4 citations · 6 across the 9 of their papers we have counts for
10 papers
A Systematic Review of Human-AI Co-Creativity
Saloni Singh, Koen Hindriks, Dirk Heylen +1
The co creativity community is making significant progress in developing more sophisticated and tailored systems to support and enhance human creativity. Design considerations from…
Exploring the Effect of Robotic Embodiment and Empathetic Tone of LLMs on Empathy Elicitation
Liza Darwesh, Jaspreet Singh, Marin Marian +3
This study investigates the elicitation of empathy toward a third party through interaction with social agents. Participants engaged with either a physical robot or a voice-enabled…
Dialogic Learning in Child-Robot Interaction: A Hybrid Approach to Personalized Educational Content Generation
Elena Malnatsky, Shenghui Wang, Koen V. Hindriks +1
Dialogic learning fosters motivation and deeper understanding in education through purposeful and structured dialogues. Foundational models offer a transformative potential for chi…
Robot Policy Transfer with Online Demonstrations: An Active Reinforcement Learning Approach
Muhan Hou, Koen Hindriks, A. E. Eiben +1
Transfer Learning (TL) is a powerful tool that enables robots to transfer learned policies across different environments, tasks, or embodiments. To further facilitate this process,…
Active Robot Curriculum Learning from Online Human Demonstrations
Muhan Hou, Koen Hindriks, A. E. Eiben +1
Learning from Demonstrations (LfD) allows robots to learn skills from human users, but its effectiveness can suffer due to sub-optimal teaching, especially from untrained demonstra…
What Can You Say to a Robot? Capability Communication Leads to More Natural Conversations
Merle M. Reimann, Koen V. Hindriks, Florian A. Kunneman +3
When encountering a robot in the wild, it is not inherently clear to human users what the robot's capabilities are. When encountering misunderstandings or problems in spoken intera…
Spectral oversubtraction? An approach for speech enhancement after robot ego speech filtering in semi-real-time
Yue Li, Koen V. Hindriks, Florian A. Kunneman
Spectral subtraction, widely used for its simplicity, has been employed to address the Robot Ego Speech Filtering (RESF) problem for detecting speech contents of human interruption…
"Give Me an Example Like This": Episodic Active Reinforcement Learning from Demonstrations
Muhan Hou, Koen Hindriks, A. E. Eiben +1
Reinforcement Learning (RL) has achieved great success in sequential decision-making problems, but often at the cost of a large number of agent-environment interactions. To improve…
A Near-Real-Time Processing Ego Speech Filtering Pipeline Designed for Speech Interruption During Human-Robot Interaction
Yue Li, Florian A. Kunneman, Koen V. Hindriks
With current state-of-the-art automatic speech recognition (ASR) systems, it is not possible to transcribe overlapping speech audio streams separately. Consequently, when these ASR…
Single-Channel Robot Ego-Speech Filtering during Human-Robot Interaction
Yue Li, Koen V Hindriks, Florian Kunneman
In this paper, we study how well human speech can automatically be filtered when this overlaps with the voice and fan noise of a social robot, Pepper. We ultimately aim for an HRI…