{"id":94383,"date":"2021-10-15T12:00:00","date_gmt":"2021-10-15T10:00:00","guid":{"rendered":"https:\/\/industry-science.com\/?post_type=article&#038;p=94383"},"modified":"2024-03-26T17:25:10","modified_gmt":"2024-03-26T16:25:10","slug":"potentials-of-multimodal-user-interfaces-a-comparison-of-approaches-of-human-machine-interaction-for-the-digitalized-production-environment","status":"publish","type":"article","link":"https:\/\/industry-science.com\/en\/articles\/potentials-of-multimodal-user-interfaces-a-comparison-of-approaches-of-human-machine-interaction-for-the-digitalized-production-environment\/","title":{"rendered":"Potentials of Multimodal User Interfaces"},"content":{"rendered":"<hr>\n<div class=\"gito-pub-content-bibliography\">\n<h2>Bibliography <\/h2>\n[1] \u00a0Handbuch Usability: ISO 9241. URL: www.handbuch-usability.de\/iso-9241.html, Abrufdatum 15.06.2020.<br \/>\n[2] \u00a0Vogel-Heuser, B.; Bauernhansl, T.; Ten Hompel, M. (Hrsg): Handbuch Industrie 4.0. Bd. 4: Allgemeine Grundlagen, 2. Auflage. Berlin 2017.<br \/>\n[3] \u00a0Dumas, B.; Lalanne, D.; Oviatt, S.: Multimodal Interfaces: A Survey of Principles, Models and Frameworks. In: Lecture Notes in Computer Science (2009), S. 3-26.<br \/>\n[4] \u00a0Deutsche Akademie der Technikwissenschaften (Hrsg): Innovationspotenziale der Mensch-Maschine-Interaktion. Mu\u0308nchen 2016.<br \/>\n[5] \u00a0Reply: Zukunftskonzepte fu\u0308r Human Machine Interfaces &#8211; So kommen Menschen den Maschinen na\u0308her. URL: www.reply.com\/de\/topics\/ artificial-intelligence-and-machine-learning\/human-machine-interfaces-trend-report, Abrufdatum 15.06.2020.<br \/>\n[6] \u00a0He\u0301der, M.: From NASA to EU: the evolution of the TRL scale in Public Sector Innovation. In: The Innovation Journal 22 (2017) 1.<br \/>\n[7] \u00a0Goertz, W.; Gartner: Hype Cycle for Human-Machine Interface. 2018. URL: www.gartner. com\/doc\/3882879\/hype-cycle-humanmachine-interface-, Abrufdatum 15.06.2020.<br \/>\n[8] \u00a0Liu, H.; Wang, L.: Gesture recognition for human-robot collaboration: A review. In: International Journal of Industrial Ergonomics 68 (2018), S. 355-367.<br \/>\n[9] \u00a0Vukelic, M.; Pollmann, K.; Peissner, M.; Spath, D.: Mensch-Technik-Interaktion mit Emotionen: Eine neurowissenschaftliche Untersuchung zu hirnphysiologischen Prozessen emotional-affektiver Nutzerreaktionen die fu\u0308r technische Assistenz relevant sind. In: Freitag, M. (Hrsg): Mensch-Technik-Interaktion in der digitalisierten Arbeitswelt (2020), S. 39-58.<br \/>\n[10] Mittelstand 4.0 &#8211; Kompetenzzentrum Saarbru\u0308cken: Brain- Computer-Interfaces: Einsatz von Brain-Computer-Interfaces als Mittel der Mensch-Technik-Interaktion. URL: kompetenzzentrum-saarbruecken.digital\/technologieradar-brain-computer-interfaces, Abrufdatum 15.06.2020.<br \/>\n[11] Hochberg, L. R. u. a.: Reach and grasp by people with tetraplegia using a neurally controlled robotic arm. In: Nature 485 (2012) 7398, S. 372-375.<br \/>\n[12] Myers, C.; Furqan, A.; Nebolsky, J.; Caro, K.; Zhu, J.: Patterns for How Users Overcome Obstacles in Voice User Interfaces. In: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems &#8211; CHI \u201918 (2018), S. 1-7.<br \/>\n[13] Gorecky, D.; Schmitt, M.; Loskyll, M.; Zu\u0308hlke D.: Human-machine-interaction in the industry 4.0 era. In: 12th IEEE International Conference on Industrial Informatics (IN-DIN) (2014), S. 289-294.<br \/>\n[14] Oviatt, S.: Advances in robust multimodal interface design. In: IEEE Computer Graphics and Applications 23 (2003) 5, S. 62-68.[15] Bundesministerium fu\u0308r Bildung und Forschung: Logistik 4.0, mit dem Exoskelett SensHand gegen Gesundheitsscha\u0308den in der Lagerhaltung. URL: www.wissenschaftsjahr. de\/2018\/neues-aus-den-arbeitswelten\/alle-aktuellen-meldungen\/april-2018\/ exoskelett-senshand-bietet-sich-als-hebehilfe-in-der-lagerhaltung-an, Abrufdatum 15.06.2020.<br \/>\n[16] Bo\u0308de, E.; Hartmann, E. A.; Lu\u0308dtke, A.; Oppenheimer, F.; Ro\u0308tting, M.; Wegerich, A.: Mensch-Technik-Interaktion. In: Bundesministerium fu\u0308r Wirtschaft und Technologie (BMWi) O\u0308ffentlichkeitsarbeit: Autonomik &#8211; Autonome und simulationsbasierte Systeme fu\u0308r den Mittelstand 3. Berlin 2018.<br \/>\n[17] Teichmann, M.; Ullrich, A.; Wenz, J.; Gronau, N.: Herausforderungen und Handlungsempfehlungen betrieblicher Weiterbildungspraxis in Zeiten der Digitalisierung. HMD Praxis der Wirtschaftsinformatik. Faktor Mensch \u2013 Erwachsenenbildung. 2020. DOI: 10.1365\/s40702-020-00614-x.<\/div>\n<div id=\"download-section\" class=\"gito-pub-download-section\" style=\"text-align:center;margin:20px;\">\n<h2>Your downloads<\/h2>\n<p><button style=\"font-size:14px;margin-right:15px;\" class=\"button gito-pub-cpt-download-button\" data-postid=\"94383\" data-userid =\"0\" data-filename=\"fox-Potenziale-multimodaler-Benutzungsschnittstellen_IM-2021-5.pdf\"><span style=\"margin-top:5px !important;\" class=\"dashicons dashicons-download\"><\/span>&nbsp;&nbsp;PDF<\/button><\/div>\n<div class=\"gito-pub-tags-social-share\" style=\"display:flex;justify-content:space-between;\"><div>Tags: <span class=\"gito-pub-tag-element\"><a href=\"\/tag\/industrie-4-0-en\/\">Industrie 4.0<\/a><\/span> <\/div><div><div class=\"social-icons share-icons share-row relative\" ><a href=\"whatsapp:\/\/send?text=Potentials%20of%20Multimodal%20User%20Interfaces - https:\/\/industry-science.com\/en\/articles\/potentials-of-multimodal-user-interfaces-a-comparison-of-approaches-of-human-machine-interaction-for-the-digitalized-production-environment\/\" data-action=\"share\/whatsapp\/share\" class=\"icon button circle is-outline tooltip whatsapp show-for-medium\" title=\"Share on WhatsApp\" aria-label=\"Share on WhatsApp\"><i class=\"icon-whatsapp\" aria-hidden=\"true\"><\/i><\/a><a href=\"https:\/\/www.facebook.com\/sharer.php?u=https:\/\/industry-science.com\/en\/articles\/potentials-of-multimodal-user-interfaces-a-comparison-of-approaches-of-human-machine-interaction-for-the-digitalized-production-environment\/\" data-label=\"Facebook\" onclick=\"window.open(this.href,this.title,'width=500,height=500,top=300px,left=300px'); 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return false;\" target=\"_blank\" class=\"icon button circle is-outline tooltip linkedin\" title=\"Share on LinkedIn\" aria-label=\"Share on LinkedIn\" rel=\"noopener nofollow\"><i class=\"icon-linkedin\" aria-hidden=\"true\"><\/i><\/a><\/div><\/div><\/div><hr style=\"margin-top:0px;\">\n<h2 class=\"gito-pub-frontend-post-headline\">You might also be interested in<\/h2>\n<!-- GITO_PUB_POST start flex-container -->\n<div class=\"gito-pub-flex-container\">\n   <div class=\"gito-pub-frontend-post-card gito-pub-flex-item gito-pub-flex-item-1\">\n      <a href=\"https:\/\/industry-science.com\/en\/articles\/ai-knowledge-management\/\">\n         <div class=\"gito-pub-frontend-post-card-row\">         <div class=\"gito-pub-frontend-post-card-column gito-pub-frontend-post-card-column-image\">\n            <picture>\n               <source media=\"(max-width:640px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/Beitragsbild-1-640x325.webp\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/Beitragsbild-1-196x180.webp\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/Beitragsbild-1-196x180.webp\" alt=\"Generative AI in Organizational Knowledge Management\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"Generative AI in Organizational Knowledge Management\">                  <table class=\"gito-pub-frontend-post-card-header\">\n            \t     <tr>\n                        <td>                  \t\t   <h4 class=\"gito-pub-frontend-post-card-title\" style=\"line-height:1.2em;\">Generative AI in Organizational Knowledge Management<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">AI literacy as a prerequisite for augmentation<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"https:\/\/industry-science.com\/en\/authors\/uta-wilkens-en\/\">Uta Wilkens<\/a> <a href=\"https:\/\/orcid.org\/0000-0002-7485-4186\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/valentin-langholf-en\/\">Valentin Langholf<\/a> <a href=\"https:\/\/orcid.org\/0000-0002-0440-4665\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/niklas-obermann-en\/\">Niklas Obermann<\/a> <a href=\"https:\/\/orcid.org\/0009-0004-3817-3203\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a><\/div>\n                        <\/td>\n                     <\/tr>\n                  <\/table>\n                  <div class=\"gito-pub-frontend-post-card-text\">\n                     Generative Artificial Intelligence (GenAI) offers new opportunities for organizational knowledge management, particularly when it comes to learning processes at the interface between explicit, firm-specific, and tacit knowledge. Its use is therefore of particular interest for application areas such as industrial maintenance. Based on a mechanical engineering case study, this article demonstrates that augmenting both processes and employees with GenAI requires AI literacy combined with professional skills.                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 5 | Pages 118-126 | DOI <a style=\"font-weight:bold !important;\" href=\"https:\/\/doi.org\/10.30844\/I4SE.26.5.14\" target=\"_blank\" rel=\"noopener\">10.30844\/I4SE.26.5.14<\/a><\/div>            <\/div>\n         <\/div>\n      <\/a>\n   <\/div>\n   <div class=\"gito-pub-frontend-post-card gito-pub-flex-item gito-pub-flex-item-1\">\n      <a href=\"https:\/\/industry-science.com\/en\/articles\/foundation-models-in-industrial-robotics\/\">\n         <div class=\"gito-pub-frontend-post-card-row\">         <div class=\"gito-pub-frontend-post-card-column gito-pub-frontend-post-card-column-image\">\n            <picture>\n               <source media=\"(max-width:640px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/kuhlenkoetter_AdobeStock_2050908266_phonlamaiphoto-640x325.webp\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/kuhlenkoetter_AdobeStock_2050908266_phonlamaiphoto-196x180.webp\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/kuhlenkoetter_AdobeStock_2050908266_phonlamaiphoto-196x180.webp\" alt=\"Foundation Models in Industrial Robotics\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"Foundation Models in Industrial Robotics\">                  <table class=\"gito-pub-frontend-post-card-header\">\n            \t     <tr>\n                        <td>                  \t\t   <h4 class=\"gito-pub-frontend-post-card-title\" style=\"line-height:1.2em;\">Foundation Models in Industrial Robotics<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">Requirements for AI-supported assistance in production and logistics<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"https:\/\/industry-science.com\/en\/authors\/bernd-kuhlenkoetter-en\/\">Bernd Kuhlenk\u00f6tter<\/a> <a href=\"https:\/\/orcid.org\/0000-0002-5015-7490\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/daniel-syniawa-en\/\">Daniel Syniawa<\/a> <a href=\"https:\/\/orcid.org\/0000-0001-9061-5663\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a><\/div>\n                        <\/td>\n                     <\/tr>\n                  <\/table>\n                  <div class=\"gito-pub-frontend-post-card-text\">\n                     Foundation models are increasingly changing the way robots are used in industry. Instead of writing complex programs line by line, programmers will soon be able to collaborate more closely with AI systems, describe tasks, and review generated solutions. This shifts their role from purely generating code to conceptual, supervisory, and validation activities. This article highlights the new possibilities that large AI models create for robot programming and the changes they entail for work and required skills in industrial practice.                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 5 | Pages 16-23 | DOI <a style=\"font-weight:bold !important;\" href=\"10.30844\/I4SE.26.5.2\" target=\"_blank\">10.30844\/I4SE.26.5.2<\/a><\/div>            <\/div>\n         <\/div>\n      <\/a>\n   <\/div>\n   <div class=\"gito-pub-frontend-post-card gito-pub-flex-item gito-pub-flex-item-1\">\n      <a href=\"https:\/\/industry-science.com\/en\/articles\/ai-driven-organization-as-a-new-work-paradigm\/\">\n         <div class=\"gito-pub-frontend-post-card-row\">         <div class=\"gito-pub-frontend-post-card-column gito-pub-frontend-post-card-column-image\">\n            <picture>\n               <source media=\"(max-width:640px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/hoelzle_AdobeStock_1913936617_Chaosamran_Studio-640x325.png\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/hoelzle_AdobeStock_1913936617_Chaosamran_Studio-196x180.png\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/hoelzle_AdobeStock_1913936617_Chaosamran_Studio-196x180.png\" alt=\"AI-Driven Organization as a New Work Paradigm\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"AI-Driven Organization as a New Work Paradigm\">                  <table class=\"gito-pub-frontend-post-card-header\">\n            \t     <tr>\n                        <td>                  \t\t   <h4 class=\"gito-pub-frontend-post-card-title\" style=\"line-height:1.2em;\">AI-Driven Organization as a New Work Paradigm<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">Implications for individual and organizational change<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"https:\/\/industry-science.com\/en\/authors\/katharina-hoelzle\/\">Katharina H\u00f6lzle<\/a> <a href=\"https:\/\/orcid.org\/0000-0002-9733-4650\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/leonie-krauch\/\">Leonie Krauch<\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/wolfgang-beinhauer\/\">Wolfgang Beinhauer<\/a> <a href=\"https:\/\/orcid.org\/0009-0001-3812-7715\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/carsten-schmidt\/\">Carsten Schmidt<\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/josephine-hofmann\/\">Josephine Hofmann<\/a> <a href=\"https:\/\/orcid.org\/0000-0003-4453-7339\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a><\/div>\n                        <\/td>\n                     <\/tr>\n                  <\/table>\n                  <div class=\"gito-pub-frontend-post-card-text\">\n                     Is it sufficient to train employees in the use of AI tools, or does the AI organization require an entirely new set of competencies? This paper introduces a digital enablement model comprising three competency dimensions and demonstrates, through an upskilling program implemented at the Fraunhofer Institute for Industrial Engineering IAO, how organizations can sustainably bridge the AI adoption gap.                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 5 | Pages 94-100 | DOI <a style=\"font-weight:bold !important;\" href=\"https:\/\/doi.org\/10.30844\/I4SE.26.5.11\" target=\"_blank\" rel=\"noopener\">10.30844\/I4SE.26.5.11<\/a><\/div>            <\/div>\n         <\/div>\n      <\/a>\n   <\/div>\n   <div class=\"gito-pub-frontend-post-card gito-pub-flex-item gito-pub-flex-item-1\">\n      <a href=\"https:\/\/industry-science.com\/en\/articles\/designing-effective-ai-certification\/\">\n         <div class=\"gito-pub-frontend-post-card-row\">         <div class=\"gito-pub-frontend-post-card-column gito-pub-frontend-post-card-column-image\">\n            <picture>\n               <source media=\"(max-width:640px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/morsch_AdobeStock_1860648731_InfiniteFlow-640x325.png\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/morsch_AdobeStock_1860648731_InfiniteFlow-196x180.png\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/morsch_AdobeStock_1860648731_InfiniteFlow-196x180.png\" alt=\"Designing Effective AI Certification\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"Designing Effective AI Certification\">                  <table class=\"gito-pub-frontend-post-card-header\">\n            \t     <tr>\n                        <td>                  \t\t   <h4 class=\"gito-pub-frontend-post-card-title\" style=\"line-height:1.2em;\">Designing Effective AI Certification<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">Insights from established certification domains for the standardization of human-centered AI<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"https:\/\/industry-science.com\/en\/authors\/katharina-morsch\/\">Katharina Morsch<\/a> <a href=\"https:\/\/orcid.org\/0009-0002-9511-6569\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a><\/div>\n                        <\/td>\n                     <\/tr>\n                  <\/table>\n                  <div class=\"gito-pub-frontend-post-card-text\">\n                     Certification for human-centered AI is becoming increasingly important\u2014as a source of competitive differentiation, a response to regulatory expectations, and a mechanism for fostering human-centered work environments. But how can organizations determine whether the underlying requirements are truly embedded in practice? Drawing on expert interviews from established certification domains, this paper shows that the decisive question is answered not during the audit itself, but in the period between audit cycles. Ultimately, it is not the certificate that matters, but the commitment of organizational leadership and the organization as a whole to engage seriously in the certification process and its continuous implementation.                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 5 | Pages 86-92 | DOI <a style=\"font-weight:bold !important;\" href=\"10.30844\/I4SE.26.4.10\" target=\"_blank\">10.30844\/I4SE.26.4.10<\/a><\/div>            <\/div>\n         <\/div>\n      <\/a>\n   <\/div>\n   <div class=\"gito-pub-frontend-post-card gito-pub-flex-item gito-pub-flex-item-1\">\n      <a href=\"https:\/\/industry-science.com\/en\/articles\/supplier-selection-industry-4-0\/\">\n         <div class=\"gito-pub-frontend-post-card-row\">         <div class=\"gito-pub-frontend-post-card-column gito-pub-frontend-post-card-column-image\">\n            <picture>\n               <source media=\"(max-width:640px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/Ganesh_AdobeStock_1953691998_Vlad-Rakin-640x325.webp\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/Ganesh_AdobeStock_1953691998_Vlad-Rakin-196x180.webp\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/Ganesh_AdobeStock_1953691998_Vlad-Rakin-196x180.webp\" alt=\"Data-Driven Supplier Selection in Industry 4.0\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"Data-Driven Supplier Selection in Industry 4.0\">                  <table class=\"gito-pub-frontend-post-card-header\">\n            \t     <tr>\n                        <td>                  \t\t   <h4 class=\"gito-pub-frontend-post-card-title\" style=\"line-height:1.2em;\">Data-Driven Supplier Selection in Industry 4.0<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">Towards an industrial platform for selection and configuration<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"https:\/\/industry-science.com\/en\/authors\/purushothaman-ganesh\/\">Purushothaman Ganesh<\/a> <a href=\"https:\/\/orcid.org\/0009-0009-4245-467X\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/baris-e-albayrak\/\">Baris E. Albayrak<\/a> <a href=\"https:\/\/orcid.org\/0009-0001-1193-1279\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/joerg-franke-en\/\">J\u00f6rg Franke<\/a> <a href=\"https:\/\/orcid.org\/0000-0003-0700-2028\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/till-sindel\/\">Till Sindel<\/a> <a href=\"https:\/\/orcid.org\/0009-0004-3507-631X\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/jens-fuerst\/\">Jens F\u00fcrst<\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/sebastian-lang\/\">Sebastian Lang<\/a> <a href=\"https:\/\/orcid.org\/0000-0003-3397-1551\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a><\/div>\n                        <\/td>\n                     <\/tr>\n                  <\/table>\n                  <div class=\"gito-pub-frontend-post-card-text\">\n                     Industrial supply chains must repeatedly reconfigure sourcing strategies in response to disruptions, yet supplier capability information remains heterogeneous and difficult to operationalize. Existing research addresses supplier selection, simulation, and interoperability standards separately, treating discovery, evaluation, and optimization as disconnected steps requiring manual data transformation. This paper presents a framework for a data-driven industrial platform integrating three components: Asset Administration Shell-based supplier profiles structured by an Actor-Service ontology for semantic discovery, automatic discrete-event simulation model generation from layout data for performance evaluation, and KPI-driven configuration using optimization algorithms. The main contributions are an end-to-end interoperable workflow, a two-tier supplier profile concept separating semantic descriptions from simulation parameters, and a standardized KPI interface maintaining consistency ...                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 4 | Pages 50-61 | DOI <a style=\"font-weight:bold !important;\" href=\"https:\/\/doi.org\/10.30844\/I4SE.26.4.6\" target=\"_blank\" rel=\"noopener\">10.30844\/I4SE.26.4.6<\/a><\/div>            <\/div>\n         <\/div>\n      <\/a>\n   <\/div>\n   <div class=\"gito-pub-frontend-post-card gito-pub-flex-item gito-pub-flex-item-1\">\n      <a href=\"https:\/\/industry-science.com\/en\/articles\/smart-data-ecosystems\/\">\n         <div class=\"gito-pub-frontend-post-card-row\">         <div class=\"gito-pub-frontend-post-card-column gito-pub-frontend-post-card-column-image\">\n            <picture>\n               <source media=\"(max-width:640px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/Schleimer_AdobeStock_520430566_Melisa-640x325.jpg\">\n               <source media=\"(min-width:641px)\" srcset=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/Schleimer_AdobeStock_520430566_Melisa-196x180.jpg\">\n               <img decoding=\"async\" class=\"gito-pub-frontend-post-card-image\" src=\"https:\/\/industry-science.com\/wp-content\/uploads\/2026\/08\/Schleimer_AdobeStock_520430566_Melisa-196x180.jpg\" alt=\"Open Source as Enabler for Smart Data Ecosystems\">\n            <\/picture>\n         <\/div>\n            <div class=\"gito-pub-frontend-post-card-column\">               <div class=\"ellipsis\" style=\"height:166px !important;overflow:hidden;\" title=\"Open Source as Enabler for Smart Data Ecosystems\">                  <table class=\"gito-pub-frontend-post-card-header\">\n            \t     <tr>\n                        <td>                  \t\t   <h4 class=\"gito-pub-frontend-post-card-title\" style=\"line-height:1.2em;\">Open Source as Enabler for Smart Data Ecosystems<\/h4>\n                        <div class=\"gito-pub-frontend-post-card-subtitle\">How collaboration shapes sovereignty and interoperability across industrial applications<\/div>                        <div class=\"gito-pub-frontend-post-card-author\"><a href=\"https:\/\/industry-science.com\/en\/authors\/anna-maria-schleimer\/\">Anna Maria Schleimer<\/a> <a href=\"https:\/\/orcid.org\/0000-0002-3264-8034\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a>, <a href=\"https:\/\/industry-science.com\/en\/authors\/julia-pampus\/\">Julia Pampus<\/a> <a href=\"https:\/\/orcid.org\/0000-0003-2309-6183\" target=\"_blank\" title=\"ORCID eintrag \u00f6ffnen.\" rel=\"noopener\">\n        <img decoding=\"async\" src=\"https:\/\/orcid.org\/assets\/vectors\/orcid.logo.icon.svg\" alt=\"ORCID Icon\" style=\"width:16px;height:16px;vertical-align:middle;\"><\/a><\/div>\n                        <\/td>\n                     <\/tr>\n                  <\/table>\n                  <div class=\"gito-pub-frontend-post-card-text\">\n                     From automotive supply chains to smart factories, data ecosystems promise seamless collaboration across company boundaries. But how can industries build the necessary infrastructure without creating new dependencies? This article explores how open-source software can serve as a foundation and impactful tool for sovereign, interoperable technologies and standards. Yet, open-source software is not a silver bullet; rather, it poses challenges for digital sovereignty in burgeoning data ecosystems.                  <\/div>\n               <\/div>\n               <div class=\"gito-pub-frontend-post-card-scientific\"><strong>Industry 4.0 Science<\/strong> | Volume 42 | 2026 | Edition 4 | Pages 6-13 | DOI <a style=\"font-weight:bold !important;\" href=\"https:\/\/doi.org\/10.30844\/I4SE.26.4.1\" target=\"_blank\" rel=\"noopener\">10.30844\/I4SE.26.4.1<\/a><\/div>            <\/div>\n         <\/div>\n      <\/a>\n   <\/div>\n<\/div>\n<!-- GITO_PUB_POST end flex-container -->\n","protected":false},"excerpt":{"rendered":"<p>Digitalization is changing manufacturing substantially. The design of user interfaces in the digitalized production environment is of utmost importance. In this article, potential combinations of approaches to human-machine interaction are shown and examples of applications are presented. Multimodal user interfaces offer a high degree of immersion. As a result, approaches of (among others) VR-, gesture- and speech-based types of interaction are compared with the dialogue principles and their suitability in practice as work and learning support for employees is presented.<\/p>\n","protected":false},"featured_media":96117,"menu_order":0,"template":"","categories":[79167,79168,79298],"tags":[79627],"product_cat":[],"topic":[68206],"technology":[],"knowhow":[],"industry":[],"writer":[82360,83416,80397],"content-type":[],"potential":[],"solution":[],"glossary":[],"class_list":["post-94383","article","type-article","status-publish","has-post-thumbnail","category-design-en","category-translate-en","category-typeset","tag-industrie-4-0-en","topic-industry-4-0","writer-andre-ullrich-en","writer-daniel-leonhard-fox-en","writer-norbert-gronau-en","product","first","instock","downloadable","virtual","sold-individually","taxable","purchasable","product-type-article"],"uagb_featured_image_src":{"full":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/fox-Potenziale-multimodaler-Benutzungsschnittstellen_IM-2021-5-1400x788.jpg",1400,788,false],"thumbnail":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/fox-Potenziale-multimodaler-Benutzungsschnittstellen_IM-2021-5-1400x788-150x150.jpg",150,150,true],"medium":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/fox-Potenziale-multimodaler-Benutzungsschnittstellen_IM-2021-5-1400x788-666x375.jpg",666,375,true],"medium_large":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/fox-Potenziale-multimodaler-Benutzungsschnittstellen_IM-2021-5-1400x788-768x432.jpg",768,432,true],"large":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/fox-Potenziale-multimodaler-Benutzungsschnittstellen_IM-2021-5-1400x788-1024x576.jpg",1020,574,true],"front-page-entry":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/fox-Potenziale-multimodaler-Benutzungsschnittstellen_IM-2021-5-1400x788-1032x320.jpg",1032,320,true],"post-entry":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/fox-Potenziale-multimodaler-Benutzungsschnittstellen_IM-2021-5-1400x788-764x376.jpg",764,376,true],"post-teaser":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/fox-Potenziale-multimodaler-Benutzungsschnittstellen_IM-2021-5-1400x788-392x320.jpg",392,320,true],"post-teaser-mobile":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/fox-Potenziale-multimodaler-Benutzungsschnittstellen_IM-2021-5-1400x788-608x496.jpg",608,496,true],"post-custom-size":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/fox-Potenziale-multimodaler-Benutzungsschnittstellen_IM-2021-5-1400x788-640x325.jpg",640,325,true],"whitepaper-teaser":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/fox-Potenziale-multimodaler-Benutzungsschnittstellen_IM-2021-5-1400x788-274x376.jpg",274,376,true],"card-big":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/fox-Potenziale-multimodaler-Benutzungsschnittstellen_IM-2021-5-1400x788-514x292.jpg",514,292,true],"card-portrait":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/fox-Potenziale-multimodaler-Benutzungsschnittstellen_IM-2021-5-1400x788-320x440.jpg",320,440,true],"card-big-company":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/fox-Potenziale-multimodaler-Benutzungsschnittstellen_IM-2021-5-1400x788-514x289.jpg",514,289,true],"gp-listing":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/fox-Potenziale-multimodaler-Benutzungsschnittstellen_IM-2021-5-1400x788-196x180.jpg",196,180,true],"1536x1536":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/fox-Potenziale-multimodaler-Benutzungsschnittstellen_IM-2021-5-1400x788.jpg",1400,788,false],"2048x2048":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/fox-Potenziale-multimodaler-Benutzungsschnittstellen_IM-2021-5-1400x788.jpg",1400,788,false],"woocommerce_thumbnail":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/fox-Potenziale-multimodaler-Benutzungsschnittstellen_IM-2021-5-1400x788-510x510.jpg",510,510,true],"woocommerce_single":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/fox-Potenziale-multimodaler-Benutzungsschnittstellen_IM-2021-5-1400x788-510x287.jpg",510,287,true],"woocommerce_gallery_thumbnail":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/fox-Potenziale-multimodaler-Benutzungsschnittstellen_IM-2021-5-1400x788-100x100.jpg",100,100,true],"dgwt-wcas-product-suggestion":["https:\/\/industry-science.com\/wp-content\/uploads\/2024\/03\/fox-Potenziale-multimodaler-Benutzungsschnittstellen_IM-2021-5-1400x788-64x36.jpg",64,36,true]},"uagb_author_info":{"display_name":"Christoph Brocks","author_link":"https:\/\/industry-science.com\/en\/author\/"},"uagb_comment_info":0,"uagb_excerpt":"Digitalization is changing manufacturing substantially. The design of user interfaces in the digitalized production environment is of utmost importance. In this article, potential combinations of approaches to human-machine interaction are shown and examples of applications are presented. Multimodal user interfaces offer a high degree of immersion. As a result, approaches of (among others) VR-, gesture-&hellip;","_links":{"self":[{"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/article\/94383","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/article"}],"about":[{"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/types\/article"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/media\/96117"}],"wp:attachment":[{"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/media?parent=94383"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/categories?post=94383"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/tags?post=94383"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/product_cat?post=94383"},{"taxonomy":"topic","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/topic?post=94383"},{"taxonomy":"technology","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/technology?post=94383"},{"taxonomy":"knowhow","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/knowhow?post=94383"},{"taxonomy":"industry","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/industry?post=94383"},{"taxonomy":"writer","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/writer?post=94383"},{"taxonomy":"content-type","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/content-type?post=94383"},{"taxonomy":"potential","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/potential?post=94383"},{"taxonomy":"solution","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/solution?post=94383"},{"taxonomy":"glossary","embeddable":true,"href":"https:\/\/industry-science.com\/en\/wp-json\/wp\/v2\/glossary?post=94383"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}