96 citations · 153 across the 5 of their papers we have counts for
5 papers
Do They Understand What They Are Using? -- Assessing Perception and Usage of Biometrics
Lukas Mecke, Alia Saad, Sarah Prange +3
In this paper we assess how well users know biometric authentication methods, how they perceive them, and if they have misconceptions about them. We present the results of an onlin…
Exploring the Lands Between: A Method for Finding Differences between AI-Decisions and Human Ratings through Generated Samples
Lukas Mecke, Daniel Buschek, Uwe Gruenefeld +1
Many important decisions in our everyday lives, such as authentication via biometric models, are made by Artificial Intelligence (AI) systems. These can be in poor alignment with h…
How to Prompt? Opportunities and Challenges of Zero- and Few-Shot Learning for Human-AI Interaction in Creative Applications of Generative Models
Hai Dang, Lukas Mecke, Florian Lehmann +2
Deep generative models have the potential to fundamentally change the way we create high-fidelity digital content but are often hard to control. Prompting a generative model is a p…
GANSlider: How Users Control Generative Models for Images using Multiple Sliders with and without Feedforward Information
Hai Dang, Lukas Mecke, Daniel Buschek
We investigate how multiple sliders with and without feedforward visualizations influence users' control of generative models. In an online study (N=138), we collected a dataset of…
Nine Potential Pitfalls when Designing Human-AI Co-Creative Systems
Daniel Buschek, Lukas Mecke, Florian Lehmann +1
This position paper examines potential pitfalls on the way towards achieving human-AI co-creation with generative models in a way that is beneficial to the users' interests. In par…