Suchergebnisse - "Data processing Computer science"

RetreatVR: A Design Exploration of an In-Game Quiet Room for Virtual Reality Games for Neurodivergent People

Autoren: Anna-Lena Meiners Phoebe Kray Kathrin Gerling

Quelle: Proceedings of the 27th International ACM SIGACCESS Conference on Computers and Accessibility. :1-5

Schlagwörter: ddc:004, Neurodivergence, Autism, Self-Regulation, DATA processing & computer science, Virtual Reality, Game, ADHD, Sensory Room, Quiet Room

Dateibeschreibung: application/pdf

Zugangs-URL: https://publikationen.bibliothek.kit.edu/1000183896/165485513
https://publikationen.bibliothek.kit.edu/1000183896
https://doi.org/10.5445/IR/1000183896

Understanding Accessibility for Physically Disabled Users in VR: Interplay of Physical, Digital, and Experiential Layers

Autoren: Marvin Wolf Kathrin Gerling Dmitry Alexandrovsky et al.

Quelle: Proceedings of the 27th International ACM SIGACCESS Conference on Computers and Accessibility. :1-15

Schlagwörter: ddc:004, DATA processing & computer science

Dateibeschreibung: application/pdf

Exploring Future Directions for Healthy Escapism and Self-Regulation in Games

Autoren: Mehmet Kosa Julian Frommel Kathrin Gerling et al.

Quelle: Companion Proceedings of the Annual Symposium on Computer-Human Interaction in Play. :284-287

Schlagwörter: ddc:004, DATA processing & computer science

Dateibeschreibung: application/pdf

Zugangs-URL: https://publikationen.bibliothek.kit.edu/1000183927
https://doi.org/10.5445/IR/1000183927
https://publikationen.bibliothek.kit.edu/1000183927/165595487

NOTHORG; A digital twin for ECU security testing

Autoren: Marek Wehmer Jean Diestl Dominik Waibel et al.

Quelle: Proceedings of the 2025 Cyber Security in CarS Workshop. :1-9

Schlagwörter: ddc:004, DATA processing & computer science

Dateibeschreibung: application/pdf

X-by-Construction: Towards Ensuring Non-functional Properties in by-Construction Engineering

Autoren: Maximilian Kodetzki Tabea Bordis Alex Potanin et al.

Quelle: Proceedings of the 2025 ACM SIGPLAN International Symposium on New Ideas, New Paradigms, and Reflections on Programming and Software. :99-115

Schlagwörter: ddc:004, DATA processing & computer science

Dateibeschreibung: application/pdf

Zugangs-URL: https://publikationen.bibliothek.kit.edu/1000185618/167860055
https://publikationen.bibliothek.kit.edu/1000185618
https://doi.org/10.5445/IR/1000185618

Closed-Loop Rhythmic Haptic Biofeedback via Smartwatch for Relaxation and Sleep Onset

Autoren: Jueun Lee Dennis Moschina Supraja Ramesh et al.

Quelle: Proceedings of the 2025 ACM International Symposium on Wearable Computers. :30-37

Schlagwörter: ddc:004, Human-Computer Interaction, FOS: Computer and information sciences, Haptic Biofeedback, Smartwatch Applications, Sleep Initiation Support, DATA processing & computer science, Affective Computing, Relaxation Interventions, Rhythmic Vibration, Wearable Haptics, Human-Computer Interaction (cs.HC)

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2507.02432
https://publikationen.bibliothek.kit.edu/1000185565/167851541
https://publikationen.bibliothek.kit.edu/1000185565
https://doi.org/10.5445/IR/1000185565

Looking through the Lens: Contextualizing and Operationalizing Design Recommendations for Rehabilitation Games for Young People

Autoren: Maria Aufheimer Kathrin Gerling T. C. Nicholas Graham et al.

Quelle: Proceedings of the ACM on Human-Computer Interaction. 9:1-28

Schlagwörter: ddc:004, Motivation, Physical Therapy, Self-Determination Theory, DATA processing & computer science, Rehabilitation, Games

Dateibeschreibung: application/pdf

Quest for quality: a review of design knowledge on gamified AI training data annotation systems

Autoren: Krohmann, Simon Rank, Sascha Schmidt-Kraepelin, Manuel et al.

Quelle: Behaviour & Information Technology

Schlagwörter: ddc:004, AI training data, Literature review, Annotation, DATA processing & computer science, Design knowledge, Gamification

Dateibeschreibung: application/pdf

Zugangs-URL: https://publikationen.bibliothek.kit.edu/1000186477/168994278
https://doi.org/10.5445/IR/1000186477
https://publikationen.bibliothek.kit.edu/1000186477

A Qualitative Exploration of How Children and Parents Experience and Structure Disengagement from Games

Autoren: Meshaiel M. Alsheail Kathrin Gerling Zeynep Yildiz

Quelle: Proceedings of the ACM on human-computer interaction, 9 (6), 542–565

Schlagwörter: ddc:004, DATA processing & computer science

Dateibeschreibung: application/pdf

RollAbility: A Case Study of Aligning the Design of Game-Based Wheelchair Skills Training with Clinical Protocols and Player Experience Goals

Autoren: Douwe Ravers Dmitry Alexandrovsky Mari Naaris et al.

Quelle: Proceedings of the ACM on human-computer interaction, 9 (6)

Schlagwörter: ddc:004, DATA processing & computer science

Dateibeschreibung: application/pdf

Zugangs-URL: https://publikationen.bibliothek.kit.edu/1000183926
https://doi.org/10.5445/IR/1000183926
https://publikationen.bibliothek.kit.edu/1000183926/163661757

Detecting Information Flow Security Vulnerabilities by Analysis Coupling

Autoren: Frederik Reiche Ralf Reussner Robert Heinrich

Quelle: IEEE Transactions on Software Engineering, 51 (10), 2710–2743

Schlagwörter: ddc:004, DATA processing & computer science

Dateibeschreibung: application/pdf

Zugangs-URL: https://publikationen.bibliothek.kit.edu/1000183239
https://publikationen.bibliothek.kit.edu/1000183239/163036789
https://doi.org/10.5445/IR/1000183239

On autoregressive deep learning models for day-ahead wind power forecasts with irregular shutdowns due to redispatching

Autoren: Stefan Meisenbacher Silas Aaron Selzer Mehdi Dado et al.

Quelle: at-Automatisierungstechnik, 73 (10), 752–766

Schlagwörter: ddc:004, Signal Processing (eess.SP), FOS: Computer and information sciences, Computer Science - Machine Learning, autoregression, DATA processing & computer science, Zeitreihenvorhersage, deep learning, Machine Learning (stat.ML), Datenbereinigung, Machine Learning (cs.LG), wind power curve, Statistics - Machine Learning, FOS: Electrical engineering, electronic engineering, information engineering, Leistungskurve, time series forecasting, Electrical Engineering and Systems Science - Signal Processing, data cleaning, redispatch

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2412.00423
https://publikationen.bibliothek.kit.edu/1000185647
https://doi.org/10.5445/IR/1000185647
https://publikationen.bibliothek.kit.edu/1000185647/167996717

AlphaFL: Secure Aggregation with Malicious2 Security for Federated Learning against Dishonest Majority

Autoren: Jiang, Yufan Zarezadeh, Maryam Dai, Tianxiang et al.

Quelle: Proceedings on Privacy Enhancing Technologies, 2025 (4), 348–368

Schlagwörter: ddc:004, DATA processing & computer science

Dateibeschreibung: application/pdf

Zugangs-URL: https://publikationen.bibliothek.kit.edu/1000183435/162894380
https://publikationen.bibliothek.kit.edu/1000183435
https://doi.org/10.5445/IR/1000183435

Aimless Onions: Mixing without Topology Information

Autoren: Schadt, Daniel Coijanovic, Christoph Strufe, Thorsten

Quelle: Proceedings on Privacy Enhancing Technologies, 2025 (4), 293–307

Schlagwörter: ddc:004, DATA processing & computer science

Dateibeschreibung: application/pdf

Uncertainty Quantification and The Need for Better Understanding of Monte Carlo and Random Number Generation

Autoren: Darijani, Ali

Quelle: Proceedings of the 2024 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory. :19-32

Schlagwörter: ddc:004, DATA processing & computer science

Dateibeschreibung: application/pdf

Portest: Port Scan Detection on Non-Programmable Switches using TCAM and Randomized Algorithm

Autoren: Timon Krack Martina Zitterbart

Quelle: Proceedings of the 1st Workshop on Next-Generation Network Observability. :51-57

Schlagwörter: ddc:004, Port Scan Detection, Cardinality Estimation, DATA processing & computer science, TCAM, Network Switches

Dateibeschreibung: application/pdf

Zugangs-URL: https://publikationen.bibliothek.kit.edu/1000184186
https://doi.org/10.5445/IR/1000184186
https://publikationen.bibliothek.kit.edu/1000184186/164469859

Investigating the Effects of T-Wise Interaction Sampling for Vulnerability Discovery in Highly-Configurable Software Systems

Autoren: Tim Bächle Erik Hofmayer Christoph König et al.

Quelle: Proceedings of the 29th ACM International Systems and Software Product Line Conference - Volume A. :45-56

Schlagwörter: ddc:004, DATA processing & computer science, T-Wise Interaction Sampling, Static Analysis, Combinatorial Interaction Testing, Vulnerability Discovery, Software Product Lines

Dateibeschreibung: application/pdf

Zugangs-URL: https://publikationen.bibliothek.kit.edu/1000184707
https://doi.org/10.5445/IR/1000184707
https://publikationen.bibliothek.kit.edu/1000184707/165592241

Generalized Adversarial Code-Suggestions: Exploiting Contexts of LLM-based Code-Completion

Autoren: Karl Rubel Maximilian Noppel Christian Wressnegger

Quelle: Proceedings of the 20th ACM Asia Conference on Computer and Communications Security. :358-374

Schlagwörter: ddc:004, Computer Science - Cryptography and Security, DATA processing & computer science

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2410.10526
https://publikationen.bibliothek.kit.edu/1000186549/169169311
https://publikationen.bibliothek.kit.edu/1000186549
https://doi.org/10.5445/IR/1000186549

Artificial Moral Agents: Should Machines Take Ethical Responsibility?

Autoren: Reiter, Patrick Norman, Utku Weinberger, Nora et al.

Quelle: 2025 IEEE International Conference on Advanced Robotics and its Social Impacts (ARSO). :218-224

Schlagwörter: ddc:004, AI Governance, Responsible Robotics, Artificial Moral Agents, DATA processing & computer science, Autonomous Decision-Making, Ethical AI, Stakeholder Trust, Machine Ethics

Dateibeschreibung: application/pdf

Zugangs-URL: https://publikationen.bibliothek.kit.edu/1000183949
https://doi.org/10.5445/IR/1000183949
https://publikationen.bibliothek.kit.edu/1000183949/163755403

'AI is from the devil.' Behaviors and Concerns Toward Personal Data Sharing with LLM-based Conversational Agents

Autoren: Zufferey, Noé Abdelwahab Gaballah, Sarah Marky, Karola et al.

Quelle: Proceedings on Privacy Enhancing Technologies. 2025:5-28

Schlagwörter: LLM, Conversational agent, HCI, Data processing, computer science, Privacy, Chatbot