Chaplains view AI chatbots as unable to provide attuned pastoral care for non-clinical emotional needs, based on themes of listening, connecting, carrying, and wanting.
Embedding large language models into extended reality: Opportunities and challenges for inclusion, engagement, and privacy,
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AIvaluateXR benchmarks 17 LLMs across four XR platforms on performance, speed, memory and battery metrics and proposes a 3D Pareto optimality method to identify optimal on-device model-device pairs.
A modular XR platform integrates Whisper, NLLB, AWS Polly, RoBERTa, flan-t5, and MediaPipe to deliver real-time multilingual and International Sign support for education, with benchmarks showing AWS Polly's low latency and EuroLLM's higher BLEU score.
citing papers explorer
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Chaplains' Reflections on the Design and Usage of AI for Conversational Care
Chaplains view AI chatbots as unable to provide attuned pastoral care for non-clinical emotional needs, based on themes of listening, connecting, carrying, and wanting.
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AIvaluateXR: An Evaluation Framework for on-Device AI in XR with Benchmarking Results
AIvaluateXR benchmarks 17 LLMs across four XR platforms on performance, speed, memory and battery metrics and proposes a 3D Pareto optimality method to identify optimal on-device model-device pairs.
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AI-Driven Modular Services for Accessible Multilingual Education in Immersive Extended Reality Settings: Integrating Speech Processing, Translation, and Sign Language Rendering
A modular XR platform integrates Whisper, NLLB, AWS Polly, RoBERTa, flan-t5, and MediaPipe to deliver real-time multilingual and International Sign support for education, with benchmarks showing AWS Polly's low latency and EuroLLM's higher BLEU score.