activity
20232026
most citedMachine Culture

121 citations · 139 across the 11 of their papers we have counts for

collaborators

13 papers

cs.HC2026

Spook the Machine: Gamified Exploration of Human Imagination of Machine Fear

Levin Brinkmann, Hiromu Yakura, Sonia Nicoletti +9

What happens when AI machines express fear? Do humans engage differently depending on how they express it? And what does it take to design for affective human-AI interaction? We pr…

cs.HC2026

Time Machine Experiments: Using Historically-Bounded AI for Inquiry into the Human Mind

Hiromu Yakura, Robin Schimmelpfennig, Ezequiel Lopez-Lopez +5

Can interacting with someone from 1930, with no knowledge of what happened after, influence a person's perception of the past? People reason about the present against a picture of…

cs.CY2026

Group Selection Promotes Prosocial Prompts in Populations of LLM Agents

Luis Celiktemel, Edward Eichhorn, Levin Brinkmann +5

Current approaches to instill prosociality in large language model (LLM) agents often rely on humans specifying desired behaviors at the individual level, which does not guarantee…

cs.AI2026

The Alien Space of Science: Sampling Coherent but Cognitively Unavailable Research Directions

Alejandro H. Artiles, Martin Weiss, Levin Brinkmann +6

Scientific discovery is constrained not only by what is true, but by what is cognitively available to researchers. Many directions are coherent in light of the literature yet unlik…

cs.HC2025

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…

cs.AI2025

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…

cs.HC2025

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…

cs.CY2025

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…

cs.CY2025

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…

cs.HC2025★ 2 cited

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…

cs.AI2024

Alien Recombination: Exploring Concept Blends Beyond Human Cognitive Availability in Visual Art

Alejandro Hernandez, Levin Brinkmann, Ignacio Serna +6

While AI models have demonstrated remarkable capabilities in constrained domains like game strategy, their potential for genuine creativity in open-ended domains like art remains d…

cs.CY2024★ 16 cited

Empirical evidence of Large Language Model's influence on human spoken communication

Hiromu Yakura, Ezequiel Lopez-Lopez, Levin Brinkmann +7

From the printing press to social media, innovations in communication technology have repeatedly reshaped how ideas spread through human culture. Chatbots powered by generative art…

cs.CY2023★ 121 cited

Machine Culture

Levin Brinkmann, Fabian Baumann, Jean-François Bonnefon +12

The ability of humans to create and disseminate culture is often credited as the single most important factor of our success as a species. In this Perspective, we explore the notio…