256 citations · 1.5k across the 113 of their papers we have counts for
123 papers
The Language of Looking: Motion Tokens Reveal Domain-Dependent Local Structure in Gaze Sequences
Virmarie Maquiling, Enkelejda Kasneci
Human gaze is the primary high-bandwidth interface through which we parse the semantics of our environment. While often modeled as a sequence, the degree to which gaze exhibits tra…
Motion-Based Tokenization for Cross-Dataset Egocentric Gaze Modeling
Virmarie Maquiling, Zhuojiang Cai, Enkelejda Kasneci
Gaze is increasingly used as an input signal for vision and multimodal models, yet no consensus exists on how to represent it across datasets. Raw traces preserve detail but are no…
The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems
Gjergji Kasneci, Enkelejda Kasneci
Current AI safety discourse still focuses disproportionately on visible failures, including obvious harms, dramatic misuse, and hypothetical catastrophic scenarios. That focus is i…
AI Coding Agents in Social Science: Methodologically Diverse, Empirically Consistent, Interpretively Vulnerable
Meysam Alizadeh, Fabrizio Gilardi, Mohsen Mosleh +1
The deployment of LLM-based agents in scientific analysis raises opposing concerns: that agents may reduce methodological diversity, or that they may amplify the analytic flexibili…
From Scoring to Explanations: Evaluating SHAP and LLM Rationales for Rubric-based Teaching Quality Assessment
Ivo Bueno, Babette Bühler, Philipp Stark +5
Automated scoring models are increasingly used to assign rubric-based quality ratings to complex language performances, including classroom transcripts, yet they typically provide…
Sycophancy is an Educational Safety Risk: Why LLM Tutors Need Sycophancy Benchmarks
Enkelejda Kasneci, Gjergji Kasneci
This position paper argues that effective tutoring requires corrective friction: surfacing misconceptions and challenging them supportively to drive conceptual change. Yet preferen…
What Shapes Participant Data Quality? A Scoping Review and Case Study of Crowdsourced Webcam Eye Tracking in AI Interviews
Ka Hei Carrie Lau, Enkelejda Kasneci
Webcam-based eye tracking is a cost-effective, scalable method for remote research that effectively reaches broader populations. However, uncontrolled environments and hardware div…
An Affordable, Wearable Stereo-Eye-Tracking Platform
Alexander Zimmer, Yasmeen Abdrabou, Enkelejda Kasneci
Research on video-based eye-tracking has long explored stereo and glint-based methods, yet existing wearable eye trackers - both commercial and open-source - offer limited flexibil…
MemeScouts@LT-EDI 2026: Asking the Right Questions -- Prompted Weak Supervision for Meme Hate Speech Detection
Ivo Bueno, Lea Hirlimann, Enkelejda Kasneci
Detecting hate speech in memes is challenging due to their multimodal nature and subtle, culturally grounded cues such as sarcasm and context. While recent vision-language models (…
VIVA Stimuli: A Web-Based Platform for Eye Tracking Stimuli
Suleyman Ozdel, Virmarie Maquiling, Kadir Burak Buldu +2
Reproducibility in eye-tracking research is increasingly important as researchers conduct diverse experiments and seek to validate or replicate findings. However, exact replication…
Sure About That Line? Approaching Confidence-Based, Real-Time Line Assignment in Reading Gaze Data
Franziska Kaltenberger, Wei-Ling Chen, Enkeleda Thaqi +1
Remote and webcam-based eye tracking in multi-line reading suffers from various noise factors and layout ambiguity, precisely where real-time reading support needs reliable, per-fi…
Understanding Password Preferences, Memorability, and Security through a Human-Centered Lens
Duru Paker, Suleyman Ozdel, Enkelejda Kasneci
Passwords remain the primary authentication method, yet user-created passwords are often the weakest due to the security-usability trade-off. Although AI-based password generators…
Secure Storage and Privacy-Preserving Scanpath Comparison via Garbled Circuits in Eye Tracking
Suleyman Ozdel, Amr Nader, Yasmeen Abdrabou +1
With the growing use of eye tracking on VR and mobile platforms, gaze data is increasing. While scanpath comparison is important to gaze behavior analysis, existing methods lack pr…
Lazy or Efficient? Towards Accessible Eye-Tracking Event Detection Using LLMs
Dongyang Guo, Yasmeen Abdrabou, Enkelejda Kasneci
Gaze event detection is fundamental to vision science, human-computer interaction, and applied analytics. However, current workflows often require specialized programming knowledge…
As Far as Eye See: Vergence-Pupil Coupling in Near-Far Depth Switching
Virmarie Maquiling, Yasmeen Abdrabou, Enkelejda Kasneci
Vergence is widely used as a proxy for depth perception and spatial attention in immersive and real-world eye-tracking studies. In this paper, we investigate how pupil size artefac…
Night Eyes: A Reproducible Framework for Constellation-Based Corneal Reflection Matching
Virmarie Maquiling, Yasmeen Abdrabou, Enkelejda Kasneci
Corneal reflection (glint) detection plays an important role in pupil-corneal reflection (P-CR) eye tracking, but in practice it is often handled as heuristics embedded within larg…
Automatic Mind Wandering Detection in Educational Settings: A Systematic Review and Multimodal Benchmarking
Anna Bodonhelyi, Augustin Curinier, Babette Bühler +7
Detecting mind wandering is crucial in online education, and it occurs 30% of the time, as it directly impacts learners' retention, comprehension, and overall success in self-direc…
Skin-Deep Bias: How Avatar Appearances Shape Perceptions of AI Hiring
Ka Hei Carrie Lau, Philipp Stark, Efe Bozkir +1
Artificial intelligence is increasingly used in hiring, raising concerns about how applicants perceive these systems. While prior work on algorithmic fairness has emphasized techni…
Safeguarding Privacy: Privacy-Preserving Detection of Mind Wandering and Disengagement Using Federated Learning in Online Education
Anna Bodonhelyi, Mengdi Wang, Efe Bozkir +2
Since the COVID-19 pandemic, online courses have expanded access to education, yet the absence of direct instructor support challenges learners' ability to self-regulate attention…
Exploring Organizational Readiness and Ecosystem Coordination for Industrial XR
Hasan Tarik Akbaba, Efe Bozkir, Anna Puhl +2
Extended Reality (XR) offers transformative potential for industrial support, training, and maintenance; yet, widespread adoption lags despite demonstrated occupational value and h…
Exploring User Acceptance and Concerns toward LLM-powered Conversational Agents in Immersive Extended Reality
Efe Bozkir, Enkelejda Kasneci
The rapid development of generative artificial intelligence (AI) and large language models (LLMs), and the availability of services that make them accessible, have led the general…
Exploring Automated Recognition of Instructional Activity and Discourse from Multimodal Classroom Data
Ivo Bueno, Ruikun Hou, Babette Bühler +7
Observation of classroom interactions can provide concrete feedback to teachers, but current methods rely on manual annotation, which is resource-intensive and hard to scale. This…
CycleSL: Server-Client Cyclical Update Driven Scalable Split Learning
Mengdi Wang, Efe Bozkir, Enkelejda Kasneci
Split learning emerges as a promising paradigm for collaborative distributed model training, akin to federated learning, by partitioning neural networks between clients and a serve…
Cross-View Cross-Modal Unsupervised Domain Adaptation for Driver Monitoring System
Aditi Bhalla, Christian Hellert, Enkelejda Kasneci
Driver distraction remains a leading cause of road traffic accidents, contributing to thousands of fatalities annually across the globe. While deep learning-based driver activity r…