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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

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6 papers · 1 filter

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…