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Kognitive Assistenzsysteme im Projektmanagement

Henne, Sophie ; Schacht, Sigurd (2023)

Knowledge Science - Fallstudien: Wie mit Künstlicher Intelligenz die Wissenssicherung und -nutzung im Unternehmen unterstützt wird, Springer Vieweg, Wiesbaden, 177-191.
DOI: 10.1007/978-3-658-41155-8_8


Peer Reviewed
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Lernen wie ein Mensch: Konzept eines Assistenten mit Wissenserwerb durch Beobachtung, Instruktion und Interaktion

Dreßler, Daniel; Schacht, Sigurd; Lanquillon, Carsten (2023)

Knowledge Science – Fallstudien: Wie mit Künstlicher Intelligenz die Wissenssicherung und -nutzung im Unternehmen unterstützt wird, 69-107.
DOI: 10.1007/978-3-658-41155-8_5


Peer Reviewed
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Smart Expert Debriefing

Müller, Michael; Link, Jann (2023)

Knowledge Science – Fallstudien. Springer Vieweg, Wiesbaden, 109-147.
DOI: 10.1007/978-3-658-41155-8_6


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On the Fallacy of Misplaced Concreteness in Musical Interface Design

Pöpel, Cornelius (2023)

Vortrag auf der 13th International Whitehead Conference, München, 28.07.2023 2023.


Peer Reviewed
 

Research in musical interaction has been widely addressed in recent years. The term “musical expression” plays a key role in this field of research as the name of the biggest scientific conference in musical interaction “New Interfaces for Musical Expression” (nime.org) already shows. While in music and musicology the assumption is often found that mind and body act co-presently in musical performance, the research scene of music interaction essentially finds approaches that leave the mind more or less aside when models of interaction are developed, although the term "musical expression" can very well be assigned to the mind. While a huge number of musical interface development research projects have been done worldwide (Fasciani & Goode, 2021), research outcome of this scene had nearly no impact on the products musicians nowadays buy and use in their daily musical practice (Poepel & Juergens, 2022). The question arises which could be the reasons for such fruitlessness.

This paper presents an analysis of common music interaction research strategies and their assumed foundations. It shows requirements commonly found in the development of musical interfaces. It further presents understandings of music given by well-known musicians and draws conclusions which requirements for musical interaction come up facing these understandings of music and music making. The differences in the requirements of both sources are contrasted. With respect to the Whiteheadian fallacy of misplaced concreteness, these differences are analyzed. In addition, the possible meaning of the Whiteheadian findings for the general research field of musical interaction is discussed.

While the research outcome of musical interface design for the music technology market was rather small, simple music interfaces like MIDI keyboards and further digital sound generators connected to them as well as digital audio workstations are very commonly used in daily musical creative practice. The theories and models implemented in such devices could be classified as related examples of misplaced concreteness according to Whitehead. Nevertheless, these devices are used by many musicians. But the way of making music and the music itself, which is then created, is changing. This is shown by concrete little examples of making music and it is further discussed in a speculative manner.

With respect to the Whitehedian fallacy of misplaced concreteness and its possible meaning for musical interaction design, conclusions for the general area of human-computer interaction are drawn.


References:

Fasciani, S; Goode, J. (2021). 20 NIMEs: Twenty Years of New Interfaces for Musical Expression. In Proceedings of the International Conference on New Interfaces for Musical Expression (NIME 2021), Singapore.

Poepel, C.; Juergens, E. (2022). On Overcoming the Gap between Industry and Academic Research in the Field of Music Technology, Proceedings of the 4th International Conference Business Meets Technology, Ansbach.



Hinweisgeberschutzgesetz: Interne Meldestellenbeauftragte

Fehr, Stefanie; Refenius, Kevin (2023)

Compliance Berater (8), 289-294.



Giving Something Back-When Do Entrepreneurs Contribute to their Entrepreneurial Ecosystem?

Hähnlein, Johannes; Durst, Carolin; Baum, Matthias (2023)

Academy of Management Proceedings 2023.
DOI: 10.5465/AMPROC.2023.17212abstract


Peer Reviewed
 

Current research on entrepreneurial ecosystems focuses on conceptual frameworks as well as the characteristics of individual elements and actors. Yet, ecosystems require the contributions of different actors (such as successful entrepreneurs) to become self-sustaining. This study sheds light on the questions of how and why entrepreneurs contribute to the development and reproduction of their entrepreneurial ecosystem. Applying a qualitative, inductive approach, a data sample of 32 semi-structured interviews with startup entrepreneurs from Germany was examined. The analysis reveals, that, amongst the personal traits of entrepreneurial passion and altruism, a perceived affiliation, reciprocity with and gratitude to the entrepreneurial ecosystem and its actors, influenced by antecedent experiences and relationships, are the core predictors for contribution activities such as mentoring, peering, or passing on experiences. These empirical insights are synthesized in a dynamic model, which adds further theoretical grounding to research on causal mechanisms and microfoundations in entrepreneurial ecosystems.

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Warten auf den großen Kick - Frauenfußball in Deutschland

Wiske, Jana (2023)

Tagesschau/Tagesthemen.



Der weite Weg zur Gleichbehandlung im Fußball

Wiske, Jana (2023)

Tagesthemen.



Towards AI-based intercultural trainings using Social Robots: derivation of design criteria for effective intercultural human-robot interactions

Garg, Ritam; Piazza, Alexander (2023)

Proceedings - 5th International Conference Business Meets Technology, 155-162.


Open Access Peer Reviewed
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Platform Engineering for cloud-native organizations

Söldner, Jens-Hendrik (2023)

Proceedings - 5th International Conference Business Meets Technology 2023, 77-82.
DOI: 10.4995/BMT2023.2023.16741


Open Access Peer Reviewed
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A bibliometric analysis on reciprocal human-machine-interactions

Erdmann, Matthias; Perello-Marin, M. Rosario; Suárez Ruz, Maria Esperanza ...

Proceedings - 5th International Conference Business Meets Technology 2023, 163-176.
DOI: 10.4995/BMT2023.2023.16728


Open Access Peer Reviewed
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The Race for China Expertise

Gebhard, Christian Alexander (2023)

Proceedings - 5th International Conference Business Meets Technology 2023, 205-215.
DOI: 10.4995/BMT2023.2023.16734


Open Access Peer Reviewed
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Generative Agents to Support Students Learning Progress

Schacht, Sigurd; Kamath Barkur, Sudarshan ; Lanquillon, Carsten (2023)

Proceedings - 5th International Conference Business Meets Technology 2023, 179-197.
DOI: 10.4995/BMT2023.2023.16750


Open Access Peer Reviewed
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Virtual Nitrogen Oxide Sensor for Improved Emission Control in Natural Gas/Hydrogen Cogeneration Power Plants

Fichtner, Johannes; Gegner, Adrian; Ninow, Jan; Kapischke, Jörg (2023)

5th International Conference Business Meets Technology, Valencia 2023.
DOI: 10.4995/BMT2023.2023.16705


Open Access Peer Reviewed
 

This study demonstrates the need for novel gas engine control systems for com-
bined heat and power plants, also known as cogeneration power plants, connected to natural
gas grids. Hydrogen addition to natural gas grids in a range of up to 5% by volume is already
permitted throughout Europe. This offers the possibility to reduce carbon dioxide emissions
of end consumers connected to public natural gas grids and contributes to climate protec-
tion. However, conventional engine controls are not designed for natural gas/hydrogen mixture
operation. We tested fuels with up to 30% hydrogen by volume using a commercial six-cylinder
spark ignition engine, designed for natural gas or biogas operation in power plants. With engine
settings according to usual cogeneration operation, nitrogen oxide emissions increased expo-
nentially with increasing hydrogen amounts. We demonstrate that the usual approach of using
the lower heating value of the fuel mixture to regulate the engine is unable to accommodate the
hydrogen induced changes. For this reason, we developed a mathematical model to determine
the nitrogen oxide emissions based on boost pressure and power output. The idea behind this
novel approach is to regulate the engine based on emissions, regardless of the fuel gas. In this
work the approach for this virtual sensor is described and its performance demonstrated.

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Journalismus und PR. Arbeitsweisen, Spannungsfelder, Chancen

Wiske, Jana; Kaiser, Markus (2023)



Intro zu ChatGPT & Co - ein Experiment vom AN[ki]T "AI talks to AI"

Schacht, Sigurd; Piazza, Alexander (2023)

KI-Stammtisch des KI-Hub Bayern am Nürnberg DIGITAL FESTIVAL.



Knowledge-Grounded and Self-Extending NER

Kamath Barkur, Sudarshan ; Schacht, Sigurd; Lanquillon, Carsten (2023)

HCI International 2023 Posters. HCII 2023. Communications in Computer and Information Science 1836, 439–446.
DOI: 10.1007/978-3-031-36004-6_60


Peer Reviewed
 

The wave of digitization has begun. Organizations deal with huge amounts of data, such as logs, websites, and documents. A common way to make the information contained in these sources machine-accessible for automated processing is to first extract the information and then store it in a knowledge graph. A key task in this approach is to recognize entities. While common named entity recognition (NER) models work well for common entity types, they typically fail to recognize custom entities. Custom entity recognition requires data to be manually annotated and custom NER models to be trained. To efficiently extract the information, this paper proposes an innovative solution: Our Gazetteer approach uses a knowledge graph to create a coarse and fast NER component, reducing the need for manual annotation and saving human effort. Focusing on a university use case, our Gazetteer is integrated into a chatbot for entity recognition. In addition, data can be annotated using the Gazetteer and an NER model can be trained. Subsequently, the NER model can be used to recognize unseen custom entities, which are then added to the knowledge graph. This will improve the knowledge graph and make it self-extending.

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PromptIE - Information Extraction with Prompt-Engineering and Large Language Models

Schacht, Sigurd; Kamath Barkur, Sudarshan ; Lanquillon, Carsten (2023)

HCI International 2023 Posters. HCII 2023. Communications in Computer and Information Science 1836, 507–514.
DOI: 10.1007/978-3-031-36004-6_69


Peer Reviewed
 

Extracting triples of subjects, objects, and predicates from text to populate knowledge bases traditionally involves several intermediate steps such as co-reference resolution, named entity recognition, and relationship extraction. Treating triple extraction as translation task from source sentences to sets of triples, we present an end-to-end solution for information extraction that uses task prefixes to prompts a fine-tuned large language model to extract triples from text. Thus, the need for data labeling and training multiple models is reduced.

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The State of Design

Frenkler, Fritz; Herbst-Gäbel, Birgit; Molls, Michael; Stadler, Sebastian...


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Design & Technology

Stadler, Sebastian (2023)

The State of Design. TUM.University Press, München, 2023, 144-149.



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