6 papers
Towards a cognitive architecture to enable natural language interaction in co-constructive task learning
Manuel Scheibl, Birte Richter, Alissa Müller +2
This research addresses the question, which characteristics a cognitive architecture must have to leverage the benefits of natural language in Co-Constructive Task Learning (CCTL).…
Emotion-sensitive Explanation Model
Christian Schütze, Birte Richter, Britta Wrede
Explainable AI (XAI) research has traditionally focused on rational users, aiming to improve understanding and reduce cognitive biases. However, emotional factors play a critical r…
Influence of prior and task generated emotions on XAI explanation retention and understanding
Birte Richter, Christian Schütze, Anna Aksonova +1
The explanation of AI results and how they are received by users is an increasingly active research field. However, there is a surprising lack of knowledge about how social factors…
Virtual Agent Tutors in Sheltered Workshops: A Feasibility Study on Attention Training for Individuals with Intellectual Disabilities
Julian Leichert, Monique Koke, Britta Wrede +1
In this work, we evaluate the feasibility of socially assistive virtual agent-based cognitive training for people with intellectual disabilities (ID) in a sheltered workshop. The R…
Leveraging Cognitive States for Adaptive Scaffolding of Understanding in Explanatory Tasks in HRI
André GroÃ, Birte Richter, Bjarne Thomzik +1
Understanding how scaffolding strategies influence human understanding in human-robot interaction is important for developing effective assistive systems. This empirical study inve…
SHIFT: An Interdisciplinary Framework for Scaffolding Human Attention and Understanding in Explanatory Tasks
André GroÃ, Birte Richter, Britta Wrede
In this work, we present a domain-independent approach for adaptive scaffolding in robotic explanation generation to guide tasks in human-robot interaction. We present a method for…