The Impact of Perceived System Characteristics on Acceptance and Usage of AI Systems
Workgroup | Social Processes Lab |
Duration | 11/2020-11/2024 |
Funding | Sondertatbestand Data Science |
Project description
Humans often tend to treat technical systems as social actors and ascribe them human-like characteristics (e.g., when telling a computer to work faster). With the ongoing introduction of Artificial Intelligence (AI), this tendency is likely to increase – as technical systems become more and more capable (e.g., of solving complex problems or adapting to individual users) and are often even explicitly designed to appear human-like.
Up to now, a multitude of research has focused on how the objective technical capabilities of different technologies impact users’ interaction behavior. However, especially users’ subjective perceptions of system characteristics – which can substantially differ from the objective features it provides – are important to understand users’ interaction with AI systems. To address this gap, this project aims to investigate how user’s subjective perceptions of human-like characteristics in AI systems influence the interaction with as well as the acceptance of such technical systems. Doing so, we seek to contribute to a better understanding of how users perceive such systems, as well as to grasp how this influences their subsequent responses.
The project is part of the „Human-Agent Interaction“ Network (MAI Network).
Cooperations
Prof. Dr. Kai Sassenberg, Leibniz-Institut für Psychologie (ZPID)