---
_id: '13334'
abstract:
- lang: eng
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.
author:
- first_name: Dominik
full_name: Ullrich, Dominik
id: '85823'
last_name: Ullrich
- first_name: Jens
full_name: Wallys, Jens
id: '79046'
last_name: Wallys
- first_name: Sven
full_name: Hinrichsen, Sven
id: '49010'
last_name: Hinrichsen
citation:
ama: Ullrich D, Wallys J, Hinrichsen S. Conceptual Framework for Designing Domain-Specific
LLM-Based Information Systems. Vol 200. (Ahram T, Karwowski W, Giraldi L,
Benelli E, AHFE Open Access, eds.). AHFE International; 2026:63-73. doi:10.54941/ahfe1007065
apa: 'Ullrich, D., Wallys, J., & Hinrichsen, S. (2026). Conceptual Framework
for Designing Domain-Specific LLM-Based Information Systems. In T. Ahram, W. Karwowski,
L. Giraldi , E. Benelli , & AHFE Open Access (Eds.), Intelligent Human
Systems Integration (IHSI 2026): Disruptive and Innovative Technologies (Vol.
200, pp. 63–73). AHFE International. https://doi.org/10.54941/ahfe1007065'
bjps: 'Ullrich D, Wallys J and Hinrichsen S (2026) Conceptual Framework
for Designing Domain-Specific LLM-Based Information Systems, Ahram T et al.
(eds). USA: AHFE International.'
chicago: 'Ullrich, Dominik, Jens Wallys, and Sven Hinrichsen. Conceptual Framework
for Designing Domain-Specific LLM-Based Information Systems. Edited by Tareq
Ahram, Waldemar Karwowski, Laura Giraldi , Elisabetta Benelli , and AHFE Open
Access. Intelligent Human Systems Integration (IHSI 2026): Disruptive and Innovative
Technologies. Vol. 200. AHFE International. USA: AHFE International, 2026.
https://doi.org/10.54941/ahfe1007065.'
chicago-de: 'Ullrich, Dominik, Jens Wallys und Sven Hinrichsen. 2026. Conceptual
Framework for Designing Domain-Specific LLM-Based Information Systems. Hg.
von Tareq Ahram, Waldemar Karwowski, Laura Giraldi , Elisabetta Benelli , und
AHFE Open Access. Intelligent Human Systems Integration (IHSI 2026): Disruptive
and Innovative Technologies. Bd. 200. AHFE International. USA: AHFE International.
doi:10.54941/ahfe1007065, .'
din1505-2-1: 'Ullrich, Dominik ; Wallys, Jens ; Hinrichsen,
Sven ; Ahram, T. ; Karwowski, W. ; Giraldi
, L. ; Benelli , E. ; AHFE Open Access (Hrsg.): Conceptual
Framework for Designing Domain-Specific LLM-Based Information Systems, AHFE
International. Bd. 200. USA : AHFE International, 2026'
havard: D. Ullrich, J. Wallys, S. Hinrichsen, Conceptual Framework for Designing
Domain-Specific LLM-Based Information Systems, AHFE International, USA, 2026.
ieee: 'D. Ullrich, J. Wallys, and S. Hinrichsen, Conceptual Framework for Designing
Domain-Specific LLM-Based Information Systems, vol. 200. USA: AHFE International,
2026, pp. 63–73. doi: 10.54941/ahfe1007065.'
mla: 'Ullrich, Dominik, et al. “Conceptual Framework for Designing Domain-Specific
LLM-Based Information Systems.” Intelligent Human Systems Integration (IHSI
2026): Disruptive and Innovative Technologies, edited by Tareq Ahram et al.,
vol. 200, AHFE International, 2026, pp. 63–73, https://doi.org/10.54941/ahfe1007065.'
short: D. Ullrich, J. Wallys, S. Hinrichsen, Conceptual Framework for Designing
Domain-Specific LLM-Based Information Systems, AHFE International, USA, 2026.
ufg: 'Ullrich, Dominik/Wallys, Jens/Hinrichsen, Sven: Conceptual Framework
for Designing Domain-Specific LLM-Based Information Systems, Bd. 200, hg. von
Ahram, Tareq u. a., USA 2026 (AHFE International).'
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).'
conference:
end_date: 2026-02-13
location: Florence
name: '9th Intelligent Human Systems Integration (IHSI 2026): Disruptive and Innovative
Technologies'
start_date: 2026-02-11
corporate_editor:
- AHFE Open Access
date_created: 2026-01-09T07:27:32Z
date_updated: 2026-01-12T09:36:40Z
department:
- _id: DEP7020
- _id: DEP1305
- _id: DEP7000
doi: 10.54941/ahfe1007065
editor:
- first_name: Tareq
full_name: Ahram, Tareq
last_name: Ahram
- first_name: Waldemar
full_name: Karwowski, Waldemar
last_name: Karwowski
- first_name: Laura
full_name: Giraldi , Laura
last_name: 'Giraldi '
- first_name: Elisabetta
full_name: Benelli , Elisabetta
last_name: 'Benelli '
intvolume: ' 200'
keyword:
- Retrieval-Augmented Generation
- LLM-Based Information System
- Conceptual Framework
language:
- iso: eng
page: 63-73
place: USA
publication: 'Intelligent Human Systems Integration (IHSI 2026): Disruptive and Innovative
Technologies'
publication_identifier:
isbn:
- 978-1-964867-76-2
issn:
- 2771-0718
publication_status: published
publisher: AHFE International
quality_controlled: '1'
series_title: AHFE International
status: public
title: Conceptual Framework for Designing Domain-Specific LLM-Based Information Systems
type: conference_editor_article
user_id: '83781'
volume: 200
year: '2026'
...
---
_id: '13120'
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.'
author:
- first_name: Aaron Agyapong
full_name: Danso, Aaron Agyapong
id: '84400'
last_name: Danso
- first_name: Ulrich
full_name: Büker, Ulrich
id: '81453'
last_name: Büker
orcid: 0000-0002-4403-3889
citation:
ama: Danso AA, Büker U. Automated Generation of Test Scenarios for Autonomous Driving
Using LLMs. Electronics. 2025;14(16):3177. doi:10.3390/electronics14163177
apa: Danso, A. A., & Büker, U. (2025). Automated Generation of Test Scenarios
for Autonomous Driving Using LLMs. Electronics, 14(16), 3177. https://doi.org/10.3390/electronics14163177
bjps: Danso AA and Büker U (2025) Automated Generation of Test Scenarios
for Autonomous Driving Using LLMs. Electronics 14, 3177.
chicago: 'Danso, Aaron Agyapong, and Ulrich Büker. “Automated Generation of Test
Scenarios for Autonomous Driving Using LLMs.” Electronics 14, no. 16 (2025):
3177. https://doi.org/10.3390/electronics14163177.'
chicago-de: 'Danso, Aaron Agyapong und Ulrich Büker. 2025. Automated Generation
of Test Scenarios for Autonomous Driving Using LLMs. Electronics 14, Nr.
16: 3177. doi:10.3390/electronics14163177,
.'
din1505-2-1: 'Danso, Aaron Agyapong
; Büker, Ulrich: Automated Generation
of Test Scenarios for Autonomous Driving Using LLMs. In: Electronics Bd.
14. Basel, MDPI (2025), Nr. 16, S. 3177'
havard: A.A. Danso, U. Büker, Automated Generation of Test Scenarios for Autonomous
Driving Using LLMs, Electronics. 14 (2025) 3177.
ieee: 'A. A. Danso and U. Büker, “Automated Generation of Test Scenarios for Autonomous
Driving Using LLMs,” Electronics, vol. 14, no. 16, p. 3177, 2025, doi:
10.3390/electronics14163177.'
mla: Danso, Aaron Agyapong, and Ulrich Büker. “Automated Generation of Test Scenarios
for Autonomous Driving Using LLMs.” Electronics, vol. 14, no. 16, 2025,
p. 3177, https://doi.org/10.3390/electronics14163177.
short: A.A. Danso, U. Büker, Electronics 14 (2025) 3177.
ufg: 'Danso, Aaron Agyapong/Büker, Ulrich: Automated Generation of Test Scenarios
for Autonomous Driving Using LLMs, in: Electronics 14 (2025), H. 16, S.
3177.'
van: Danso AA, Büker U. Automated Generation of Test Scenarios for Autonomous Driving
Using LLMs. Electronics. 2025;14(16):3177.
date_created: 2025-08-11T15:38:12Z
date_updated: 2025-08-12T07:38:15Z
department:
- _id: DEP5023
- _id: DEP5000
doi: 10.3390/electronics14163177
intvolume: ' 14'
issue: '16'
keyword:
- large language models
- generation
- Operational Design Domain
- autonomous vehicles
- simulation
- CARLA
- ScenarioRunner
- prompt-engineering
- fine-tuning
language:
- iso: eng
page: '3177'
place: Basel
publication: Electronics
publication_identifier:
eissn:
- '2079-9292 '
publication_status: published
publisher: MDPI
quality_controlled: '1'
status: public
title: Automated Generation of Test Scenarios for Autonomous Driving Using LLMs
type: scientific_journal_article
user_id: '83781'
volume: 14
year: '2025'
...
---
_id: '13291'
abstract:
- lang: eng
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.
author:
- first_name: Robin
full_name: Herbort, Robin
id: '86239'
last_name: Herbort
- first_name: Dominik
full_name: Green, Dominik
id: '85489'
last_name: Green
- first_name: Sven
full_name: Hinrichsen, Sven
id: '49010'
last_name: Hinrichsen
citation:
ama: Herbort R, Green D, Hinrichsen S. Automatic Creation of Assembly Instructions
by Using Retrieval Augmented Generation. Vol 160. (Ahram T, Karwowski W, Martino
C, Di Bucchianico G, Maselli V, eds.). AHFE ; 2025:765-775. doi:10.54941/ahfe1005883
apa: 'Herbort, R., Green, D., & Hinrichsen, S. (2025). Automatic Creation of
Assembly Instructions by Using Retrieval Augmented Generation. In T. Ahram, W.
Karwowski, C. Martino, G. Di Bucchianico, & V. Maselli (Eds.), Intelligent
Human Systems Integration (IHSI 2025): Integrating People and Intelligent Systems
(Vol. 160, pp. 765–775). AHFE . https://doi.org/10.54941/ahfe1005883'
bjps: 'Herbort R, Green D and Hinrichsen S (2025) Automatic Creation of
Assembly Instructions by Using Retrieval Augmented Generation, Ahram T et
al. (eds). New York, NY: AHFE .'
chicago: 'Herbort, Robin, Dominik Green, and Sven Hinrichsen. Automatic Creation
of Assembly Instructions by Using Retrieval Augmented Generation. Edited by
Tareq Ahram, Waldemar Karwowski, Carlo Martino, Giuseppe Di Bucchianico, and
Vincenzo Maselli. Intelligent Human Systems Integration (IHSI 2025): Integrating
People and Intelligent Systems. Vol. 160. AHFE International. New York, NY:
AHFE , 2025. https://doi.org/10.54941/ahfe1005883.'
chicago-de: 'Herbort, Robin, Dominik Green und Sven Hinrichsen. 2025. Automatic
Creation of Assembly Instructions by Using Retrieval Augmented Generation.
Hg. von Tareq Ahram, Waldemar Karwowski, Carlo Martino, Giuseppe Di Bucchianico,
und Vincenzo Maselli. Intelligent Human Systems Integration (IHSI 2025): Integrating
People and Intelligent Systems. Bd. 160. AHFE International. New York, NY:
AHFE . doi:10.54941/ahfe1005883,
.'
din1505-2-1: 'Herbort, Robin ; Green, Dominik ; Hinrichsen,
Sven ; Ahram, T. ; Karwowski, W. ; Martino,
C. ; Di Bucchianico, G. ;
Maselli, V. (Hrsg.): Automatic
Creation of Assembly Instructions by Using Retrieval Augmented Generation,
AHFE International. Bd. 160. New York, NY : AHFE , 2025'
havard: R. Herbort, D. Green, S. Hinrichsen, Automatic Creation of Assembly Instructions
by Using Retrieval Augmented Generation, AHFE , New York, NY, 2025.
ieee: 'R. Herbort, D. Green, and S. Hinrichsen, Automatic Creation of Assembly
Instructions by Using Retrieval Augmented Generation, vol. 160. New York,
NY: AHFE , 2025, pp. 765–775. doi: 10.54941/ahfe1005883.'
mla: 'Herbort, Robin, et al. “Automatic Creation of Assembly Instructions by Using
Retrieval Augmented Generation.” Intelligent Human Systems Integration (IHSI
2025): Integrating People and Intelligent Systems, edited by Tareq Ahram
et al., vol. 160, AHFE , 2025, pp. 765–75, https://doi.org/10.54941/ahfe1005883.'
short: R. Herbort, D. Green, S. Hinrichsen, Automatic Creation of Assembly Instructions
by Using Retrieval Augmented Generation, AHFE , New York, NY, 2025.
ufg: 'Herbort, Robin/Green, Dominik/Hinrichsen, Sven: Automatic Creation
of Assembly Instructions by Using Retrieval Augmented Generation, Bd. 160, hg.
von Ahram, Tareq u. a., New York, NY 2025 (AHFE International).'
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).'
conference:
end_date: 2025-02-26
location: Rome, Italy
name: 8th International Conference on Intelligent Human Systems Integration (IHSI
2025)
start_date: 2025-02-24
date_created: 2025-11-10T15:56:45Z
date_updated: 2026-01-12T09:39:25Z
department:
- _id: DEP7020
doi: 10.54941/ahfe1005883
editor:
- first_name: 'Tareq '
full_name: 'Ahram, Tareq '
last_name: Ahram
- first_name: 'Waldemar '
full_name: 'Karwowski, Waldemar '
last_name: Karwowski
- first_name: 'Carlo '
full_name: 'Martino, Carlo '
last_name: Martino
- first_name: 'Giuseppe '
full_name: 'Di Bucchianico, Giuseppe '
last_name: Di Bucchianico
- first_name: 'Vincenzo '
full_name: 'Maselli, Vincenzo '
last_name: Maselli
intvolume: ' 160'
keyword:
- Assembly Instruction
- Retrieval Augmented Generation (RAG)
- Large Language Model (LLM)
language:
- iso: eng
page: 765-775
place: New York, NY
publication: 'Intelligent Human Systems Integration (IHSI 2025): Integrating People
and Intelligent Systems'
publication_identifier:
isbn:
- 978-1-964867-36-6
issn:
- 2771-0718
publication_status: published
publisher: 'AHFE '
series_title: AHFE International
status: public
title: Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation
type: conference_editor_article
user_id: '83781'
volume: 160
year: '2025'
...
---
_id: '13292'
abstract:
- lang: eng
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.
author:
- first_name: Robin
full_name: Herbort, Robin
id: '70575'
last_name: Herbort
- first_name: Dominik
full_name: Green, Dominik
id: '85489'
last_name: Green
- first_name: Sven
full_name: Hinrichsen, Sven
id: '49010'
last_name: Hinrichsen
citation:
ama: Herbort R, Green D, Hinrichsen S. Automatic Creation of Assembly Instructions
by Using Retrieval Augmented Generation. Vol 160. (Ahram T, Karwowski W, Martino
C, Di Bucchianico G, Maselli V, eds.). AHFE; 2025. doi:10.54941/ahfe1005883
apa: 'Herbort, R., Green, D., & Hinrichsen, S. (2025). Automatic Creation of
Assembly Instructions by Using Retrieval Augmented Generation. In T. Ahram, W.
Karwowski, C. Martino, G. Di Bucchianico, & V. Maselli (Eds.), Intelligent
Human Systems Integration (IHSI 2025): Integrating People and Intelligent Systems
(Vol. 160). AHFE. https://doi.org/10.54941/ahfe1005883'
bjps: 'Herbort R, Green D and Hinrichsen S (2025) Automatic Creation of
Assembly Instructions by Using Retrieval Augmented Generation, Ahram T et
al. (eds). New York, NY: AHFE.'
chicago: 'Herbort, Robin, Dominik Green, and Sven Hinrichsen. Automatic Creation
of Assembly Instructions by Using Retrieval Augmented Generation. Edited by
Tareq Ahram, Waldemar Karwowski, Carlo Martino, Giuseppe Di Bucchianico, and Vincenzo
Maselli. Intelligent Human Systems Integration (IHSI 2025): Integrating People
and Intelligent Systems. Vol. 160. AHFE International. New York, NY: AHFE,
2025. https://doi.org/10.54941/ahfe1005883.'
chicago-de: 'Herbort, Robin, Dominik Green und Sven Hinrichsen. 2025. Automatic
Creation of Assembly Instructions by Using Retrieval Augmented Generation.
Hg. von Tareq Ahram, Waldemar Karwowski, Carlo Martino, Giuseppe Di Bucchianico,
und Vincenzo Maselli. Intelligent Human Systems Integration (IHSI 2025): Integrating
People and Intelligent Systems. Bd. 160. AHFE International. New York, NY:
AHFE. doi:10.54941/ahfe1005883,
.'
din1505-2-1: 'Herbort, Robin ; Green, Dominik ; Hinrichsen,
Sven ; Ahram, T. ; Karwowski, W. ; Martino,
C. ; Di Bucchianico, G. ;
Maselli, V. (Hrsg.): Automatic
Creation of Assembly Instructions by Using Retrieval Augmented Generation,
AHFE International. Bd. 160. New York, NY : AHFE, 2025'
havard: R. Herbort, D. Green, S. Hinrichsen, Automatic Creation of Assembly Instructions
by Using Retrieval Augmented Generation, AHFE, New York, NY, 2025.
ieee: 'R. Herbort, D. Green, and S. Hinrichsen, Automatic Creation of Assembly
Instructions by Using Retrieval Augmented Generation, vol. 160. New York,
NY: AHFE, 2025. doi: 10.54941/ahfe1005883.'
mla: 'Herbort, Robin, et al. “Automatic Creation of Assembly Instructions by Using
Retrieval Augmented Generation.” Intelligent Human Systems Integration (IHSI
2025): Integrating People and Intelligent Systems, edited by Tareq Ahram et
al., vol. 160, AHFE, 2025, https://doi.org/10.54941/ahfe1005883.'
short: R. Herbort, D. Green, S. Hinrichsen, Automatic Creation of Assembly Instructions
by Using Retrieval Augmented Generation, AHFE, New York, NY, 2025.
ufg: 'Herbort, Robin/Green, Dominik/Hinrichsen, Sven: Automatic Creation
of Assembly Instructions by Using Retrieval Augmented Generation, Bd. 160, hg.
von Ahram, Tareq u. a., New York, NY 2025 (AHFE International).'
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).'
conference:
end_date: 2025-02-26
location: Rome
name: Intelligent Human Systems Integration (IHSI)
start_date: 2025-02-24
date_created: 2025-11-10T15:56:46Z
date_updated: 2025-11-24T08:28:55Z
department:
- _id: DEP7020
- _id: DEP1305
doi: 10.54941/ahfe1005883
editor:
- first_name: Tareq
full_name: Ahram, Tareq
last_name: Ahram
- first_name: Waldemar
full_name: Karwowski, Waldemar
last_name: Karwowski
- first_name: Carlo
full_name: Martino, Carlo
last_name: Martino
- first_name: Giuseppe
full_name: Di Bucchianico, Giuseppe
last_name: Di Bucchianico
- first_name: Vincenzo
full_name: Maselli, Vincenzo
last_name: Maselli
intvolume: ' 160'
keyword:
- Retrieval Augmented Generation
- Large Language Model
- Assembly Instructions
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://doi.org/10.54941/ahfe1005883
oa: '1'
place: New York, NY
publication: 'Intelligent Human Systems Integration (IHSI 2025): Integrating People
and Intelligent Systems'
publication_identifier:
isbn:
- 978-1-964867-36-6
issn:
- 2771-0718
publication_status: published
publisher: AHFE
quality_controlled: '1'
series_title: AHFE International
status: public
title: Automatic Creation of Assembly Instructions by Using Retrieval Augmented Generation
type: conference_editor_article
user_id: '83781'
volume: 160
year: '2025'
...
---
_id: '13293'
abstract:
- lang: eng
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.
author:
- first_name: Sven
full_name: Hinrichsen, Sven
id: '49010'
last_name: Hinrichsen
- first_name: Robin
full_name: Herbort, Robin
id: '70575'
last_name: Herbort
- first_name: Dominik
full_name: Green, Dominik
id: '85489'
last_name: Green
- first_name: Benjamin
full_name: Adrian, Benjamin
id: '42266'
last_name: Adrian
citation:
ama: Hinrichsen S, Herbort R, Green D, Adrian B. How to Design an Operation-Specific
LLM-Based Information System. Vol 197. (Ahram T, Motschnig R, eds.). AHFE;
2025. doi:10.54941/ahfe1006709
apa: Hinrichsen, S., Herbort, R., Green, D., & Adrian, B. (2025). How to Design
an Operation-Specific LLM-Based Information System. In T. Ahram & R. Motschnig
(Eds.), Human Interaction and Emerging Technologies (IHIET 2025) (Vol.
197). AHFE. https://doi.org/10.54941/ahfe1006709
bjps: 'Hinrichsen S et al. (2025) How to Design an Operation-Specific
LLM-Based Information System, Ahram T and Motschnig R (eds). New York, NY:
AHFE.'
chicago: 'Hinrichsen, Sven, Robin Herbort, Dominik Green, and Benjamin Adrian. How
to Design an Operation-Specific LLM-Based Information System. Edited by Tareq
Ahram and Renate Motschnig. Human Interaction and Emerging Technologies (IHIET
2025). Vol. 197. AHFE International. New York, NY: AHFE, 2025. https://doi.org/10.54941/ahfe1006709.'
chicago-de: 'Hinrichsen, Sven, Robin Herbort, Dominik Green und Benjamin Adrian.
2025. How to Design an Operation-Specific LLM-Based Information System.
Hg. von Tareq Ahram und Renate Motschnig. Human Interaction and Emerging Technologies
(IHIET 2025). Bd. 197. AHFE International. New York, NY: AHFE. doi:10.54941/ahfe1006709,
.'
din1505-2-1: 'Hinrichsen, Sven ; Herbort, Robin ; Green,
Dominik ; Adrian, Benjamin
; Ahram, T. ; Motschnig,
R. (Hrsg.): How to Design an Operation-Specific LLM-Based Information
System, AHFE International. Bd. 197. New York, NY : AHFE, 2025'
havard: S. Hinrichsen, R. Herbort, D. Green, B. Adrian, How to Design an Operation-Specific
LLM-Based Information System, AHFE, New York, NY, 2025.
ieee: 'S. Hinrichsen, R. Herbort, D. Green, and B. Adrian, How to Design an Operation-Specific
LLM-Based Information System, vol. 197. New York, NY: AHFE, 2025. doi: 10.54941/ahfe1006709.'
mla: Hinrichsen, Sven, et al. “How to Design an Operation-Specific LLM-Based Information
System.” Human Interaction and Emerging Technologies (IHIET 2025), edited
by Tareq Ahram and Renate Motschnig, vol. 197, AHFE, 2025, https://doi.org/10.54941/ahfe1006709.
short: S. Hinrichsen, R. Herbort, D. Green, B. Adrian, How to Design an Operation-Specific
LLM-Based Information System, AHFE, New York, NY, 2025.
ufg: 'Hinrichsen, Sven u. a.: How to Design an Operation-Specific LLM-Based
Information System, Bd. 197, hg. von Ahram, Tareq/Motschnig, Renate, New York,
NY 2025 (AHFE International).'
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).'
conference:
end_date: 2025-08-27
location: Vienna
name: Human Interaction and Emerging Technologies (IHIET 2025)
start_date: 2025-08-25
date_created: 2025-11-10T16:18:06Z
date_updated: 2025-11-24T08:29:46Z
department:
- _id: DEP7020
- _id: DEP1305
doi: 10.54941/ahfe1006709
editor:
- first_name: Tareq
full_name: Ahram, Tareq
last_name: Ahram
- first_name: 'Renate '
full_name: 'Motschnig, Renate '
last_name: Motschnig
intvolume: ' 197'
keyword:
- Large language model
- Information system
- Retrieval augmented generation
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://doi.org/10.54941/ahfe1006709
oa: '1'
place: New York, NY
publication: Human Interaction and Emerging Technologies (IHIET 2025)
publication_identifier:
isbn:
- 978-1-964867-73-1
issn:
- 2771-0718
publication_status: published
publisher: AHFE
quality_controlled: '1'
series_title: AHFE International
status: public
title: How to Design an Operation-Specific LLM-Based Information System
type: conference_editor_article
user_id: '83781'
volume: 197
year: '2025'
...
---
_id: '8384'
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."
author:
- first_name: D.
full_name: Göllner, D.
last_name: Göllner
- first_name: Thomas
full_name: Pawlik, Thomas
id: '58915'
last_name: Pawlik
- first_name: Thomas
full_name: Schulte, Thomas
id: '46242'
last_name: Schulte
citation:
ama: 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, eds.). IEEE; 2021:808-812.
doi:10.1109/IEEM50564.2021.9673089
apa: Göllner, D., Pawlik, T., & Schulte, T. (2021). Utilization of the Asset
Administration Shell for the Generation of Dynamic Simulation Models. In IEEE
Singapore Section, IEEE TEMS Singapore Chapter, & IEEE TEMS Hong Kong Chapter
(Eds.), 2021 IEEE International Conference on Industrial Engineering and Engineering
Management (IEEM) (pp. 808–812). IEEE. https://doi.org/10.1109/IEEM50564.2021.9673089
bjps: 'Göllner D, Pawlik T and Schulte T (2021) Utilization of the Asset
Administration Shell for the Generation of Dynamic Simulation Models, IEEE
Singapore Section, IEEE TEMS Singapore Chapter, and IEEE TEMS Hong Kong Chapter
(eds). [Piscataway, NJ]: IEEE.'
chicago: 'Göllner, D., Thomas Pawlik, and Thomas Schulte. Utilization of the
Asset Administration Shell for the Generation of Dynamic Simulation Models.
Edited by IEEE Singapore Section, IEEE TEMS Singapore Chapter, and IEEE TEMS Hong
Kong Chapter. 2021 IEEE International Conference on Industrial Engineering
and Engineering Management (IEEM). IEEE International Conference on Industrial
Engineering and Engineering Management . [Piscataway, NJ]: IEEE, 2021. https://doi.org/10.1109/IEEM50564.2021.9673089.'
chicago-de: 'Göllner, D., Thomas Pawlik und Thomas Schulte. 2021. Utilization
of the Asset Administration Shell for the Generation of Dynamic Simulation Models.
Hg. von IEEE Singapore Section, IEEE TEMS Singapore Chapter, und IEEE TEMS Hong
Kong Chapter. 2021 IEEE International Conference on Industrial Engineering
and Engineering Management (IEEM). IEEE International Conference on Industrial
Engineering and Engineering Management . [Piscataway, NJ]: IEEE. doi:10.1109/IEEM50564.2021.9673089,
.'
din1505-2-1: 'Göllner, D. ; Pawlik, Thomas ; Schulte,
Thomas ; IEEE Singapore Section
; IEEE TEMS Singapore Chapter, ;
IEEE TEMS Hong Kong Chapter (Hrsg.):
Utilization of the Asset Administration Shell for the Generation of Dynamic
Simulation Models, IEEE International Conference on Industrial Engineering
and Engineering Management . [Piscataway, NJ] : IEEE, 2021'
havard: D. Göllner, T. Pawlik, T. Schulte, Utilization of the Asset Administration
Shell for the Generation of Dynamic Simulation Models, IEEE, [Piscataway, NJ],
2021.
ieee: 'D. Göllner, T. Pawlik, and T. Schulte, Utilization of the Asset Administration
Shell for the Generation of Dynamic Simulation Models. [Piscataway, NJ]: IEEE,
2021, pp. 808–812. doi: 10.1109/IEEM50564.2021.9673089.'
mla: Göllner, D., et al. “Utilization of the Asset Administration Shell for the
Generation of Dynamic Simulation Models.” 2021 IEEE International Conference
on Industrial Engineering and Engineering Management (IEEM), edited by IEEE
Singapore Section et al., IEEE, 2021, pp. 808–12, https://doi.org/10.1109/IEEM50564.2021.9673089.
short: D. Göllner, T. Pawlik, T. Schulte, Utilization of the Asset Administration
Shell for the Generation of Dynamic Simulation Models, IEEE, [Piscataway, NJ],
2021.
ufg: 'Göllner, D./Pawlik, Thomas/Schulte, Thomas: 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 ).'
conference:
end_date: 2021-12-16
location: Online (Singapore)
name: 2021 IEEE International Conference on Industrial Engineering and Engineering
Management (IEEM)
start_date: 2021-12-13
corporate_editor:
- IEEE Singapore Section
- IEEE TEMS Singapore Chapter,
- IEEE TEMS Hong Kong Chapter
date_created: 2022-06-22T14:14:28Z
date_updated: 2025-06-26T13:38:36Z
department:
- _id: DEP6020
- _id: DEP5022
doi: 10.1109/IEEM50564.2021.9673089
keyword:
- Digital Twin
- Asset Administration Shell
- Dynamic Simulation Model
- Industry 4.0
- Automated Model Generation
language:
- iso: eng
page: 808-812
place: '[Piscataway, NJ]'
publication: 2021 IEEE International Conference on Industrial Engineering and Engineering
Management (IEEM)
publication_identifier:
eisbn:
- 978-1-6654-3771-4
isbn:
- '978-1-6654-3772-1 '
issn:
- 2157-3611
publication_status: published
publisher: IEEE
series_title: 'IEEE International Conference on Industrial Engineering and Engineering
Management '
status: public
title: Utilization of the Asset Administration Shell for the Generation of Dynamic
Simulation Models
type: conference_editor_article
user_id: '83781'
year: '2021'
...
---
_id: '4094'
abstract:
- lang: eng
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.
author:
- first_name: Sebastian
full_name: Büttner, Sebastian
id: '61868'
last_name: Büttner
- first_name: Andreas
full_name: Peda, Andreas
id: '51144'
last_name: Peda
- first_name: Mario
full_name: Heinz, Mario
id: '68913'
last_name: Heinz
- first_name: Carsten
full_name: Röcker, Carsten
id: '61525'
last_name: Röcker
citation:
ama: '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. Vol 12203. Lecture Notes in Computer Science.
Springer; 2020:153-163. doi:https://doi.org/10.1007/978-3-030-50344-4_12'
apa: Büttner, S., Peda, A., Heinz, M., & Röcker, C. (2020). Teaching by Demonstrating
– How Smart Assistive Systems Can Learn from Users. 22nd International Conference
on Human-Computer Interaction, 12203, 153–163. https://doi.org/10.1007/978-3-030-50344-4_12
bjps: 'Büttner S et al. (2020) Teaching by Demonstrating – How Smart
Assistive Systems Can Learn from Users. 22nd International Conference on Human-Computer
Interaction, vol. 12203. Berlin: Springer, pp. 153–163.'
chicago: 'Büttner, Sebastian, Andreas Peda, Mario Heinz, and Carsten Röcker. “Teaching
by Demonstrating – How Smart Assistive Systems Can Learn from Users.” In 22nd
International Conference on Human-Computer Interaction, 12203:153–63. Lecture
Notes in Computer Science. Berlin: Springer, 2020. https://doi.org/10.1007/978-3-030-50344-4_12.'
chicago-de: 'Büttner, Sebastian, Andreas Peda, Mario Heinz und Carsten Röcker. 2020.
Teaching by Demonstrating – How Smart Assistive Systems Can Learn from Users.
In: 22nd International Conference on Human-Computer Interaction, 12203:153–163.
Lecture Notes in Computer Science. Berlin: Springer. doi:https://doi.org/10.1007/978-3-030-50344-4_12,
.'
din1505-2-1: 'Büttner, Sebastian ;
Peda, Andreas ; Heinz,
Mario ; Röcker, Carsten:
Teaching by Demonstrating – How Smart Assistive Systems Can Learn from Users.
In: 22nd International Conference on Human-Computer Interaction, Lecture
Notes in Computer Science. Bd. 12203. Berlin : Springer, 2020, S. 153–163'
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.'
ieee: 'S. Büttner, A. Peda, M. Heinz, and C. Röcker, “Teaching by Demonstrating
– How Smart Assistive Systems Can Learn from Users,” in 22nd International
Conference on Human-Computer Interaction, Copenhagen, Denmark, 2020, vol.
12203, pp. 153–163. doi: https://doi.org/10.1007/978-3-030-50344-4_12.'
mla: Büttner, Sebastian, et al. “Teaching by Demonstrating – How Smart Assistive
Systems Can Learn from Users.” 22nd International Conference on Human-Computer
Interaction, vol. 12203, Springer, 2020, pp. 153–63, https://doi.org/10.1007/978-3-030-50344-4_12.
short: 'S. Büttner, A. Peda, M. Heinz, C. Röcker, in: 22nd International Conference
on Human-Computer Interaction, Springer, Berlin, 2020, pp. 153–163.'
ufg: 'Büttner, Sebastian u. a.: 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).'
conference:
end_date: 2020-07-24
location: Copenhagen, Denmark
name: 22nd International Conference on Human-Computer Interaction
start_date: 2020-07-19
date_created: 2020-11-26T14:10:00Z
date_updated: 2025-06-26T08:59:53Z
department:
- _id: DEP5023
doi: https://doi.org/10.1007/978-3-030-50344-4_12
intvolume: ' 12203'
keyword:
- Assitive system
- Authoring
- Instruction generation
- Computer vision
- Teaching by demonstration
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://link.springer.com/chapter/10.1007/978-3-030-50344-4_12
oa: '1'
page: 153-163
place: Berlin
publication: 22nd International Conference on Human-Computer Interaction
publication_identifier:
eisbn:
- 978-3-030-50344-4
isbn:
- 978-3-030-50343-7
publication_status: published
publisher: Springer
series_title: Lecture Notes in Computer Science
status: public
title: Teaching by Demonstrating – How Smart Assistive Systems Can Learn from Users
type: conference
user_id: '83781'
volume: 12203
year: '2020'
...
---
_id: '11444'
abstract:
- lang: eng
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?"
author:
- first_name: Lisa
full_name: Pusch, Lisa
id: '85026'
last_name: Pusch
orcid: https://orcid.org/0000-0002-9756-9548
citation:
ama: 'Pusch L. On Memory: Body, Devices, Material. Towards a New Practice of
MediaArchitecture. ProQuest'
apa: 'Pusch, L. (n.d.). On memory: Body, devices, material. Towards a new practice
of MediaArchitecture. ProQuest.'
bjps: 'Pusch L (n.d.) On Memory: Body, Devices, Material. Towards a New
Practice of MediaArchitecture. Buffalo: ProQuest.'
chicago: 'Pusch, Lisa. On Memory: Body, Devices, Material. Towards a New Practice
of MediaArchitecture. Buffalo: ProQuest, n.d.'
chicago-de: 'Pusch, Lisa. On memory: Body, devices, material. Towards a new practice
of MediaArchitecture. Buffalo: ProQuest.'
din1505-2-1: 'Pusch, Lisa: On memory:
Body, devices, material. Towards a new practice of MediaArchitecture. Buffalo :
ProQuest'
havard: 'L. Pusch, On memory: Body, devices, material. Towards a new practice of
MediaArchitecture, ProQuest, Buffalo, n.d.'
ieee: 'L. Pusch, On memory: Body, devices, material. Towards a new practice of
MediaArchitecture. Buffalo: ProQuest.'
mla: 'Pusch, Lisa. On Memory: Body, Devices, Material. Towards a New Practice
of MediaArchitecture. ProQuest.'
short: 'L. Pusch, On Memory: Body, Devices, Material. Towards a New Practice of
MediaArchitecture, ProQuest, Buffalo, n.d.'
ufg: 'Pusch, Lisa: On memory: Body, devices, material. Towards a new practice
of MediaArchitecture, Buffalo o. J.'
van: 'Pusch L. On memory: Body, devices, material. Towards a new practice of MediaArchitecture.
Buffalo: ProQuest; 264 p.'
date_created: 2024-05-08T07:53:59Z
date_updated: 2024-05-13T09:10:30Z
department:
- _id: DEP1000
extern: '1'
keyword:
- Memory Making
- Generation Y
- Millenials
- Human-Computer-Relationship
- Mobile Phone
- Spatial Theory
- Perception
language:
- iso: eng
page: '264'
place: Buffalo
publication_status: accepted
publisher: ProQuest
status: public
supervisor:
- first_name: Michael
full_name: Markert, Michael
last_name: Markert
- first_name: Jordan
full_name: Geiger, Jordan
last_name: Geiger
title: 'On memory: Body, devices, material. Towards a new practice of MediaArchitecture'
type: master_thesis
user_id: '83781'
year: '2017'
...