Look: AI at Work! - Analysing Key Aspects of AI-support at the Work Place. Schiffer, S., Rothermel, A. M., Ferrein, A., & Rosenthal-von der Pütten, A. In Yamshchikov, I., Meißner, P., & Rezagholi, S., editors, Workshop on Human-Machine Interaction (HuMaIn), Würzburg, 2024. im Druck
abstract   bibtex   
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.
@inproceedings{schiffer_look_nodate,
	address = {Würzburg},
	title = {Look: {AI} at {Work}! - {Analysing} {Key} {Aspects} of {AI}-support at the {Work} {Place}},
	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.},
	booktitle = {Workshop on {Human}-{Machine} {Interaction} ({HuMaIn})},
	author = {Schiffer, Stefan and Rothermel, Anna Milena and Ferrein, Alexander and Rosenthal-von der Pütten, Astrid},
	editor = {Yamshchikov, Ivan and Meißner, Pascal and Rezagholi, Sharwin},
	year = {2024},
	note = {im Druck}
}

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