Ilona Buchem

Deep Learning for Real-Time Sound Order Recognition in Human-Robot Interaction

Rezaul Tutul, Usaid Khan, André Jakob, Ilona Buchem

Recognizing the temporal order of overlapping sounds is an underexplored challenge in human-robot interaction (HRI), with direct relevance to applications such as first responder detection systems. This paper presents a deep learning framework for real-time sound order recognition using recordable buzzers that …

Deep Learning for Real-Time Sound Order Recognition in Human-Robot Interaction

Rezaul Tutul, Usaid Khan, André Jakob, Ilona Buchem

Recognizing the temporal order of overlapping sounds is an underexplored challenge in human-robot interaction (HRI), with direct relevance to applications such as first responder detection systems. This paper presents a deep learning framework for real-time sound order recognition using recordable buzzers that …

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Technology Acceptance in University Robot-Supported Quiz-Based Learning: Verbal-Only Versus Multimodal Feedback With Sound Input

Rezaul Tutul, Ilona Buchem, André Jakob, Niels Pinkwart

The integration of social robots in higher education is accelerating, yet ensuring fair, engaging, and sustainable adoption remains challenging. This study evaluates a sound-driven, gamified quiz system implemented on the Pepper robot that integrates multimodal interaction, fairness-based first-responder detection, and gamification to …

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A Robot-Facilitated Educational Escape Room: Design and Results from a Pilot Study in Higher Education

Ilona Buchem, Niklas Baecker

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Competency Recognition in AI Education: Investigating Higher Education Students’ Perceptions of Open Educational Badges Using Technology-Acceptance Model.

Ilona Buchem, Franziska Schmid, Annika Ermel

In the age of Artificial Intelligence (AI), digital credentialing is transforming how competencies are recognized in AI education. Open Educational Badges (OEBs) have emerged as an alternative to traditional paper-based and PDF certificates, offering a more transparent and verifiable way to showcase …

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Millisecond-Level Sound Order Classification via Amplitude-Filtered Random Forest for Human-Robot Interaction

Rezaul Tutul, Ilona Buchem, André Jakob, Niels Pinkwart

Accurate temporal detection of overlapping nonverbal sounds is essential for fair and responsive human-robot interaction (HRI), especially in multi-user educational environments where sound-based inputs act as quiz buzzers. This paper presents a real-time sound order detection system capable of distinguishing the sequence …

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Evaluation of an e-learning platform promoting electronic personal health record competence: a pilot trial in older adults

Luis Perotti, Oskar Stamm, Drin Ferizaj, Michael Dietrich et autres

BACKGROUND: Electronic personal health records (ePHRs) play a key role in the digitalization of healthcare, but older adults, often less familiar with digital tools, face access challenges. This study assesses the effects of an interactive, microlearning-based e-learning platform on improving older adults' …

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A dynamic template adaptation approach for noise-robust sound classification and distance determination in single-channel audio

Rezaul Tutul, André Jakob, Ilona Buchem

In this study, we propose a dynamic template adaptation approach for noise-robust sound classification and distance estimation in single-channel audio environments. Traditional cross-correlation methods rely on fixed sound templates that limit their performance under dynamic and noisy conditions. Our method integrates a …

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NEFFY – A Social Robot for Multimodal Support of Slow-Paced Breathing Exercises

Emily Thomas, Kerim Dincel, Ilona Buchem

This paper demonstrates Neffy, an anthropomorphic social robot designed in a sustainable way to support slow-paced breathing for stress reduction through multimodal interaction. Neffy is an evolution of the prototype Ommie, previously developed at Yale University, and incorporates a sustainable design approach, …

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Understanding Technology Acceptance of Social Robots as Conversational Interfaces for LLMs

Rinat B. Rosenberg‐Kima, Ilona Buchem

Advancements in large language models (LLMs) have transformed human-computer interaction, enhancing engagement with conversational agents like chatbots, virtual agents, and social robots. This study explored how different conversational interfaces (computer, Furhat, NAO, and Pepper) impact perception and acceptance using the Human-Robot Interaction …

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Enhancing Student Engagement and Learning Outcomes Through Multimodal Robotic Interactions: A Study of non-Verbal Sound Recognition and Touch-Based Responses

Rezaul Tutul, Ilona Buchem, André Jakob

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Job Interview Training with RAG-LLM: An Experimental Study with the Furhat Robot

Ilona Buchem, Robin Bedemann, Felix A. Gers

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