Research Topics
The core research question of Productive Teaming is to explore whether intelligent systems can be cognitively extended to utilize the capabilities of their human partners and dynamically anticipate their needs during problem-solving processes. By studying overarching themes, we aim to gain a deeper understanding of human and artificial agent collaboration, paving the way for more efficient and successful production systems in the future.
Contact Person(s): Leonardo Puricelli
Human-Machine Interaction stuies the development of interfaces and interactions between humans and machines. Hereby, it focuses on creating seamless and intuitive communication channels, allowing for a seemless communication. The goal is to bridge the gap between human capabilities and machine functionalities, making technology more accessible, user-friendly, and efficient. Advancements in artificial intelligence, natural language processing, gesture recognition, and other technologies continue to drive innovations in HMI, leading to more sophisticated and personalized interactions with machines in various domains, including smart devices, robotics, virtual reality, and more.
Contact Person(s): Leonardo Puricelli
To this day, a great variety of psychological theories of reasoning coexist aimed at explaining the underlying cognitive mechanism. There is a lack of research on comparing and evaluating these theories under the consideration of moderating and mediating factors in a unified framework. Our research aims to solve this issue, by assessing various, assumed influential factors (e.g., personality traits, reasoning and cognitive abilities, socio-economic status, and development over short time) in human reasoning task.
Contact Person(s): Sara Todorovikj, Daniel Brand, Jenny Rettstatt & Esther Preuschhof
The basic human need for control is also reflected in human-machine interaction. The sense of agency, the perception of one’s own control, is central to how users experience the interaction with technologies. Especially in the fields of assistance and automation technologies, sense of agency becomes highly relevant for safety, acceptance, user experience and user behavior.
The research at the professorship primarily aims to develop a fundamental understanding of sense of agency within human-technology interaction driven by the question of how we can preserve and promote the sense of agency in interactions with new technologies as part of a human-centred design.
In many organizations the amount of stored data and knowledge structures have grown impressively in the last decades. Yet, typically, no knowledge reduction takes place. As a result, it requires more and more time to sort out information that is outdated, irrelevant, or rarely used. Especially for large amounts of data and complex knowledge structures this process results in a complex challenge. To cope with the great amount of stored information, intentional forgetting of irrelevant, redundant or contradicting information may be helpful. Interestingly, forgetting is already widely recognized as an important human memory process. It is our aim to transfer such processes back to the organizational context.
The project is part of the Schwerpunktprogramm "Intentional Forgetting in Organisations" ( SPP 1921), namely ‘FADE’ ( to the project), funded by the Deutsche Forschungsgemeinschaft (DFG).
Contact Person(s): Daniel Brand
In everyday life, we are confronted with a variety of problems, from simple ones, such as planning our next meal, to more complex ones, such as organizing an event. As people become more interconnected, the number of relevant and unknown variables increases. This makes it more difficult to solve the corresponding problems. Problems with such a high interconnectedness, number of variables and intransparency, are called complex problems. Due to the practical relevance of the topic, we deal with the understanding and identification of the characteristics that enable a successful solution to such problems. A special focus lies on the identification of individual influencing factors on the one hand and on relevant features in solving complex problems in different teaming constellations on the other hand.
Contact Person(s): Sara Todorovikj, Daniel Brand
