Look: AI at Work! - Analysing Key Aspects of AI-support at the Work Place.
Schiffer, S.; Rothermel, A. M.; Ferrein, A.; and Rosenthal-von der Pütten, A.
In Yamshchikov, I.; Meißner, P.; and Rezagholi, S., editor(s),
Workshop on Human-Machine Interaction (HuMaIn) held at KI 2024, 2024.
to appear
link
bibtex
abstract
@InProceedings{ Schiffer-etAl_KI2024HuMaIn_Look-AI-at-Work,
author = {Stefan Schiffer and Anna Milena Rothermel and Alexander Ferrein and Astrid {Rosenthal-von der P{\"u}tten}},
title = {Look: AI at Work! - Analysing Key Aspects of AI-support at the Work Place},
booktitle = {Workshop on Human-Machine Interaction (HuMaIn) held at KI 2024},
location = {W{\"u}rzburg, Germany},
OPTpages = {--},
year = {2024},
editor = {Ivan Yamshchikov and Pascal Mei{\ss}ner and Sharwin Rezagholi},
keywords = {WIRKsam, artificial intelligence, AI, Work, Social Psychology},
abstract = {In this paper we present an analysis of
technological and psychological factors of applying
artificial intelligence (AI) at the work place. We
do so for a number of twelve application cases in
the context of a project where AI is integrated at
work places and in work systems of the future. From
a technological point of view we mainly look at the
areas of AI that the applications are concerned
with. This allows to formulate recommendations in
terms of what to look at in developing an AI
application and what to pay attention to with
regards to building AI literacy with different
stakeholders using the system. This includes the
importance of high-quality data for training
learning-based systems as well as the integration of
human expertise, especially with knowledge- based
systems. In terms of the psychological factors we
derive research questions to investigate in the
development of AI supported work systems and to
consider in future work, mainly concerned with
topics such as acceptance, openness, and trust in an
AI system.},
note = {to appear},
}
In this paper we present an analysis of technological and psychological factors of applying artificial intelligence (AI) at the work place. We do so for a number of twelve application cases in the context of a project where AI is integrated at work places and in work systems of the future. From a technological point of view we mainly look at the areas of AI that the applications are concerned with. This allows to formulate recommendations in terms of what to look at in developing an AI application and what to pay attention to with regards to building AI literacy with different stakeholders using the system. This includes the importance of high-quality data for training learning-based systems as well as the integration of human expertise, especially with knowledge- based systems. In terms of the psychological factors we derive research questions to investigate in the development of AI supported work systems and to consider in future work, mainly concerned with topics such as acceptance, openness, and trust in an AI system.
Conceptualization of Demonstrators for Human-Technology Interaction with a Three-Layer Model.
Altepost, A.; Elaroussi, F.; Hirsch, L.; Merx, W.; Oppermann, L.; Rosenthal-von der Pütten, A.; Rothermel, A. M.; and Schiffer, S.
In
Proceedings of the 22nd Triennial Congress of the International Ergonomics Association (IEA 2024), of
Springer Series in Design and Innovation, 2024. Springer Cham
to appear
link
bibtex
abstract
@inproceedings{Altepost-etAl_IEA2024_Conceptualization-of-Demonstrators,
author = {Andrea Altepost and Farah Elaroussi and Linda Hirsch and Wolfgang Merx and Leif Oppermann and Astrid {Rosenthal-von der P{\"u}tten} and Anna Milena Rothermel and Stefan Schiffer},
title = {Conceptualization of Demonstrators for Human-Technology Interaction with a Three-Layer Model},
booktitle = {Proceedings of the 22nd Triennial Congress of the International Ergonomics Association (IEA 2024)},
OPTpages = {},
series = {Springer Series in Design and Innovation},
publisher = {Springer Cham},
OPTaddress = {},
year = 2024,
keywords = {WIRKsam, Stakeholder Involvement, Demonstrators, Human-Technology Interaction, Artificial Intelligence, AI},
abstract = {We present a three-layer model of stakeholder
involvement, developed as part of the ongoing
WIRKsam project. WIRKsam creates or modifies
socio-technical work systems by integrating
artificial intelligence (AI) in a participatory
fashion and in such a way that all stakeholders
benefit from better conditions of labor. While the
technological elements of these changes are easy to
highlight to others, it is difficult to convey the
human-related and organizational changes and their
benefits. Therefore, we aim to develop demonstrators
in the field of human factors which should showcase
the transformation of work and not just technology,
using extended reality (XR) in a transdisciplinary
setting.},
note = {to appear},
}
We present a three-layer model of stakeholder involvement, developed as part of the ongoing WIRKsam project. WIRKsam creates or modifies socio-technical work systems by integrating artificial intelligence (AI) in a participatory fashion and in such a way that all stakeholders benefit from better conditions of labor. While the technological elements of these changes are easy to highlight to others, it is difficult to convey the human-related and organizational changes and their benefits. Therefore, we aim to develop demonstrators in the field of human factors which should showcase the transformation of work and not just technology, using extended reality (XR) in a transdisciplinary setting.
Approach for the Identification of Requirements on the Design of AI-supported Work Systems (in Problem-based Projects).
Harlacher, M.; Altepost, A.; Ferrein, A.; Hansen-Ampah, A.; Merx, W.; Niehues, S.; Schiffer, S.; and Shahinfar, F. N.
In Lausberg, I.; and Vogelsang, M., editor(s),
AI in Business and Economics, 7, pages 87–100. De Gruyter, Berlin, Boston, 2024.
![Approach for the Identification of Requirements on the Design of AI-supported Work Systems (in Problem-based Projects) [link]](//bibbase.org/img/filetypes/link.svg "doi")
doi
pdf
doi
link
bibtex
abstract
@incollection{ Harlacher-etAl_EPAI2023_Identification-of-Requirements,
chapter = {7},
title = {Approach for the Identification of Requirements on the Design of AI-supported Work Systems (in Problem-based Projects)},
author = {Markus Harlacher and Andrea Altepost and Alexander Ferrein and Adjan Hansen-Ampah and Wolfgang Merx and Sina Niehues and Stefan Schiffer and Fatemeh Nasim Shahinfar},
booktitle = {AI in Business and Economics},
editor = {Isabel Lausberg and Michael Vogelsang},
publisher = {De Gruyter},
address = {Berlin, Boston},
pages = {87--100},
doi = {10.1515/9783110790320-007},
url_doi = {https://doi.org/10.1515/9783110790320-007},
url_pdf = {https://www.degruyter.com/document/doi/10.1515/9783110790320-007/pdf?licenseType=open-access},
isbn = {9783110790320},
year = {2024},
keywords = {WIRKsam, business understanding, requirements, process model, participation, implementation of AI-systems, Artificial Intelligence, AI},
abstract = {To successfully develop and introduce concrete
artificial intelligence (AI) solutions in
operational practice, a comprehensive process model
is being tested in the WIRKsam joint project. It is
based on a methodical approach that integrates
human, technical and organisational aspects and
involves employees in the process. The chapter
focuses on the procedure for identifying
requirements for a work system that is implementing
AI in problem-driven projects and for selecting
appropriate AI methods. This means that the use case
has already been narrowed down at the beginning of
the project and must be completely defined in the
following. Initially, the existing preliminary work
is presented. Based on this, an overview of all
procedural steps and methods is given. All methods
are presented in detail and good practice approaches
are shown. Finally, a reflection of the developed
procedure based on the application in nine companies
is given.},
}
To successfully develop and introduce concrete artificial intelligence (AI) solutions in operational practice, a comprehensive process model is being tested in the WIRKsam joint project. It is based on a methodical approach that integrates human, technical and organisational aspects and involves employees in the process. The chapter focuses on the procedure for identifying requirements for a work system that is implementing AI in problem-driven projects and for selecting appropriate AI methods. This means that the use case has already been narrowed down at the beginning of the project and must be completely defined in the following. Initially, the existing preliminary work is presented. Based on this, an overview of all procedural steps and methods is given. All methods are presented in detail and good practice approaches are shown. Finally, a reflection of the developed procedure based on the application in nine companies is given.
![Demonstrativ-aktiv-iterativ: Arbeitssysteme mit Künstlicher Intelligenz an Demonstratoren im Reallabor vermitteln, erproben und weiterentwickeln [link]](http://bibbase.org/img/filetypes/link.svg "rwth")
rwth
link
bibtex
abstract
![Kompetenzzentrum WIRKsam - Wirtschaftlicher Wandel in der rheinischen Textil- und Kohleregion mit Künstlicher Intelligenz gemeinsam gestalten [pdf]](http://bibbase.org/img/filetypes/pdf.svg "pdf ifaa")