121 citations · 139 across the 11 of their papers we have counts for
6 papers · 1 filter
Facilitating the Integration of LLMs Into Online Experiments With Simple Chat
R. Bermudez Schettino, A. Dasmeh, L. Brinkmann
As large language models (LLMs) become increasingly prevalent, understanding human-LLM interactions is emerging as a central priority in psychological research. Online experiments…
Cultural Alien Sampler: Open-ended art generation balancing originality and coherence
Alejandro H. Artiles, Hiromu Yakura, Levin Brinkmann +6
In open-ended domains like art, autonomous agents must generate ideas that are both original and internally coherent, yet current Large Language Models (LLMs) either default to fam…
Humans learn to prefer trustworthy AI over human partners
Yaomin Jiang, Levin Brinkmann, Anne-Marie Nussberger +3
Partner selection is crucial for cooperation and hinges on communication. As artificial agents, especially those powered by large language models (LLMs), become more autonomous, in…
Experimental Evidence for the Propagation and Preservation of Machine Discoveries in Human Populations
Levin Brinkmann, Thomas F. Eisenmann, Anne-Marie Nussberger +4
Intelligent machines with superhuman capabilities have the potential to uncover problem-solving strategies beyond human discovery. Emerging evidence from competitive gameplay, such…
Experimental Evidence That AI-Managed Workers Tolerate Lower Pay Without Demotivation
Mengchen Dong, Levin Brinkmann, Omar Sherif +4
Experimental evidence on worker responses to AI management remains mixed, partly due to limitations in experimental fidelity. We address these limitations with a customized workpla…
Expertise elevates AI usage: experimental evidence comparing laypeople and professional artists
Thomas F. Eisenmann, Andres Karjus, Mar Canet Sola +3
Generative AI's novel capacities raise questions about the future role of human expertise: does AI level the playing field between professional artists and laypeople, or does exper…