Explanipedia

Spatial Referencing for Large Language Models in Automotive Navigation Tasks Open

Jeremy Dillmann, Sven Mayer · 2025

Using a Secondary Channel to Display the Internal Empathic Resonance of LLM-Driven Agents for Mental Health Support Open

Matthias Schmidmaier, Jonathan Rupp, Sven Mayer · 2025

Designing and Evaluating In-Situ Assistive Features to Anticipate Text-Based Responses of Conversational Agents Open

Michelle Xiao-Lin Foo, Ilhan Aslan, Sven Mayer · 2025

The Effects of AMD Severities on Eye Movements in Virtual Environments Open

Jesse W. Grootjen, Sunanda Yadla, Sven Mayer · 2025

A Systematic and Validated Translation of the Perceived Empathy of Technology Scale from English to German Open

Matthias Schmidmaier, Lukas Schöberl, Jonathan Rupp, Sven Mayer · 2025

Understanding the Impact of Glaucoma Severities Through Virtual Reality Simulations Open

Jesse W. Grootjen, Sairam Narsimha Reddy Yadla, Sven Mayer · 2025

Contextualizing Smartphone-Typed Language With User Input Intention Open

Florian Bemmann, T. Koch, Maximilian Bergmann, Clemens Stachl, Daniel Buschek , et al. · 2025

Influence of Perceived Danger on Proxemics in Human-Robot Object Handovers Open

Carl Oechsner, Jan Leusmann, Robin Welsch, Andreas Butz, Sven Mayer · 2025

Situated Artifacts Amplify Engagement in Physical Activity Open

Jonas Keppel, Marvin Strauss, Luke Haliburton, Henrike Weingärtner, Julia Dominiak , et al. · 2025

The Future of Human-Robot Synergy in Interactive Environments: The Role of Robots at the Workplace Open

Jan Leusmann, Pooja Prajod, Binh Vinh Duc Nguyen, Max Pascher, Andrew Vande Moere , et al. · 2025

An explainable segmentation decision tree model for enhanced decision support in roundwood sorting Open

Julia Achatz, Pauline Sailer, Sven Mayer, Mark Schubert · 2025

Recent industry insights highlight the urgent need for affordable automation and Decision Support Systems (DSSs) in roundwood grading. Existing solutions are often prohibitively expensive or lack the necessary interpretability for practica…

Developing and Validating the Perceived System Curiosity Scale (PSC): Measuring Users' Perceived Curiosity of Systems Open

Jan Leusmann, Steeven Villa, Burak Berberoglu, Chao Wang, Sven Mayer · 2025

Investigating LLM-Driven Curiosity in Human-Robot Interaction Open

Jan Leusmann, Anna Belardinelli, Luke Haliburton, Stephan Hasler, Albrecht Schmidt , et al. · 2025

An Approach to Elicit Human-Understandable Robot Expressions to Support Human-Robot Interaction Open

Jan Leusmann, Steeven Villa, Thomas Liang, Chao Wang, Albrecht Schmidt , et al. · 2025

Eliciting Understandable Architectonic Gestures for Robotic Furniture through Co-Design Improvisation Open

Alex Binh Vinh Duc Nguyen, Jan Leusmann, Sven Mayer, Andrew Vande Moere · 2025

The vision of adaptive architecture proposes that robotic technologies could enable interior spaces to physically transform in a bidirectional interaction with occupants. Yet, it is still unknown how this interaction could unfold in an und…

Designing and Evaluating an Adaptive Virtual Reality System using EEG Frequencies to Balance Internal and External Attention States Open

Francesco Chiossi, Changkun Ou, Carolina Gerhardt, Felix Putze, Sven Mayer · 2024

Virtual reality (VR) finds various applications in productivity, entertainment, and training, often requiring substantial working memory and attentional resources. Effective task performance in VR relies on prioritizing relevant informatio…

Evaluating Typing Performance in Different Mixed Reality Manifestations using Physiological Features Open

Francesco Chiossi, Yassmine El Khaoudi, Changkun Ou, Ludwig Sidenmark, Abdelrahman Zaky , et al. · 2024

Mixed reality enables users to immerse themselves in high-workload interaction spaces like office work scenarios. We envision physiologically adaptive systems that can move users into different mixed reality manifestations, to improve thei…

An Approach to Elicit Human-Understandable Robot Expressions to Support Human-Robot Interaction Open

Jan Leusmann, Steeven Villa, Thomas Liang, Chao Wang, Albrecht Schmidt , et al. · 2024

Understanding the intentions of robots is essential for natural and seamless human-robot collaboration. Ensuring that robots have means for non-verbal communication is a basis for intuitive and implicit interaction. For this, we contribute…

Understanding the Impact of the Reality-Virtuality Continuum on Visual Search Using Fixation-Related Potentials and Eye Tracking Features Open

Francesco Chiossi, Uwe Gruenefeld, Baosheng James Hou, Joshua Newn, Changkun Ou , et al. · 2024

While Mixed Reality allows the seamless blending of digital content in users' surroundings, it is unclear if its fusion with physical information impacts users' perceptual and cognitive resources differently. While the fusion of digital an…

Uncovering labeler bias in machine learning annotation tasks Open

Luke Haliburton, Jan Leusmann, Robin Welsch, Sinksar Ghebremedhin, Petros Isaakidis , et al. · 2024

As artificial intelligence becomes increasingly pervasive, it is essential that we understand the implications of bias in machine learning. Many developers rely on crowd workers to generate and annotate datasets for machine learning applic…

Learning in the wild – exploring interactive notifications to foster organic retention of everyday media content Open

Sophia Sigethy, Sven Mayer, Christina Schneegass · 2024

The amount of information we consume daily through smartphones has prompted the development of Personal Knowledge Management Systems (PKMS). However, these external memory aids can lead to overreliance and do not help to keep information i…

Significant Productivity Gains through Programming with Large Language Models Open

Thomas Weber, Maximilian Brandmaier, Albrecht Schmidt, Sven Mayer · 2024

Large language models like GPT and Codex drastically alter many daily tasks, including programming, where they can rapidly generate code from natural language or informal specifications. Thus, they will change what it means to be a program…

Extending Jupyter with Multi-Paradigm Editors Open

Thomas Weber, Janina Ehe, Sven Mayer · 2024

Computational notebooks like the Jupyter programming environment have been popular, particularly for developing data-driven applications. One of its main benefits is that it easily supports different programming languages with exchangeable…

From Computational to Conversational Notebooks Open

Thomas Weber, Sven Mayer · 2024

Today, we see a drastic increase in LLM-based user interfaces to support users in various tasks. Also, in programming, we witness a productivity boost with features like LLM-supported code completion and conversational agents to generate c…

Investigating Labeler Bias in Face Annotation for Machine Learning Open

Luke Haliburton, Sinksar Ghebremedhin, Robin Welsch, Albrecht Schmidt, Sven Mayer · 2024

In a world increasingly reliant on artificial intelligence, it is more important than ever to consider the ethical implications of artificial intelligence. One key under-explored challenge is labeler bias — bias introduced by individuals w…

Uncovering and Addressing Blink-Related Challenges in Using Eye Tracking for Interactive Systems Open

Jesse W. Grootjen, Henrike Weingärtner, Sven Mayer · 2024

Currently, interactive systems use physiological sensing to enable advanced functionalities. While eye tracking is a promising means to understand the user, eye tracking data inherently suffers from missing data due to blinks, which may re…

Real-World Winds: Micro Challenges to Promote Balance Post Smartphone Overload Open

Nađa Terzimehić, Julia Huber, Sarah Aragon-Hahner, Sven Mayer · 2024

We present and evaluate the concept of winds – micro challenges to be done in the physical world post-smartphone overload, to encourage exiting the digital smartphone tunnel and promote refreshing breaks from the digital realm. Whereas dig…

Sitting Posture Recognition and Feedback: A Literature Review Open

Christian Krauter, Katrin Angerbauer, Aimée Sousa Calepso, Alexander Achberger, Sven Mayer , et al. · 2024

Extensive sitting is unhealthy; thus, countermeasures are needed to react to the ongoing trend toward more prolonged sitting. A variety of studies and guidelines have long addressed the question of how we can improve our sitting habits. Ne…

Perceived Empathy of Technology Scale (PETS): Measuring Empathy of Systems Toward the User Open

Matthias Schmidmaier, Jonathan Rupp, Darina Cvetanova, Sven Mayer · 2024

Affective computing improves rapidly, allowing systems to process human emotions. This enables systems such as conversational agents or social robots to show empathy toward users. While there are various established methods to measure the …

PhysioCHI: Towards Best Practices for Integrating Physiological Signals in HCI Open

Francesco Chiossi, Ekaterina R. Stepanova, Benjamin Tag, Monica Perusquía-Hernández, Alexandra Kitson , et al. · 2024

Recently, we saw a trend toward using physiological signals in interactive systems. These signals, offering deep insights into users' internal states and health, herald a new era for HCI. However, as this is an interdisciplinary approach, …

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