p><\/div>\n\n\n\n<div class=\"wp-block-stackable-heading stk-block-heading stk-block-heading--v2 stk-block stk-1e747a7\" id=\"umsetzung-der-ki-applikation\" data-block-id=\"1e747a7\"><h2 class=\"stk-block-heading__text\">Implementation of the AI application<\/h2><\/div>\n\n\n\n<div class=\"wp-block-stackable-text stk-block-text stk-block stk-d745445\" data-block-id=\"d745445\"><p class=\"stk-block-text__text\">Data-driven UNAs were carried out in both series and individual production with a total of five participants. The workstations were subjected to both an attention analysis using eye-tracking glasses and a time analysis for manual assembly. The results provide information about which information was of particular interest to the employees and which process steps took unexpectedly long. Based on these results, it was possible to identify and suggest sensible uses for AI applications at various points in the work process.<\/p><\/div>\n<\/div><\/div><\/div>\n<\/div><\/div>\n\n\n\n<p><\/p>","protected":false},"excerpt":{"rendered":"<p>The final acceptance requirements for employees were reviewed with the help of UNAs. AI potentials were identified and suggested.<\/p>","protected":false},"author":4,"featured_media":2856,"template":"","format":"standard","meta":{"_acf_changed":true,"_gspb_post_css":".gspb_container-id-gsbp-1fa6a74,.gspb_container-id-gsbp-933ef16,.gspb_container-id-gsbp-eafe0ac{flex-direction:column;box-sizing:border-box}#gspb_container-id-gsbp-1fa6a74.gspb_container>p:last-of-type,#gspb_container-id-gsbp-933ef16.gspb_container>p:last-of-type,#gspb_container-id-gsbp-eafe0ac.gspb_container>p:last-of-type{margin-bottom:0}#gspb_container-id-gsbp-933ef16.gspb_container{position:relative;padding:24px}#gspb_container-id-gsbp-eafe0ac.gspb_container{position:relative;display:block;margin-left:auto}#gspb_container-id-gsbp-1fa6a74.gspb_container{position:relative;display:block;margin:0;padding:24px;background-color:var(--wp--preset--color--palette-color-11, var(--theme-palette-color-11, #006e92))}"},"bereich":[24],"institut":[],"projektformat":[14],"class_list":["post-570","projekt","type-projekt","status-publish","format-standard","has-post-thumbnail","hentry","bereich-produktion-qualitaetsmanagement","projektformat-quick-check"],"blocksy_meta":[],"acf":[],"_links":{"self":[{"href":"https:\/\/www.ki-fortschrittszentrum.de\/en\/wp-json\/wp\/v2\/projekt\/570","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.ki-fortschrittszentrum.de\/en\/wp-json\/wp\/v2\/projekt"}],"about":[{"href":"https:\/\/www.ki-fortschrittszentrum.de\/en\/wp-json\/wp\/v2\/types\/projekt"}],"author":[{"embeddable":true,"href":"https:\/\/www.ki-fortschrittszentrum.de\/en\/wp-json\/wp\/v2\/users\/4"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.ki-fortschrittszentrum.de\/en\/wp-json\/wp\/v2\/media\/2856"}],"wp:attachment":[{"href":"https:\/\/www.ki-fortschrittszentrum.de\/en\/wp-json\/wp\/v2\/media?parent=570"}],"wp:term":[{"taxonomy":"bereich","embeddable":true,"href":"https:\/\/www.ki-fortschrittszentrum.de\/en\/wp-json\/wp\/v2\/bereich?post=570"},{"taxonomy":"institut","embeddable":true,"href":"https:\/\/www.ki-fortschrittszentrum.de\/en\/wp-json\/wp\/v2\/institut?post=570"},{"taxonomy":"projektformat","embeddable":true,"href":"https:\/\/www.ki-fortschrittszentrum.de\/en\/wp-json\/wp\/v2\/projektformat?post=570"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}