activity
20222025
most citedExploring Challenges and Opportunities to Support Designers in Learning to Co-create with AI-based Manufacturing Design Tools

122 citations · 171 across the 5 of their papers we have counts for

collaborators

6 papers

cs.HC2025

Prototyping Multimodal GenAI Real-Time Agents with Counterfactual Replays and Hybrid Wizard-of-Oz

Frederic Gmeiner, Kenneth Holstein, Nikolas Martelaro

Recent advancements in multimodal generative AI (GenAI) enable the creation of personal context-aware real-time agents that, for example, can augment user workflows by following th…

cs.HC2025★ 9 cited

Exploring the Potential of Metacognitive Support Agents for Human-AI Co-Creation

Frederic Gmeiner, Kaitao Luo, Ye Wang +2

Despite the potential of generative AI (GenAI) design tools to enhance design processes, professionals often struggle to integrate AI into their workflows. Fundamental cognitive ch…

cs.HC2025★ 9 cited

Intent Tagging: Exploring Micro-Prompting Interactions for Supporting Granular Human-GenAI Co-Creation Workflows

Frederic Gmeiner, Nicolai Marquardt, Michael Bentley +8

Despite Generative AI (GenAI) systems' potential for enhancing content creation, users often struggle to effectively integrate GenAI into their creative workflows. Core challenges…

cs.HC2025★ 24 cited

AI-Instruments: Embodying Prompts as Instruments to Abstract & Reflect Graphical Interface Commands as General-Purpose Tools

Nathalie Riche, Anna Offenwanger, Frederic Gmeiner +6

Chat-based prompts respond with verbose linear-sequential texts, making it difficult to explore and refine ambiguous intents, back up and reinterpret, or shift directions in creati…

cs.HC2023★ 122 cited

Exploring Challenges and Opportunities to Support Designers in Learning to Co-create with AI-based Manufacturing Design Tools

Frederic Gmeiner, Humphrey Yang, Lining Yao +2

AI-based design tools are proliferating in professional software to assist engineering and industrial designers in complex manufacturing and design tasks. These tools take on more…

cs.HC2022★ 7 cited

Team Learning as a Lens for Designing Human-AI Co-Creative Systems

Frederic Gmeiner, Kenneth Holstein, Nikolas Martelaro

Generative, ML-driven interactive systems have the potential to change how people interact with computers in creative processes - turning tools into co-creators. However, it is sti…