Late Breaking Reports accepted for Human-Robot Interaction 2024

Two Late-Breaking Results were accepted for the 19th Annual ACM/IEEE International Conference on Human Robot Interaction (HRI).

AntHand: Interaction techniques for precise telerobotic control using scaled objects in virtual environments, Dries Cardinaels, Bram van Deurzen, Raf Ramakers, & Kris Luyten, in Human-Robot Interaction 2024, Late Breaking Reports.


This paper introduces AntHand, a set of interaction techniques for enhancing precision and adaptability in telerobotics through the use of scaled objects in virtual environments. AntHand operates in three phases: up-scaling interaction, for detailed control through a magnified virtual model; constraining interaction, which locks movement dimensions for accuracy; and post-editing, allowing manipulation trace optimization and noise reduction. AntHand demonstrates how collaboration between humans and robots can improve precise control of robot actions in telerobotic operations.

A visual design space for one-dimensional intelligible human-robot interaction visualizations, Bram van Deurzen, Gustavo Rovelo Ruiz, & Kris Luyten , in Human-Robot Interaction 2024, Late Breaking Reports, .


To enable effective communication between users and autonomous robots, it is crucial to have a shared understanding of goals and actions. This is made possible through an intelligible interface that communicates relevant information. This intelligibility enhances user comprehension, enabling them to anticipate the robot’s actions and respond appropriately. However, because robots can perform a wide variety of actions and communication resources are limited, such as the number of available “pixels”, visualizations must be carefully designed. To tackle this challenge, we have developed a visual design framework and design space that can be used to create intelligible visualizations for human-robot interaction. Our framework focuses on three key components: information type, pixel layout, and robot type. We demonstrate how intelligibility can be integrated into interactions through prototype visualizations featuring a one-dimensional pixel layout, laying the groundwork for developing more detailed and understandable visualizations.