most citedGenerative AI and Creativity: A Systematic Literature Review and Meta-Analysis

16 citations · 20 across the 6 of their papers we have counts for

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cs.HC2026

Designing Against Deskilling: Metacognitive Feedback Reduces Cognitive Offloading to LLM Assistants

Sebastian Maier, Kai Schwabe, Manuel Schneider +1

Cognitive offloading to AI can reduce opportunities to practice skills, creating risks of deskilling. However, it remains unclear how to prevent deskilling without restricting acce…

cs.HC2026★ 2 cited

Supporting Effective Goal Setting with LLM-Based Chatbots

Michel Schimpf, Sebastian Maier, Anton Wyrowski +3

Each day, individuals set behavioral goals such as eating healthier, exercising regularly, or increasing productivity. While psychological frameworks (i.e., goal setting and implem…

cs.HC2025

A Meta-Analysis of the Persuasive Power of Large Language Models

Lukas Hölbling, Sebastian Maier, Stefan Feuerriegel

Large language models (LLMs) are increasingly used for persuasion, such as in political communication and marketing, where they affect how people think, choose, and act. Yet, empir…

cs.HC2025★ 2 cited

Partnering with Generative AI: Experimental Evaluation of Human-Led and Model-Led Interaction in Human-AI Co-Creation

Sebastian Maier, Manuel Schneider, Stefan Feuerriegel

Large language models (LLMs) show strong potential to support creative tasks, but the role of the interface design is poorly understood. In particular, the effect of different mode…

cs.HC2025★ 16 cited

Generative AI and Creativity: A Systematic Literature Review and Meta-Analysis

Niklas Holzner, Sebastian Maier, Stefan Feuerriegel

Generative artificial intelligence (GenAI) is increasingly used to support a wide range of human tasks, yet empirical evidence on its effect on creativity remains scattered. Can Ge…