Human-Agent Interaction Network
The Human-Agent Interaction Network (MAI Network) explores human interaction with artificial intelligence processing natural language. Such agents are already routinely used by many people. Language-based agents such as Siri and Cortana are available in almost every digital device and learning programs provide increasingly complex feedback in natural language. However, scientific knowledge about the interaction between users and voice-based agents is very limited so far. The IWM is well prepared to address this gap due to the IWM’s expertise in research on individual and social processing of knowledge during the use of digital media. Thematically, the acceptance of language agents and the effects of using these agents on human performance are investigated in the MAI Network. The topics of the projects include acceptance and comprehension of AI-generated texts and language, writing support by AI, and communication between humans and AI language agents.
The MAI Network consists of eight interdisciplinary projects carried out in collaboration with researchers from the universities of Tübingen and Stuttgart. All IWM Labs and Junior Research Groups are involved in the projects. Each project has a cooperation partner with expertise in data science and artificial intelligence at one of the universities. The MAI Network is funded from a small strategic special budget on the topic of data science.
Projects
- Automated interaction with consumers
Stefanie Ritz, Sonja Utz (IWM), Dominik Papies (University of Tübingen)
- Artificial Intelligence for science communication: Acceptance and lay people comprehension
Angelica Lermann Henestrosa, Joachim Kimmerle, Ulrike Cress, Markus Huff (IWM), Michael Bosnjak (ZPID)
- Co-creation of short narrative texts with AI – effects on text reception and production
Vivian Gunser, Peter Gerjets (IWM), Sandra Richter (DLA)
- The effects of AI-generated feedback in the context of adaptive learning systems
Katharina Fleig, Katharina Scheiter, Emely Hoch (IWM), Andreas Lachner (University of Tübingen)
- The impact of AI-based language modification on social interaction
Josephine Hagedorn, Kai Sassenberg (IWM), Roman Klinger (University of Stuttgart)
- The impact of perceived system characteristics on acceptance and usage of AI systems
Miriam Gieselmann, Kai Sassenberg (IWM)
- The influence of AI-generated speech characteristics on knowledge acquisition
Oliver Jaggy, Hauke S. Meyerhoff, Stephan Schwan (IWM)
- Utilizing software agents to depolarize attitudes
Fritz Becker, Jürgen Buder, Markus Huff (IWM), Hendrik Lensch (University of Tübingen)
