[{"keyword":["Retrieval-Augmented Generation","LLM-Based Information System","Conceptual Framework"],"language":[{"iso":"eng"}],"publication":"Intelligent Human Systems Integration (IHSI 2026): Disruptive and Innovative Technologies","publication_identifier":{"issn":["2771-0718"],"isbn":["978-1-964867-76-2"]},"date_created":"2026-01-09T07:27:32Z","date_updated":"2026-01-12T09:36:40Z","corporate_editor":["AHFE Open Access"],"editor":[{"last_name":"Ahram","first_name":"Tareq","full_name":"Ahram, Tareq"},{"full_name":"Karwowski, Waldemar","first_name":"Waldemar","last_name":"Karwowski"},{"full_name":"Giraldi , Laura","last_name":"Giraldi ","first_name":"Laura"},{"first_name":"Elisabetta","last_name":"Benelli ","full_name":"Benelli , Elisabetta"}],"year":"2026","author":[{"first_name":"Dominik","last_name":"Ullrich","full_name":"Ullrich, Dominik","id":"85823"},{"id":"79046","first_name":"Jens","full_name":"Wallys, Jens","last_name":"Wallys"},{"last_name":"Hinrichsen","id":"49010","full_name":"Hinrichsen, Sven","first_name":"Sven"}],"status":"public","page":"63-73","title":"Conceptual Framework for Designing Domain-Specific LLM-Based Information Systems","citation":{"short":"D. Ullrich, J. Wallys, S. Hinrichsen, Conceptual Framework for Designing Domain-Specific LLM-Based Information Systems, AHFE International, USA, 2026.","chicago-de":"Ullrich, Dominik, Jens Wallys und Sven Hinrichsen. 2026. <i>Conceptual Framework for Designing Domain-Specific LLM-Based Information Systems</i>. Hg. von Tareq Ahram, Waldemar Karwowski, Laura Giraldi , Elisabetta Benelli , und AHFE Open Access. <i>Intelligent Human Systems Integration (IHSI 2026): Disruptive and Innovative Technologies</i>. Bd. 200. AHFE International. USA: AHFE International. doi:<a href=\"https://doi.org/10.54941/ahfe1007065\">10.54941/ahfe1007065</a>, .","din1505-2-1":"<span style=\"font-variant:small-caps;\">Ullrich, Dominik</span> ; <span style=\"font-variant:small-caps;\">Wallys, Jens</span> ; <span style=\"font-variant:small-caps;\">Hinrichsen, Sven</span> ; <span style=\"font-variant:small-caps;\">Ahram, T.</span> ; <span style=\"font-variant:small-caps;\">Karwowski, W.</span> ; <span style=\"font-variant:small-caps;\">Giraldi , L.</span> ; <span style=\"font-variant:small-caps;\">Benelli , E.</span> ; <span style=\"font-variant:small-caps;\">AHFE Open Access</span> (Hrsg.): <i>Conceptual Framework for Designing Domain-Specific LLM-Based Information Systems</i>, <i>AHFE International</i>. Bd. 200. USA : AHFE International, 2026","apa":"Ullrich, D., Wallys, J., &#38; Hinrichsen, S. (2026). Conceptual Framework for Designing Domain-Specific LLM-Based Information Systems. In T. Ahram, W. Karwowski, L. Giraldi , E. Benelli , &#38; AHFE Open Access (Eds.), <i>Intelligent Human Systems Integration (IHSI 2026): Disruptive and Innovative Technologies</i> (Vol. 200, pp. 63–73). AHFE International. <a href=\"https://doi.org/10.54941/ahfe1007065\">https://doi.org/10.54941/ahfe1007065</a>","ieee":"D. Ullrich, J. Wallys, and S. Hinrichsen, <i>Conceptual Framework for Designing Domain-Specific LLM-Based Information Systems</i>, vol. 200. USA: AHFE International, 2026, pp. 63–73. doi: <a href=\"https://doi.org/10.54941/ahfe1007065\">10.54941/ahfe1007065</a>.","chicago":"Ullrich, Dominik, Jens Wallys, and Sven Hinrichsen. <i>Conceptual Framework for Designing Domain-Specific LLM-Based Information Systems</i>. Edited by Tareq Ahram, Waldemar Karwowski, Laura Giraldi , Elisabetta Benelli , and AHFE Open Access. <i>Intelligent Human Systems Integration (IHSI 2026): Disruptive and Innovative Technologies</i>. Vol. 200. AHFE International. USA: AHFE International, 2026. <a href=\"https://doi.org/10.54941/ahfe1007065\">https://doi.org/10.54941/ahfe1007065</a>.","van":"Ullrich D, Wallys J, Hinrichsen S. Conceptual Framework for Designing Domain-Specific LLM-Based Information Systems. Ahram T, Karwowski W, Giraldi  L, Benelli  E, AHFE Open Access, editors. Intelligent Human Systems Integration (IHSI 2026): Disruptive and Innovative Technologies. USA: AHFE International; 2026. (AHFE International; vol. 200).","ama":"Ullrich D, Wallys J, Hinrichsen S. <i>Conceptual Framework for Designing Domain-Specific LLM-Based Information Systems</i>. Vol 200. (Ahram T, Karwowski W, Giraldi  L, Benelli  E, AHFE Open Access, eds.). AHFE International; 2026:63-73. doi:<a href=\"https://doi.org/10.54941/ahfe1007065\">10.54941/ahfe1007065</a>","ufg":"<b>Ullrich, Dominik/Wallys, Jens/Hinrichsen, Sven</b>: Conceptual Framework for Designing Domain-Specific LLM-Based Information Systems, Bd. 200, hg. von Ahram, Tareq u. a., USA 2026 (AHFE International).","havard":"D. Ullrich, J. Wallys, S. Hinrichsen, Conceptual Framework for Designing Domain-Specific LLM-Based Information Systems, AHFE International, USA, 2026.","mla":"Ullrich, Dominik, et al. “Conceptual Framework for Designing Domain-Specific LLM-Based Information Systems.” <i>Intelligent Human Systems Integration (IHSI 2026): Disruptive and Innovative Technologies</i>, edited by Tareq Ahram et al., vol. 200, AHFE International, 2026, pp. 63–73, <a href=\"https://doi.org/10.54941/ahfe1007065\">https://doi.org/10.54941/ahfe1007065</a>.","bjps":"<b>Ullrich D, Wallys J and Hinrichsen S</b> (2026) <i>Conceptual Framework for Designing Domain-Specific LLM-Based Information Systems</i>, Ahram T et al. (eds). USA: AHFE International."},"volume":200,"place":"USA","_id":"13334","doi":"10.54941/ahfe1007065","type":"conference_editor_article","user_id":"83781","intvolume":"       200","conference":{"name":"9th Intelligent Human Systems Integration (IHSI 2026): Disruptive and Innovative Technologies","location":"Florence","end_date":"2026-02-13","start_date":"2026-02-11"},"department":[{"_id":"DEP7020"},{"_id":"DEP1305"},{"_id":"DEP7000"}],"abstract":[{"text":"Retrieval-augmented generation (RAG) based on large language models (LLMs) has established itself as a key technology for combining domain-specific information with generative language skills, thereby providing transparent, up-to-date information. Many firms are already piloting such LLM-based information systems, but report a high degree of complexity in planning and implementation. A generally accepted regulatory framework that consistently maps key decisions is not yet available to companies. This article therefore presents a multi-level system that organizes design decisions throughout the configuration process. This framework is intended to support users in the planning, realizing, evaluation, and further development of an LLM-based information system. To achieve this goal, a qualitative-empirical research design was chosen. First, publications from the period 2022 to 2025 were identified and selected using a systematic literature search in accordance with the PRISMA guideline. The selected publications were then evaluated using a qualitative content analysis. The result is a system that was reviewed, revised and finalized at an expert workshop.","lang":"eng"}],"publisher":"AHFE International","quality_controlled":"1","series_title":"AHFE International","publication_status":"published"},{"user_id":"83781","intvolume":"        14","type":"scientific_journal_article","place":"Basel","_id":"13120","doi":"10.3390/electronics14163177","publication_status":"published","publisher":"MDPI","quality_controlled":"1","department":[{"_id":"DEP5023"},{"_id":"DEP5000"}],"issue":"16","abstract":[{"lang":"eng","text":"This paper introduces an approach that leverages large language models (LLMs) to convert detailed descriptions of an Operational Design Domain (ODD) into realistic, executable simulation scenarios for testing autonomous vehicles. The method combines model-based and data-driven techniques to decompose ODDs into three key components: environmental, scenery, and dynamic elements. It then applies prompt engineering to generate ScenarioRunner scripts compatible with CARLA. The model-based component guides the LLM using structured prompts and a “Tree of Thoughts” strategy to outline the scenario, while a data-driven refinement process, drawing inspiration from red teaming, enhances the accuracy and robustness of the generated scripts over time. Experimental results show that while static components, such as weather and road layouts, are well captured, dynamic elements like vehicle and pedestrian behavior require further refinement. Overall, this approach not only reduces the manual effort involved in creating simulation scenarios but also identifies key challenges and opportunities for advancing safer and more adaptive autonomous driving systems."}],"date_updated":"2025-08-12T07:38:15Z","publication":"Electronics","publication_identifier":{"eissn":["2079-9292 "]},"date_created":"2025-08-11T15:38:12Z","keyword":["large language models","generation","Operational Design Domain","autonomous vehicles","simulation","CARLA","ScenarioRunner","prompt-engineering","fine-tuning"],"language":[{"iso":"eng"}],"volume":14,"citation":{"van":"Danso AA, Büker U. Automated Generation of Test Scenarios for Autonomous Driving Using LLMs. Electronics. 2025;14(16):3177.","ama":"Danso AA, Büker U. Automated Generation of Test Scenarios for Autonomous Driving Using LLMs. <i>Electronics</i>. 2025;14(16):3177. doi:<a href=\"https://doi.org/10.3390/electronics14163177\">10.3390/electronics14163177</a>","ufg":"<b>Danso, Aaron Agyapong/Büker, Ulrich</b>: Automated Generation of Test Scenarios for Autonomous Driving Using LLMs, in: <i>Electronics</i> 14 (2025), H. 16,  S. 3177.","mla":"Danso, Aaron Agyapong, and Ulrich Büker. “Automated Generation of Test Scenarios for Autonomous Driving Using LLMs.” <i>Electronics</i>, vol. 14, no. 16, 2025, p. 3177, <a href=\"https://doi.org/10.3390/electronics14163177\">https://doi.org/10.3390/electronics14163177</a>.","havard":"A.A. Danso, U. Büker, Automated Generation of Test Scenarios for Autonomous Driving Using LLMs, Electronics. 14 (2025) 3177.","bjps":"<b>Danso AA and Büker U</b> (2025) Automated Generation of Test Scenarios for Autonomous Driving Using LLMs. <i>Electronics</i> <b>14</b>, 3177.","apa":"Danso, A. A., &#38; Büker, U. (2025). Automated Generation of Test Scenarios for Autonomous Driving Using LLMs. <i>Electronics</i>, <i>14</i>(16), 3177. <a href=\"https://doi.org/10.3390/electronics14163177\">https://doi.org/10.3390/electronics14163177</a>","ieee":"A. A. Danso and U. Büker, “Automated Generation of Test Scenarios for Autonomous Driving Using LLMs,” <i>Electronics</i>, vol. 14, no. 16, p. 3177, 2025, doi: <a href=\"https://doi.org/10.3390/electronics14163177\">10.3390/electronics14163177</a>.","chicago":"Danso, Aaron Agyapong, and Ulrich Büker. “Automated Generation of Test Scenarios for Autonomous Driving Using LLMs.” <i>Electronics</i> 14, no. 16 (2025): 3177. <a href=\"https://doi.org/10.3390/electronics14163177\">https://doi.org/10.3390/electronics14163177</a>.","short":"A.A. Danso, U. Büker, Electronics 14 (2025) 3177.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Danso, Aaron Agyapong</span> ; <span style=\"font-variant:small-caps;\">Büker, Ulrich</span>: Automated Generation of Test Scenarios for Autonomous Driving Using LLMs. In: <i>Electronics</i> Bd. 14. Basel, MDPI (2025), Nr. 16, S. 3177","chicago-de":"Danso, Aaron Agyapong und Ulrich Büker. 2025. Automated Generation of Test Scenarios for Autonomous Driving Using LLMs. <i>Electronics</i> 14, Nr. 16: 3177. doi:<a href=\"https://doi.org/10.3390/electronics14163177\">10.3390/electronics14163177</a>, ."},"title":"Automated Generation of Test Scenarios for Autonomous Driving Using LLMs","status":"public","page":"3177","author":[{"full_name":"Danso, Aaron Agyapong","first_name":"Aaron Agyapong","last_name":"Danso","id":"84400"},{"orcid":"0000-0002-4403-3889","first_name":"Ulrich","last_name":"Büker","full_name":"Büker, Ulrich","id":"81453"}],"year":"2025"},{"keyword":["Assembly Instruction","Retrieval Augmented Generation (RAG)","Large Language Model (LLM)"],"language":[{"iso":"eng"}],"publication_identifier":{"issn":["2771-0718"],"isbn":["978-1-964867-36-6"]},"publication":"Intelligent Human Systems Integration (IHSI 2025): Integrating People and Intelligent Systems","date_created":"2025-11-10T15:56:45Z","editor":[{"first_name":"Tareq ","full_name":"Ahram, Tareq ","last_name":"Ahram"},{"first_name":"Waldemar ","full_name":"Karwowski, Waldemar ","last_name":"Karwowski"},{"full_name":"Martino, Carlo ","last_name":"Martino","first_name":"Carlo "},{"first_name":"Giuseppe ","last_name":"Di Bucchianico","full_name":"Di Bucchianico, Giuseppe "},{"full_name":"Maselli, Vincenzo ","last_name":"Maselli","first_name":"Vincenzo "}],"date_updated":"2026-01-12T09:39:25Z","year":"2025","author":[{"first_name":"Robin","full_name":"Herbort, Robin","id":"86239","last_name":"Herbort"},{"id":"85489","last_name":"Green","full_name":"Green, Dominik","first_name":"Dominik"},{"first_name":"Sven","last_name":"Hinrichsen","id":"49010","full_name":"Hinrichsen, Sven"}],"status":"public","page":"765-775","title":"Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation","citation":{"ieee":"R. Herbort, D. Green, and S. Hinrichsen, <i>Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation</i>, vol. 160. New York, NY: AHFE , 2025, pp. 765–775. doi: <a href=\"https://doi.org/10.54941/ahfe1005883\">10.54941/ahfe1005883</a>.","ama":"Herbort R, Green D, Hinrichsen S. <i>Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation</i>. Vol 160. (Ahram T, Karwowski W, Martino C, Di Bucchianico G, Maselli V, eds.). AHFE ; 2025:765-775. doi:<a href=\"https://doi.org/10.54941/ahfe1005883\">10.54941/ahfe1005883</a>","short":"R. Herbort, D. Green, S. Hinrichsen, Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation, AHFE , New York, NY, 2025.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Herbort, Robin</span> ; <span style=\"font-variant:small-caps;\">Green, Dominik</span> ; <span style=\"font-variant:small-caps;\">Hinrichsen, Sven</span> ; <span style=\"font-variant:small-caps;\">Ahram, T.</span> ; <span style=\"font-variant:small-caps;\">Karwowski, W.</span> ; <span style=\"font-variant:small-caps;\">Martino, C.</span> ; <span style=\"font-variant:small-caps;\">Di Bucchianico, G.</span> ; <span style=\"font-variant:small-caps;\">Maselli, V.</span> (Hrsg.): <i>Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation</i>, <i>AHFE International</i>. Bd. 160. New York, NY : AHFE , 2025","chicago-de":"Herbort, Robin, Dominik Green und Sven Hinrichsen. 2025. <i>Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation</i>. Hg. von Tareq  Ahram, Waldemar  Karwowski, Carlo  Martino, Giuseppe  Di Bucchianico, und Vincenzo  Maselli. <i>Intelligent Human Systems Integration (IHSI 2025): Integrating People and Intelligent Systems</i>. Bd. 160. AHFE International. New York, NY: AHFE . doi:<a href=\"https://doi.org/10.54941/ahfe1005883\">10.54941/ahfe1005883</a>, .","apa":"Herbort, R., Green, D., &#38; Hinrichsen, S. (2025). Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation. In T. Ahram, W. Karwowski, C. Martino, G. Di Bucchianico, &#38; V. Maselli (Eds.), <i>Intelligent Human Systems Integration (IHSI 2025): Integrating People and Intelligent Systems</i> (Vol. 160, pp. 765–775). AHFE . <a href=\"https://doi.org/10.54941/ahfe1005883\">https://doi.org/10.54941/ahfe1005883</a>","chicago":"Herbort, Robin, Dominik Green, and Sven Hinrichsen. <i>Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation</i>. Edited by Tareq  Ahram, Waldemar  Karwowski, Carlo  Martino, Giuseppe  Di Bucchianico, and Vincenzo  Maselli. <i>Intelligent Human Systems Integration (IHSI 2025): Integrating People and Intelligent Systems</i>. Vol. 160. AHFE International. New York, NY: AHFE , 2025. <a href=\"https://doi.org/10.54941/ahfe1005883\">https://doi.org/10.54941/ahfe1005883</a>.","van":"Herbort R, Green D, Hinrichsen S. Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation. Ahram T, Karwowski W, Martino C, Di Bucchianico G, Maselli V, editors. Intelligent Human Systems Integration (IHSI 2025): Integrating People and Intelligent Systems. New York, NY: AHFE ; 2025. (AHFE International; vol. 160).","havard":"R. Herbort, D. Green, S. Hinrichsen, Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation, AHFE , New York, NY, 2025.","mla":"Herbort, Robin, et al. “Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation.” <i>Intelligent Human Systems Integration (IHSI 2025): Integrating People and Intelligent Systems</i>, edited by Tareq  Ahram et al., vol. 160, AHFE , 2025, pp. 765–75, <a href=\"https://doi.org/10.54941/ahfe1005883\">https://doi.org/10.54941/ahfe1005883</a>.","bjps":"<b>Herbort R, Green D and Hinrichsen S</b> (2025) <i>Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation</i>, Ahram T et al. (eds). New York, NY: AHFE .","ufg":"<b>Herbort, Robin/Green, Dominik/Hinrichsen, Sven</b>: Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation, Bd. 160, hg. von Ahram, Tareq u. a., New York, NY 2025 (AHFE International)."},"volume":160,"_id":"13291","doi":"10.54941/ahfe1005883","place":"New York, NY","type":"conference_editor_article","intvolume":"       160","user_id":"83781","abstract":[{"text":"The application of Large Language Models (LLMs) for the automated generation of assembly instructions shows significant potential for improving work preparation in production processes. However, challenges remain regarding the overall information quality and precision of the generated instructions. In light of these challenges, this study explores how the information quality of automatically generated assembly instructions can be enhanced through the targeted provision of structured input data, such as Assembly and Quantity BOMs (Bills of Materials), as well as the use of optimized prompt chaining techniques. The methodology employs ChatGPT-4o in combination with Retrieval Augmented Generation (RAG) within the Microsoft Azure environment. The results demonstrate that structured data inputs, particularly the use of Assembly BOMs with defined Tool-to-Component relations, significantly improve the precision and relevance of the generated instructions. Despite these advancements, achieving consistent information quality remains a barrier to broader practical implementation. Therefore, feedback loops should be integrated into the assembly instruction generation process to ensure continuous refinement and reliability. Future research should investigate the use of RAG or similar frameworks, focusing on optimizing data structures and implementing feedback mechanisms to enhance the automated generation of assembly instructions.","lang":"eng"}],"department":[{"_id":"DEP7020"}],"conference":{"name":"8th International Conference on Intelligent Human Systems Integration (IHSI 2025)","location":"Rome, Italy","start_date":"2025-02-24","end_date":"2025-02-26"},"publisher":"AHFE ","series_title":"AHFE International","publication_status":"published"},{"series_title":"AHFE International","publication_status":"published","abstract":[{"text":"The application of Large Language Models (LLMs) for the automated generation of assembly instructions shows significant potential for improving work preparation in production processes. However, challenges remain regarding the overall information quality and precision of the generated instructions. In light of these challenges, this study explores how the information quality of automatically generated assembly instructions can be enhanced through the targeted provision of structured input data, such as Assembly and Quantity BOMs (Bills of Materials), as well as the use of optimized prompt chaining techniques. The methodology employs ChatGPT-4o in combination with Retrieval Augmented Generation (RAG) within the Microsoft Azure environment. The results demonstrate that structured data inputs, particularly the use of Assembly BOMs with defined Tool-to-Component relations, significantly improve the precision and relevance of the generated instructions. Despite these advancements, achieving consistent information quality remains a barrier to broader practical implementation. Therefore, feedback loops should be integrated into the assembly instruction generation process to ensure continuous refinement and reliability. Future research should investigate the use of RAG or similar frameworks, focusing on optimizing data structures and implementing feedback mechanisms to enhance the automated generation of assembly instructions.","lang":"eng"}],"department":[{"_id":"DEP7020"},{"_id":"DEP1305"}],"conference":{"name":"Intelligent Human Systems Integration (IHSI)","location":"Rome","start_date":"2025-02-24","end_date":"2025-02-26"},"publisher":"AHFE","quality_controlled":"1","type":"conference_editor_article","intvolume":"       160","user_id":"83781","_id":"13292","doi":"10.54941/ahfe1005883","place":"New York, NY","title":"Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation","volume":160,"citation":{"ieee":"R. Herbort, D. Green, and S. Hinrichsen, <i>Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation</i>, vol. 160. New York, NY: AHFE, 2025. doi: <a href=\"https://doi.org/10.54941/ahfe1005883\">10.54941/ahfe1005883</a>.","ama":"Herbort R, Green D, Hinrichsen S. <i>Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation</i>. Vol 160. (Ahram T, Karwowski W, Martino C, Di Bucchianico G, Maselli V, eds.). AHFE; 2025. doi:<a href=\"https://doi.org/10.54941/ahfe1005883\">10.54941/ahfe1005883</a>","short":"R. Herbort, D. Green, S. Hinrichsen, Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation, AHFE, New York, NY, 2025.","chicago-de":"Herbort, Robin, Dominik Green und Sven Hinrichsen. 2025. <i>Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation</i>. Hg. von Tareq Ahram, Waldemar Karwowski, Carlo Martino, Giuseppe Di Bucchianico, und Vincenzo Maselli. <i>Intelligent Human Systems Integration (IHSI 2025): Integrating People and Intelligent Systems</i>. Bd. 160. AHFE International. New York, NY: AHFE. doi:<a href=\"https://doi.org/10.54941/ahfe1005883\">10.54941/ahfe1005883</a>, .","din1505-2-1":"<span style=\"font-variant:small-caps;\">Herbort, Robin</span> ; <span style=\"font-variant:small-caps;\">Green, Dominik</span> ; <span style=\"font-variant:small-caps;\">Hinrichsen, Sven</span> ; <span style=\"font-variant:small-caps;\">Ahram, T.</span> ; <span style=\"font-variant:small-caps;\">Karwowski, W.</span> ; <span style=\"font-variant:small-caps;\">Martino, C.</span> ; <span style=\"font-variant:small-caps;\">Di Bucchianico, G.</span> ; <span style=\"font-variant:small-caps;\">Maselli, V.</span> (Hrsg.): <i>Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation</i>, <i>AHFE International</i>. Bd. 160. New York, NY : AHFE, 2025","apa":"Herbort, R., Green, D., &#38; Hinrichsen, S. (2025). Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation. In T. Ahram, W. Karwowski, C. Martino, G. Di Bucchianico, &#38; V. Maselli (Eds.), <i>Intelligent Human Systems Integration (IHSI 2025): Integrating People and Intelligent Systems</i> (Vol. 160). AHFE. <a href=\"https://doi.org/10.54941/ahfe1005883\">https://doi.org/10.54941/ahfe1005883</a>","chicago":"Herbort, Robin, Dominik Green, and Sven Hinrichsen. <i>Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation</i>. Edited by Tareq Ahram, Waldemar Karwowski, Carlo Martino, Giuseppe Di Bucchianico, and Vincenzo Maselli. <i>Intelligent Human Systems Integration (IHSI 2025): Integrating People and Intelligent Systems</i>. Vol. 160. AHFE International. New York, NY: AHFE, 2025. <a href=\"https://doi.org/10.54941/ahfe1005883\">https://doi.org/10.54941/ahfe1005883</a>.","van":"Herbort R, Green D, Hinrichsen S. Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation. Ahram T, Karwowski W, Martino C, Di Bucchianico G, Maselli V, editors. Intelligent Human Systems Integration (IHSI 2025): Integrating People and Intelligent Systems. New York, NY: AHFE; 2025. (AHFE International; vol. 160).","mla":"Herbort, Robin, et al. “Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation.” <i>Intelligent Human Systems Integration (IHSI 2025): Integrating People and Intelligent Systems</i>, edited by Tareq Ahram et al., vol. 160, AHFE, 2025, <a href=\"https://doi.org/10.54941/ahfe1005883\">https://doi.org/10.54941/ahfe1005883</a>.","havard":"R. Herbort, D. Green, S. Hinrichsen, Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation, AHFE, New York, NY, 2025.","bjps":"<b>Herbort R, Green D and Hinrichsen S</b> (2025) <i>Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation</i>, Ahram T et al. (eds). New York, NY: AHFE.","ufg":"<b>Herbort, Robin/Green, Dominik/Hinrichsen, Sven</b>: Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation, Bd. 160, hg. von Ahram, Tareq u. a., New York, NY 2025 (AHFE International)."},"year":"2025","main_file_link":[{"open_access":"1","url":"http://doi.org/10.54941/ahfe1005883"}],"author":[{"first_name":"Robin","id":"70575","last_name":"Herbort","full_name":"Herbort, Robin"},{"id":"85489","last_name":"Green","full_name":"Green, Dominik","first_name":"Dominik"},{"last_name":"Hinrichsen","id":"49010","first_name":"Sven","full_name":"Hinrichsen, Sven"}],"status":"public","publication_identifier":{"issn":["2771-0718"],"isbn":["978-1-964867-36-6"]},"publication":"Intelligent Human Systems Integration (IHSI 2025): Integrating People and Intelligent Systems","date_created":"2025-11-10T15:56:46Z","editor":[{"first_name":"Tareq","last_name":"Ahram","full_name":"Ahram, Tareq"},{"last_name":"Karwowski","full_name":"Karwowski, Waldemar","first_name":"Waldemar"},{"full_name":"Martino, Carlo","first_name":"Carlo","last_name":"Martino"},{"first_name":"Giuseppe","full_name":"Di Bucchianico, Giuseppe","last_name":"Di Bucchianico"},{"last_name":"Maselli","full_name":"Maselli, Vincenzo","first_name":"Vincenzo"}],"date_updated":"2025-11-24T08:28:55Z","oa":"1","keyword":["Retrieval Augmented Generation","Large Language Model","Assembly Instructions"],"language":[{"iso":"eng"}]},{"conference":{"end_date":"2025-08-27","start_date":"2025-08-25","location":"Vienna","name":"Human Interaction and Emerging Technologies (IHIET 2025)"},"department":[{"_id":"DEP7020"},{"_id":"DEP1305"}],"abstract":[{"text":"The performance of large language models (LLMs) has improved significantly in recent years, with the result that they are now used in many companies in various industries. However, the design of a company-specific information system involving an LLM is associated with a large number of decisions. This leads to a high level of complexity in the design task. Against this background, companies need a structured approach that methodically supports the planning, development, implementation and long-term maintenance of LLM-based information systems so that domain- and company-specific requirements are taken into account as a result. This article therefore describes a method that supports the design, introduction and maintenance process of an LLM-based information system. The method consists of a process model and a list of design principles, which are also referred to as success factors. The process model developed is based on the proven six-stage REFA planning system. To identify and describe success factors, a systematic literature search was carried out. Based on an analysis of the contents of individual literature sources, success factors for the design of LLM-based information systems were identified. These success factors relate, for example, to the quality of the data provided, data security, user-centered system design and feedback mechanisms for improving information output.","lang":"eng"}],"publisher":"AHFE","quality_controlled":"1","series_title":"AHFE International","publication_status":"published","place":"New York, NY","_id":"13293","doi":"10.54941/ahfe1006709","type":"conference_editor_article","user_id":"83781","intvolume":"       197","author":[{"first_name":"Sven","full_name":"Hinrichsen, Sven","id":"49010","last_name":"Hinrichsen"},{"first_name":"Robin","last_name":"Herbort","full_name":"Herbort, Robin","id":"70575"},{"first_name":"Dominik","full_name":"Green, Dominik","last_name":"Green","id":"85489"},{"first_name":"Benjamin","full_name":"Adrian, Benjamin","id":"42266","last_name":"Adrian"}],"main_file_link":[{"open_access":"1","url":"http://doi.org/10.54941/ahfe1006709"}],"year":"2025","status":"public","title":"How to Design an Operation-Specific LLM-Based Information System","citation":{"ama":"Hinrichsen S, Herbort R, Green D, Adrian B. <i>How to Design an Operation-Specific LLM-Based Information System</i>. Vol 197. (Ahram T, Motschnig R, eds.). AHFE; 2025. doi:<a href=\"https://doi.org/10.54941/ahfe1006709\">10.54941/ahfe1006709</a>","ieee":"S. Hinrichsen, R. Herbort, D. Green, and B. Adrian, <i>How to Design an Operation-Specific LLM-Based Information System</i>, vol. 197. New York, NY: AHFE, 2025. doi: <a href=\"https://doi.org/10.54941/ahfe1006709\">10.54941/ahfe1006709</a>.","short":"S. Hinrichsen, R. Herbort, D. Green, B. Adrian, How to Design an Operation-Specific LLM-Based Information System, AHFE, New York, NY, 2025.","chicago-de":"Hinrichsen, Sven, Robin Herbort, Dominik Green und Benjamin Adrian. 2025. <i>How to Design an Operation-Specific LLM-Based Information System</i>. Hg. von Tareq Ahram und Renate  Motschnig. <i>Human Interaction and Emerging Technologies (IHIET 2025)</i>. Bd. 197. AHFE International. New York, NY: AHFE. doi:<a href=\"https://doi.org/10.54941/ahfe1006709\">10.54941/ahfe1006709</a>, .","din1505-2-1":"<span style=\"font-variant:small-caps;\">Hinrichsen, Sven</span> ; <span style=\"font-variant:small-caps;\">Herbort, Robin</span> ; <span style=\"font-variant:small-caps;\">Green, Dominik</span> ; <span style=\"font-variant:small-caps;\">Adrian, Benjamin</span> ; <span style=\"font-variant:small-caps;\">Ahram, T.</span> ; <span style=\"font-variant:small-caps;\">Motschnig, R.</span> (Hrsg.): <i>How to Design an Operation-Specific LLM-Based Information System</i>, <i>AHFE International</i>. Bd. 197. New York, NY : AHFE, 2025","van":"Hinrichsen S, Herbort R, Green D, Adrian B. How to Design an Operation-Specific LLM-Based Information System. Ahram T, Motschnig R, editors. Human Interaction and Emerging Technologies (IHIET 2025). New York, NY: AHFE; 2025. (AHFE International; vol. 197).","mla":"Hinrichsen, Sven, et al. “How to Design an Operation-Specific LLM-Based Information System.” <i>Human Interaction and Emerging Technologies (IHIET 2025)</i>, edited by Tareq Ahram and Renate  Motschnig, vol. 197, AHFE, 2025, <a href=\"https://doi.org/10.54941/ahfe1006709\">https://doi.org/10.54941/ahfe1006709</a>.","bjps":"<b>Hinrichsen S <i>et al.</i></b> (2025) <i>How to Design an Operation-Specific LLM-Based Information System</i>, Ahram T and Motschnig R (eds). New York, NY: AHFE.","havard":"S. Hinrichsen, R. Herbort, D. Green, B. Adrian, How to Design an Operation-Specific LLM-Based Information System, AHFE, New York, NY, 2025.","ufg":"<b>Hinrichsen, Sven u. a.</b>: How to Design an Operation-Specific LLM-Based Information System, Bd. 197, hg. von Ahram, Tareq/Motschnig, Renate, New York, NY 2025 (AHFE International).","apa":"Hinrichsen, S., Herbort, R., Green, D., &#38; Adrian, B. (2025). How to Design an Operation-Specific LLM-Based Information System. In T. Ahram &#38; R. Motschnig (Eds.), <i>Human Interaction and Emerging Technologies (IHIET 2025)</i> (Vol. 197). AHFE. <a href=\"https://doi.org/10.54941/ahfe1006709\">https://doi.org/10.54941/ahfe1006709</a>","chicago":"Hinrichsen, Sven, Robin Herbort, Dominik Green, and Benjamin Adrian. <i>How to Design an Operation-Specific LLM-Based Information System</i>. Edited by Tareq Ahram and Renate  Motschnig. <i>Human Interaction and Emerging Technologies (IHIET 2025)</i>. Vol. 197. AHFE International. New York, NY: AHFE, 2025. <a href=\"https://doi.org/10.54941/ahfe1006709\">https://doi.org/10.54941/ahfe1006709</a>."},"volume":197,"oa":"1","keyword":["Large language model","Information system","Retrieval augmented generation"],"language":[{"iso":"eng"}],"publication":"Human Interaction and Emerging Technologies (IHIET 2025)","publication_identifier":{"issn":["2771-0718"],"isbn":["978-1-964867-73-1"]},"date_created":"2025-11-10T16:18:06Z","date_updated":"2025-11-24T08:29:46Z","editor":[{"full_name":"Ahram, Tareq","last_name":"Ahram","first_name":"Tareq"},{"first_name":"Renate ","full_name":"Motschnig, Renate ","last_name":"Motschnig"}]},{"abstract":[{"lang":"eng","text":"ynamic simulation models are widely utilized to evaluate complex technical components and systems like electric drives or machines. They can support the development process of a production machine by avoiding an inadequate layout of components or an erroneous control design. However, the effort for building them is often too high for this purpose (lot size one). An automated model generation can be utilized to overcome the gap between efforts and advantages of dynamic simulations.\r\n\r\nThis contribution presents an approach for simplifying the dynamic model generation of production machines by using the so-called Asset Administration Shell defined by the initiative Platform Industrie 4.0. The Asset Administration Shell was developed to aggregate all data necessary for maintaining the product across its life cycle. This includes component data and models as well as structural information about a machine. The generation process is performed by using the common FMI standard and a two-step procedure which allows the linkage of different simulation tools. The model generation is demonstrated by an example layout of a machine's internal direct current grid."}],"department":[{"_id":"DEP6020"},{"_id":"DEP5022"}],"conference":{"start_date":"2021-12-13","end_date":"2021-12-16","name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","location":"Online  (Singapore)"},"publisher":"IEEE","series_title":"IEEE International Conference on Industrial Engineering and Engineering Management ","publication_status":"published","doi":"10.1109/IEEM50564.2021.9673089","_id":"8384","place":"[Piscataway, NJ]","type":"conference_editor_article","user_id":"83781","year":"2021","author":[{"full_name":"Göllner, D.","last_name":"Göllner","first_name":"D."},{"id":"58915","full_name":"Pawlik, Thomas","last_name":"Pawlik","first_name":"Thomas"},{"first_name":"Thomas","id":"46242","full_name":"Schulte, Thomas","last_name":"Schulte"}],"page":"808-812","status":"public","title":"Utilization of the Asset Administration Shell for the Generation of Dynamic Simulation Models","citation":{"ieee":"D. Göllner, T. Pawlik, and T. Schulte, <i>Utilization of the Asset Administration Shell for the Generation of Dynamic Simulation Models</i>. [Piscataway, NJ]: IEEE, 2021, pp. 808–812. doi: <a href=\"https://doi.org/10.1109/IEEM50564.2021.9673089\">10.1109/IEEM50564.2021.9673089</a>.","ama":"Göllner D, Pawlik T, Schulte T. <i>Utilization of the Asset Administration Shell for the Generation of Dynamic Simulation Models</i>. (IEEE Singapore Section, IEEE TEMS Singapore Chapter,, IEEE TEMS Hong Kong Chapter, eds.). IEEE; 2021:808-812. doi:<a href=\"https://doi.org/10.1109/IEEM50564.2021.9673089\">10.1109/IEEM50564.2021.9673089</a>","chicago-de":"Göllner, D., Thomas Pawlik und Thomas Schulte. 2021. <i>Utilization of the Asset Administration Shell for the Generation of Dynamic Simulation Models</i>. Hg. von IEEE Singapore Section, IEEE TEMS Singapore Chapter, und IEEE TEMS Hong Kong Chapter. <i>2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)</i>. IEEE International Conference on Industrial Engineering and Engineering Management . [Piscataway, NJ]: IEEE. doi:<a href=\"https://doi.org/10.1109/IEEM50564.2021.9673089\">10.1109/IEEM50564.2021.9673089</a>, .","din1505-2-1":"<span style=\"font-variant:small-caps;\">Göllner, D.</span> ; <span style=\"font-variant:small-caps;\">Pawlik, Thomas</span> ; <span style=\"font-variant:small-caps;\">Schulte, Thomas</span> ; <span style=\"font-variant:small-caps;\">IEEE Singapore Section</span> ; <span style=\"font-variant:small-caps;\">IEEE TEMS Singapore Chapter,</span> ; <span style=\"font-variant:small-caps;\">IEEE TEMS Hong Kong Chapter</span> (Hrsg.): <i>Utilization of the Asset Administration Shell for the Generation of Dynamic Simulation Models</i>, <i>IEEE International Conference on Industrial Engineering and Engineering Management </i>. [Piscataway, NJ] : IEEE, 2021","short":"D. Göllner, T. Pawlik, T. Schulte, Utilization of the Asset Administration Shell for the Generation of Dynamic Simulation Models, IEEE, [Piscataway, NJ], 2021.","chicago":"Göllner, D., Thomas Pawlik, and Thomas Schulte. <i>Utilization of the Asset Administration Shell for the Generation of Dynamic Simulation Models</i>. Edited by IEEE Singapore Section, IEEE TEMS Singapore Chapter, and IEEE TEMS Hong Kong Chapter. <i>2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)</i>. IEEE International Conference on Industrial Engineering and Engineering Management . [Piscataway, NJ]: IEEE, 2021. <a href=\"https://doi.org/10.1109/IEEM50564.2021.9673089\">https://doi.org/10.1109/IEEM50564.2021.9673089</a>.","apa":"Göllner, D., Pawlik, T., &#38; Schulte, T. (2021). Utilization of the Asset Administration Shell for the Generation of Dynamic Simulation Models. In IEEE Singapore Section, IEEE TEMS Singapore Chapter, &#38; IEEE TEMS Hong Kong Chapter (Eds.), <i>2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)</i> (pp. 808–812). IEEE. <a href=\"https://doi.org/10.1109/IEEM50564.2021.9673089\">https://doi.org/10.1109/IEEM50564.2021.9673089</a>","bjps":"<b>Göllner D, Pawlik T and Schulte T</b> (2021) <i>Utilization of the Asset Administration Shell for the Generation of Dynamic Simulation Models</i>, IEEE Singapore Section, IEEE TEMS Singapore Chapter, and IEEE TEMS Hong Kong Chapter (eds). [Piscataway, NJ]: IEEE.","mla":"Göllner, D., et al. “Utilization of the Asset Administration Shell for the Generation of Dynamic Simulation Models.” <i>2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)</i>, edited by IEEE Singapore Section et al., IEEE, 2021, pp. 808–12, <a href=\"https://doi.org/10.1109/IEEM50564.2021.9673089\">https://doi.org/10.1109/IEEM50564.2021.9673089</a>.","havard":"D. Göllner, T. Pawlik, T. Schulte, Utilization of the Asset Administration Shell for the Generation of Dynamic Simulation Models, IEEE, [Piscataway, NJ], 2021.","ufg":"<b>Göllner, D./Pawlik, Thomas/Schulte, Thomas</b>: Utilization of the Asset Administration Shell for the Generation of Dynamic Simulation Models, hg. von IEEE Singapore Section/IEEE TEMS Singapore Chapter,, IEEE TEMS Hong Kong Chapter, [Piscataway, NJ] 2021 (IEEE International Conference on Industrial Engineering and Engineering Management ).","van":"Göllner D, Pawlik T, Schulte T. Utilization of the Asset Administration Shell for the Generation of Dynamic Simulation Models. IEEE Singapore Section, IEEE TEMS Singapore Chapter,, IEEE TEMS Hong Kong Chapter, editors. 2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). [Piscataway, NJ]: IEEE; 2021. (IEEE International Conference on Industrial Engineering and Engineering Management )."},"language":[{"iso":"eng"}],"keyword":["Digital Twin","Asset Administration Shell","Dynamic Simulation Model","Industry 4.0","Automated Model Generation"],"date_created":"2022-06-22T14:14:28Z","publication_identifier":{"eisbn":["978-1-6654-3771-4"],"issn":["2157-3611"],"isbn":["978-1-6654-3772-1 "]},"publication":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","corporate_editor":["IEEE Singapore Section","IEEE TEMS Singapore Chapter,","IEEE TEMS Hong Kong Chapter"],"date_updated":"2025-06-26T13:38:36Z"},{"title":"Teaching by Demonstrating – How Smart Assistive Systems Can Learn from Users","volume":12203,"citation":{"ama":"Büttner S, Peda A, Heinz M, Röcker C. Teaching by Demonstrating – How Smart Assistive Systems Can Learn from Users. In: <i>22nd International Conference on Human-Computer Interaction</i>. Vol 12203. Lecture Notes in Computer Science. Springer; 2020:153-163. doi:<a href=\"https://doi.org/10.1007/978-3-030-50344-4_12\">https://doi.org/10.1007/978-3-030-50344-4_12</a>","ieee":"S. Büttner, A. Peda, M. Heinz, and C. Röcker, “Teaching by Demonstrating – How Smart Assistive Systems Can Learn from Users,” in <i>22nd International Conference on Human-Computer Interaction</i>, Copenhagen, Denmark, 2020, vol. 12203, pp. 153–163. doi: <a href=\"https://doi.org/10.1007/978-3-030-50344-4_12\">https://doi.org/10.1007/978-3-030-50344-4_12</a>.","mla":"Büttner, Sebastian, et al. “Teaching by Demonstrating – How Smart Assistive Systems Can Learn from Users.” <i>22nd International Conference on Human-Computer Interaction</i>, vol. 12203, Springer, 2020, pp. 153–63, <a href=\"https://doi.org/10.1007/978-3-030-50344-4_12\">https://doi.org/10.1007/978-3-030-50344-4_12</a>.","havard":"S. Büttner, A. Peda, M. Heinz, C. Röcker, Teaching by Demonstrating – How Smart Assistive Systems Can Learn from Users, in: 22nd International Conference on Human-Computer Interaction, Springer, Berlin, 2020: pp. 153–163.","bjps":"<b>Büttner S <i>et al.</i></b> (2020) Teaching by Demonstrating – How Smart Assistive Systems Can Learn from Users. <i>22nd International Conference on Human-Computer Interaction</i>, vol. 12203. Berlin: Springer, pp. 153–163.","ufg":"<b>Büttner, Sebastian u. a.</b>: Teaching by Demonstrating – How Smart Assistive Systems Can Learn from Users, in: o. Hg.: 22nd International Conference on Human-Computer Interaction, Bd. 12203, Berlin 2020 (Lecture Notes in Computer Science),  S. 153–163.","van":"Büttner S, Peda A, Heinz M, Röcker C. Teaching by Demonstrating – How Smart Assistive Systems Can Learn from Users. In: 22nd International Conference on Human-Computer Interaction. Berlin: Springer; 2020. p. 153–63. (Lecture Notes in Computer Science; vol. 12203).","chicago":"Büttner, Sebastian, Andreas Peda, Mario Heinz, and Carsten Röcker. “Teaching by Demonstrating – How Smart Assistive Systems Can Learn from Users.” In <i>22nd International Conference on Human-Computer Interaction</i>, 12203:153–63. Lecture Notes in Computer Science. Berlin: Springer, 2020. <a href=\"https://doi.org/10.1007/978-3-030-50344-4_12\">https://doi.org/10.1007/978-3-030-50344-4_12</a>.","apa":"Büttner, S., Peda, A., Heinz, M., &#38; Röcker, C. (2020). Teaching by Demonstrating – How Smart Assistive Systems Can Learn from Users. <i>22nd International Conference on Human-Computer Interaction</i>, <i>12203</i>, 153–163. <a href=\"https://doi.org/10.1007/978-3-030-50344-4_12\">https://doi.org/10.1007/978-3-030-50344-4_12</a>","din1505-2-1":"<span style=\"font-variant:small-caps;\">Büttner, Sebastian</span> ; <span style=\"font-variant:small-caps;\">Peda, Andreas</span> ; <span style=\"font-variant:small-caps;\">Heinz, Mario</span> ; <span style=\"font-variant:small-caps;\">Röcker, Carsten</span>: Teaching by Demonstrating – How Smart Assistive Systems Can Learn from Users. In: <i>22nd International Conference on Human-Computer Interaction</i>, <i>Lecture Notes in Computer Science</i>. Bd. 12203. Berlin : Springer, 2020, S. 153–163","chicago-de":"Büttner, Sebastian, Andreas Peda, Mario Heinz und Carsten Röcker. 2020. Teaching by Demonstrating – How Smart Assistive Systems Can Learn from Users. In: <i>22nd International Conference on Human-Computer Interaction</i>, 12203:153–163. Lecture Notes in Computer Science. Berlin: Springer. doi:<a href=\"https://doi.org/10.1007/978-3-030-50344-4_12\">https://doi.org/10.1007/978-3-030-50344-4_12</a>, .","short":"S. Büttner, A. Peda, M. Heinz, C. Röcker, in: 22nd International Conference on Human-Computer Interaction, Springer, Berlin, 2020, pp. 153–163."},"author":[{"last_name":"Büttner","first_name":"Sebastian","full_name":"Büttner, Sebastian","id":"61868"},{"id":"51144","first_name":"Andreas","full_name":"Peda, Andreas","last_name":"Peda"},{"last_name":"Heinz","id":"68913","first_name":"Mario","full_name":"Heinz, Mario"},{"last_name":"Röcker","first_name":"Carsten","full_name":"Röcker, Carsten","id":"61525"}],"main_file_link":[{"open_access":"1","url":"https://link.springer.com/chapter/10.1007/978-3-030-50344-4_12"}],"year":"2020","status":"public","page":"153-163","publication_identifier":{"isbn":["978-3-030-50343-7"],"eisbn":["978-3-030-50344-4"]},"publication":"22nd International Conference on Human-Computer Interaction","date_created":"2020-11-26T14:10:00Z","date_updated":"2025-06-26T08:59:53Z","oa":"1","keyword":["Assitive system","Authoring","Instruction generation","Computer vision","Teaching by demonstration"],"language":[{"iso":"eng"}],"series_title":"Lecture Notes in Computer Science","publication_status":"published","department":[{"_id":"DEP5023"}],"conference":{"start_date":"2020-07-19","end_date":"2020-07-24","location":"Copenhagen, Denmark","name":"22nd International Conference on Human-Computer Interaction"},"abstract":[{"text":"Projection-based assitive systems that guide users through assembly work are on their way to industrial application. Previous research work investigated how people can be supported with such systems. However, there has been little work on the question on how to generate and author sequential instructions for assitive systems. In this paper, we present a new concept and a prototypical implementation of an assitive system that can be taught by demonstrating an assembly process. By using a combination of RGB and depth cameras, we can generate an assembly instruction of Lego Duplo bricks based on the demonstration of a user. This generated manual can later on be used for assisting other users in the assembly process. By our prototype system, we show the technological feasibility of assistive systems that can learn from users.","lang":"eng"}],"publisher":"Springer","type":"conference","user_id":"83781","intvolume":"     12203","place":"Berlin","_id":"4094","doi":"https://doi.org/10.1007/978-3-030-50344-4_12"},{"keyword":["Memory Making","Generation Y","Millenials","Human-Computer-Relationship","Mobile Phone","Spatial Theory","Perception"],"place":"Buffalo","language":[{"iso":"eng"}],"_id":"11444","type":"master_thesis","date_created":"2024-05-08T07:53:59Z","supervisor":[{"first_name":"Michael","last_name":"Markert","full_name":"Markert, Michael"},{"full_name":"Geiger, Jordan","first_name":"Jordan","last_name":"Geiger"}],"user_id":"83781","date_updated":"2024-05-13T09:10:30Z","year":"2017","author":[{"orcid":"https://orcid.org/0000-0002-9756-9548","full_name":"Pusch, Lisa","last_name":"Pusch","id":"85026","first_name":"Lisa"}],"department":[{"_id":"DEP1000"}],"abstract":[{"text":"Generation Y marks the transition between a world with and without fully implemented Internet: A new kind of virtual space is formed and is impacting the way we live in this world, the way we perceive it, and the way we interact with it. Mobile devices, such as phones, build a new form of electronic technology type we interact with. This thesis investigates how this new form of relation can give insights to the way we are situated in this world with all its complexities and levels.\r\nIn a case study, the author focuses on the relationship with mobile devices in the context of memory (making and recalling), materiality (haptic and metaphoric) and the human body itself (perception and sensory system). By developing a practice and contextualizing it in terms of space-theoretical and phenomenological concepts, this thesis aims to start a discourse on our human, (un-)conscious relation to mobile devices in place and time. Is it time for an imperfect, humane view towards the era of information from a Millennial perspective?","lang":"eng"}],"status":"public","page":"264","publisher":"ProQuest","title":"On memory: Body, devices, material. Towards a new practice of MediaArchitecture","extern":"1","citation":{"apa":"Pusch, L. (n.d.). <i>On memory: Body, devices, material. Towards a new practice of MediaArchitecture</i>. ProQuest.","chicago":"Pusch, Lisa. <i>On Memory: Body, Devices, Material. Towards a New Practice of MediaArchitecture</i>. Buffalo: ProQuest, n.d.","van":"Pusch L. On memory: Body, devices, material. Towards a new practice of MediaArchitecture. Buffalo: ProQuest; 264 p.","ufg":"<b>Pusch, Lisa</b>: On memory: Body, devices, material. Towards a new practice of MediaArchitecture, Buffalo o. J.","havard":"L. Pusch, On memory: Body, devices, material. Towards a new practice of MediaArchitecture, ProQuest, Buffalo, n.d.","mla":"Pusch, Lisa. <i>On Memory: Body, Devices, Material. Towards a New Practice of MediaArchitecture</i>. ProQuest.","bjps":"<b>Pusch L</b> (n.d.) <i>On Memory: Body, Devices, Material. Towards a New Practice of MediaArchitecture</i>. Buffalo: ProQuest.","short":"L. Pusch, On Memory: Body, Devices, Material. Towards a New Practice of MediaArchitecture, ProQuest, Buffalo, n.d.","chicago-de":"Pusch, Lisa. <i>On memory: Body, devices, material. Towards a new practice of MediaArchitecture</i>. Buffalo: ProQuest.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Pusch, Lisa</span>: <i>On memory: Body, devices, material. Towards a new practice of MediaArchitecture</i>. Buffalo : ProQuest","ieee":"L. Pusch, <i>On memory: Body, devices, material. Towards a new practice of MediaArchitecture</i>. Buffalo: ProQuest.","ama":"Pusch L. <i>On Memory: Body, Devices, Material. Towards a New Practice of MediaArchitecture</i>. ProQuest"},"publication_status":"accepted"}]