activity
20202024
most citedForms of Understanding for XAI-Explanations

11 citations · 16 across the 7 of their papers we have counts for

collaborators

7 papers

cs.RO2024

The Power of Combined Modalities in Interactive Robot Learning

Helen Beierling, Anna-Lisa Vollmer

This study contributes to the evolving field of robot learning in interaction with humans, examining the impact of diverse input modalities on learning outcomes. It introduces the…

cs.HC2024★ 2 cited

VACO: a Multi-perspective Development of a Therapeutic and Motivational Virtual Robotic Agent for Concentration for children with ADHD

Birte Richter, Ira-Katharina Petras, Anna-Lisa Vollmer +3

In this work, we present (i) a novel approach how artificial intelligence can support in the therapy for better concentration of children with Attention Deficit Hyperactivity Disor…

cs.RO2023

What you need to know about a learning robot: Identifying the enabling architecture of complex systems

Helen Beierling, Phillip Richter, Mara Brandt +4

Nowadays, we are dealing more and more with robots and AI in everyday life. However, their behavior is not always apparent to most lay users, especially in error situations. As a r…

cs.AI2023★ 11 cited

Forms of Understanding for XAI-Explanations

Hendrik Buschmeier, Heike M. Buhl, Friederike Kern +17

Explainability has become an important topic in computer science and artificial intelligence, leading to a subfield called Explainable Artificial Intelligence (XAI). The goal of pr…

cs.RO2023★ 1 cited

From Interactive to Co-Constructive Task Learning

Anna-Lisa Vollmer, Daniel Leidner, Michael Beetz +1

Humans have developed the capability to teach relevant aspects of new or adapted tasks to a social peer with very few task demonstrations by making use of scaffolding strategies th…

cs.RO2021

Improving HRI through robot architecture transparency

Lukas Hindemith, Anna-Lisa Vollmer, Christiane B. Wiebel-Herboth +1

In recent years, an increased effort has been invested to improve the capabilities of robots. Nevertheless, human-robot interaction remains a complex field of application where err…