University of Illinois Urbana-Champaign

Across two independent auditory event-related potential VR studies, deep models classifying cybersickness-related discomfort repeatedly flagged the same scalp regions, left frontal, central and right parietal, and an early window roughly 80 to 260 milliseconds after the stimulus. Interpretability maps attributed each model decision to specific electrodes and time steps, and related patterns appeared in data collected in different countries with different headsets, EEG systems and VR tasks. Cross-subject generalization stayed limited, while per-subject calibration raised accuracy sharply, so these features are best treated as testable candidate markers.

Across two independent auditory event-related potential VR studies, deep models classifying cybersickness-related discomfort repeatedly flagged the same scalp regions, left frontal, central and right parietal, and an early window roughly 80 to 260 milliseconds after the stimulus. Interpretability maps attributed each model decision to specific electrodes and time steps, and related patterns appeared in data collected in different countries with different headsets, EEG systems and VR tasks. Cross-subject generalization stayed limited, while per-subject calibration raised accuracy sharply, so these features are best treated as testable candidate markers.

In the context of family caregivers of people living with Alzheimer's Disease and Related Dementias (ADRD), this work compares caregiver support exchanges from online communities with peer-like responses prompted from three LLMs (LLaMA, GPT-4o-mini, and MedGemma), using psycholinguistic and qualitative analysis to show that peer responses used significantly more first-person and past-focused language than peer-like AI responses, identifies seven types of personal narratives in human peer support, and finds that AI often captures their emotional work while potentially fabricating experiential grounding, thereby naming a narrative authenticity gap and a synthetic lived experience paradox.

In the context of family caregivers of people living with Alzheimer's Disease and Related Dementias (ADRD), this work compares caregiver support exchanges from online communities with peer-like responses prompted from three LLMs (LLaMA, GPT-4o-mini, and MedGemma), using psycholinguistic and qualitative analysis to show that peer responses used significantly more first-person and past-focused language than peer-like AI responses, identifies seven types of personal narratives in human peer support, and finds that AI often captures their emotional work while potentially fabricating experiential grounding, thereby naming a narrative authenticity gap and a synthetic lived experience paradox.