15 citations · 18 across the 3 of their papers we have counts for
4 papers
A Scale For Value Alignment In Human-AI Interaction
Lena Hegemann, Steeven Villa, Hyemin Bang +4
Value alignment is a central objective in AI and HCI research, yet no validated instrument measures how users perceive it. This gap hampers the comparison and accumulation of findi…
The Illusion of Performance: The Effect of Phantom Display Refresh Rates on User Expectations and Reaction Times
Esther Bosch, Robin Welsch, Tamim Ayach +2
User expectations impact the evaluation of new interactive systems. Increased expectations may enhance the perceived effectiveness of interfaces in user studies, similar to a place…
Gender, Age, and Technology Education Influence the Adoption and Appropriation of LLMs
Fiona Draxler, Daniel Buschek, Mikke Tavast +4
Large Language Models (LLMs) such as ChatGPT have become increasingly integrated into critical activities of daily life, raising concerns about equitable access and utilization acr…
"AI enhances our performance, I have no doubt this one will do the same": The Placebo effect is robust to negative descriptions of AI
Agnes M. Kloft, Robin Welsch, Thomas Kosch +1
Heightened AI expectations facilitate performance in human-AI interactions through placebo effects. While lowering expectations to control for placebo effects is advisable, overly…