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Found 8 papers, 1 papers with code
Automated Assessment of Encouragement and Warmth in Classrooms Leveraging Multimodal Emotional Features and ChatGPT
Our findings provide insights into using advanced, multimodal techniques for automated classroom observation, aiming to foster teacher training through frequent and valuable feedback.
Embedding Large Language Models into Extended Reality: Opportunities and Challenges for Inclusion, Engagement, and Privacy
Lastly, we speculate that combining the information provided to LLM-powered environments by the users and the biometric data obtained through the sensors might lead to novel privacy invasions.
TurboSVM-FL: Boosting Federated Learning through SVM Aggregation for Lazy Clients
Federated learning is a distributed collaborative machine learning paradigm that has gained strong momentum in recent years.
Eye-tracked Virtual Reality: A Comprehensive Survey on Methods and Privacy Challenges
Latest developments in computer hardware, sensor technologies, and artificial intelligence can make virtual reality (VR) and virtual spaces an important part of human everyday life.
Towards Everyday Virtual Reality through Eye Tracking
With increased usage of this technology and the acclimation of humans to virtual application scenarios, it is possible that in the near future an everyday virtual reality paradigm will be realized.
Differential Privacy for Eye Tracking with Temporal Correlations
New generation head-mounted displays, such as VR and AR glasses, are coming into the market with already integrated eye tracking and are expected to enable novel ways of human-computer interaction in numerous applications.
Reinforcement learning for the privacy preservation and manipulation of eye tracking data
In this paper, we present an approach based on reinforcement learning for eye tracking data manipulation.
Privacy Preserving Gaze Estimation using Synthetic Images via a Randomized Encoding Based Framework
Eye tracking is handled as one of the key technologies for applications that assess and evaluate human attention, behavior, and biometrics, especially using gaze, pupillary, and blink behaviors.
