most citedHow to Communicate Robot Motion Intent: A Scoping Review

69 citations · 88 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2024

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…

cs.HC2024

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…

cs.HC2024★ 4 cited

Hands-On Robotics: Enabling Communication Through Direct Gesture Control

Max Pascher, Alia Saad, Jonathan Liebers +4

Effective Human-Robot Interaction (HRI) is fundamental to seamlessly integrating robotic systems into our daily lives. However, current communication modes require additional techn…

cs.HC2023★ 15 cited

HaptiX: Vibrotactile Haptic Feedback for Communication of 3D Directional Cues

Max Pascher, Til Franzen, Kirill Kronhardt +3

In Human-Computer-Interaction, vibrotactile haptic feedback offers the advantage of being independent of any visual perception of the environment. Most importantly, the user's fiel…

cs.HC2023★ 69 cited

How to Communicate Robot Motion Intent: A Scoping Review

Max Pascher, Uwe Gruenefeld, Stefan Schneegass +1

Robots are becoming increasingly omnipresent in our daily lives, supporting us and carrying out autonomous tasks. In Human-Robot Interaction, human actors benefit from understandin…