activity
20232026
most citedEvaluating Generative AI in the Lab: Methodological Challenges and Guidelines

1 citations · 3 across the 8 of their papers we have counts for

collaborators

10 papers

cs.HC2026

A Systematic and Validated Translation of the Perceived Empathy of Technology Scale to Chinese

Matthias Schmidmaier, Jingyao Zheng, Jie Song +2

The Perceived Empathy of Technology Scale (PETS) allows evaluation of empathic behavior in intelligent systems, a concept increasingly applied in human-AI interaction, particularly…

cs.HC2026

Rethinking Opinion Measurement Interfaces for Human-in-the-Loop Optimization

Changkun Ou, Sven Mayer, Daniel Buschek +1

Human-in-the-loop optimization refers to systems that present choices to a human decision-maker and query their judgment to optimize system parameters iteratively. The user interfa…

cs.AI2026

DynaContext: Self-Improving Dynamic Contextualization of Optimized Prompts for Heterogeneous Parameter Extraction

Joe Yu, Shibin Thomas Stanley Paul, Sven Mayer

Automated prompt and skill optimization typically produces a single static instruction that is reused across inference instances until the next optimization cycle. However, this ap…

cs.HC2026

CoGen3D: An Agentic Human-AI Co-Design Pipeline for 3D Asset Generation for Virtual Reality

Weiwei Jiang, Wanyu He, Zheyu Tan +5

Creating 3D assets for virtual reality requires modeling expertise, which restricts the authorship of immersive experiences. Existing generative AI tools rely on unconstrained, com…

cs.HC2026

Toward a Unified Framework for Collaborative Design of Human-AI Interaction

Ankur Bhatt, Sven Mayer

Human computer interaction is shifting from screen-based systems to multimodal interfaces where artificial intelligence powered systems increasingly interpret user intent through s…

cs.HC2026★ 1 cited

Evaluating Generative AI in the Lab: Methodological Challenges and Guidelines

Hyerim Park, Khanh Huynh, Malin Eiband +3

Generative AI (GenAI) systems are inherently non-deterministic, producing varied outputs even for identical inputs. While this variability is central to their appeal, it challenges…

cs.HC2025

PersoNo: Personalised Notification Urgency Classifier in Mixed Reality

Jingyao Zheng, Haodi Weng, Xian Wang +4

Mixed Reality (MR) is increasingly integrated into daily life, providing enhanced capabilities across various domains. However, users face growing notification streams that disrupt…

cs.HC2025★ 1 cited

User-Centered AI for Data Exploration: Rethinking GenAI's Role in Visualization

Kathrin Schnizer, Sven Mayer

Recent advances in GenAI have enabled automation in data visualization, allowing users to generate visual representations using natural language. However, existing systems primaril…

cs.HC2024★ 1 cited

From Computational to Conversational Notebooks

Thomas Weber, Sven Mayer

Today, we see a drastic increase in LLM-based user interfaces to support users in various tasks. Also, in programming, we witness a productivity boost with features like LLM-suppor…

cs.HC2023

Usability and Adoption of Graphical Data-Driven Development Tools

Thomas Weber, Sven Mayer

Software development of modern, data-driven applications still relies on tools that use interaction paradigms that have remained mostly unchanged for decades. While rich forms of i…