44 citations · 105 across the 25 of their papers we have counts for
24 papers · 1 filter
EEG and Eye-Tracking Evidence That AI Disclosure Shapes Face Evaluation
Teodora Mitrevska, Luise Donat, Andreas Butz +3
AI-generated faces can be difficult to distinguish from real ones, leaving viewers to rely on source labels when judging an image. Yet prior work has made it difficult to separate…
How Did Writing Change At CHI? Analyzing 44 Years of CHI Writing Before and After the Introduction of Large Language Models
Thomas Kosch, Robin Welsch, Michael Hedderich +1
The availability of Large Language Models (LLMs) reshaped scientific discourse at a linguistic level. LLMs are assumed to homogenize academic writing, flattening it into a single g…
Available but Unclaimed: An Empirical Study of Human-AI Synergy
Robin Welsch, Michelle Rausch, Pascal Knierim +4
People increasingly reason with large language models (LLMs), yet complementary capabilities do not guarantee outperforming both components. In a between-subjects study, participan…
A Modular Workflow for Multimodal Reading Experiments
Thomas Krämer, Thomas Kosch, Dagmar Kern +1
We introduce a web-based modular workflow for real-time multimodal experiments in naturalistic online reading. The workflow integrates eye tracking, EEG, and interaction data from…
Topic Matters: How Linguistic Properties can Shape Reading Behaviour in Selective Exposure Studies
Thomas Krämer, Dagmar Kern, Thomas Kosch +1
Research on selective exposure frequently relies on eye tracking to study reading behaviour, often assuming that texts across different controversial topics are comparable once bas…
Explaining Too Much? Understanding How Large Language Model Reasoning Traces Influence Performance and Metacognition
Daniela Fernandes, Daniel Buschek, Lev Tankelevitch +2
Large Language Model interfaces are increasingly verbose, exposing intermediate reasoning traces alongside final answers. Traces are framed as transparency mechanisms, yet it is un…
LLM-Based Educational Simulation: Evaluating Temporal Student Persona Stability Across ADHD Profiles
Jana Gonnermann-Müller, Jennifer Haase, Nicolas Leins +2
Large language model (LLM)-based student simulation offers a scalable alternative for educational research, teacher training, and learner practice. However, its validity depends on…
Escaping the Filter Bubble: Evaluating Electroencephalographic Theta Band Synchronization as Indicator for Selective Exposure in Online News Reading
Thomas Krämer, Daniel Hienert, Francesco Chiossi +2
Selective exposure to online news occurs when users favor information that confirms their beliefs, creating filter bubbles and limiting diverse perspectives. Interactive systems ca…
Stable Personas: Dual-Assessment of Temporal Stability in LLM-Based Human Simulation
Jana Gonnermann-Müller, Jennifer Haase, Nicolas Leins +2
Large Language Models (LLMs) acting as artificial agents offer the potential for scalable behavioral research, yet their validity depends on whether LLMs can maintain stable person…
Human learning is an understudied but promising lever for boosting human--AI synergy
Julian Berger, Jason W. Burton, Ralph Hertwig +9
Humans collaborating with artificial intelligence (AI) hold the promise of achieving superior outcomes compared to either acting alone (i.e., human--AI synergy). However, the condi…
If You Had to Pitch Your Ideal Software -- Evaluating Large Language Models to Support User Scenario Writing for User Experience Experts and Laypersons
Patrick Stadler, Christopher Lazik, Christopher Katins +1
The process of requirements analysis requires an understanding of the end users of a system. Thus, expert stakeholders, such as User Experience (UX) designers, usually create vario…
Prompt-Hacking: The New p-Hacking?
Thomas Kosch, Sebastian Feger
As Large Language Models (LLMs) become increasingly embedded in empirical research workflows, their use as analytical tools for quantitative or qualitative data raises pressing con…
Evaluating Eye Tracking and Electroencephalography as Indicator for Selective Exposure During Online News Reading
Thomas Krämer, Francesco Chiossi, Thomas Kosch
Selective exposure to online news consumption reinforces filter bubbles, restricting access to diverse viewpoints. Interactive systems can counteract this bias by suggesting altern…
The Impostor is Among Us: Can Large Language Models Capture the Complexity of Human Personas?
Christopher Lazik, Christopher Katins, Charlotte Kauter +4
Large Language Models (LLMs) created new opportunities for generating personas, expected to streamline and accelerate the human-centered design process. Yet, AI-generated personas…
"Create a Fear of Missing Out" -- ChatGPT Implements Unsolicited Deceptive Designs in Generated Websites Without Warning
Veronika Krauß, Mark McGill, Thomas Kosch +3
With the recent advancements in Large Language Models (LLMs), web developers increasingly apply their code-generation capabilities to website design. However, since these models ar…
MorphoHaptics: An Open-Source Tool for Visuohaptic Exploration of Morphological Image Datasets
Lucas Siqueira Rodrigues, Thomas Kosch, John Nyakatura +2
Although digital methods have significantly advanced morphology, practitioners are still challenged to understand and process tomographic specimen data. As automated processing of…
Performance and Metacognition Disconnect when Reasoning in Human-AI Interaction
Daniela Fernandes, Steeven Villa, Salla Nicholls +6
Optimizing human-AI interaction requires users to reflect on their own performance critically. Our paper examines whether people using AI to complete tasks can accurately monitor h…
Mind the Visual Discomfort: Assessing Event-Related Potentials as Indicators for Visual Strain in Head-Mounted Displays
Francesco Chiossi, Yannick Weiss, Thomas Steinbrecher +2
When using Head-Mounted Displays (HMDs), users may not always notice or report visual discomfort by blurred vision through unadjusted lenses, motion sickness, and increased eye str…
Comparing the Effects of Visual, Haptic, and Visuohaptic Encoding on Memory Retention of Digital Objects in Virtual Reality
Lucas Siqueira Rodrigues, Timo Torsten Schmidt, John Nyakatura +3
Although Virtual Reality (VR) has undoubtedly improved human interaction with 3D data, users still face difficulties retaining important details of complex digital objects in prepa…
Assessing User Apprehensions About Mixed Reality Artifacts and Applications: The Mixed Reality Concerns (MRC) Questionnaire
Christopher Katins, Paweł W. Woźniak, Aodi Chen +4
Current research in Mixed Reality (MR) presents a wide range of novel use cases for blending virtual elements with the real world. This yet-to-be-ubiquitous technology challenges h…
Risk or Chance? Large Language Models and Reproducibility in HCI Research
Thomas Kosch, Sebastian Feger
Reproducibility is a major concern across scientific fields. Human-Computer Interaction (HCI), in particular, is subject to diverse reproducibility challenges due to the wide range…
3DA: Assessing 3D-Printed Electrodes for Measuring Electrodermal Activity
Martin Schmitz, Dominik Schön, Henning Klagemann +1
Electrodermal activity (EDA) reflects changes in skin conductance, which are closely tied to human psychophysiological states. For example, EDA sensors can assess stress, cognitive…
The Illusion of Performance: The Effect of Phantom Display Refresh Rates on User Expectations and Reaction Times
Esther Bosch, Robin Welsch, Tamim Ayach +2
User expectations impact the evaluation of new interactive systems. Increased expectations may enhance the perceived effectiveness of interfaces in user studies, similar to a place…
HappyRouting: Learning Emotion-Aware Route Trajectories for Scalable In-The-Wild Navigation
David Bethge, Daniel Bulanda, Adam Kozlowski +3
Routes represent an integral part of triggering emotions in drivers. Navigation systems allow users to choose a navigation strategy, such as the fastest or shortest route. However,…