5 papers
Partner-Aware Hierarchical Skill Discovery for Robust Human-AI Collaboration
Adnan Ahmad, Bahareh Nakisa, Mohammad Naim Rastgoo
Multi-agent collaboration, especially in human-AI teaming, requires agents that can adapt to novel partners with diverse and dynamic behaviors. Conventional Deep Hierarchical Reinf…
Adaptive Human-AI Coordination via Hierarchical Action Disentanglement
Adnan Ahmad, Bahareh Nakisa, Mohammad Naim Rastgoo
Human-AI collaboration requires agents that can adapt to diverse partner behaviors and skill levels while remaining robust to unseen partners. Existing methods often collapse to a…
Adaptive XAI in High Stakes Environments: Modeling Swift Trust with Multimodal Feedback in Human AI Teams
Nishani Fernando, Bahareh Nakisa, Adnan Ahmad +1
Effective human-AI teaming heavily depends on swift trust, particularly in high-stakes scenarios such as emergency response, where timely and accurate decision-making is critical.…
Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning
Adnan Ahmad, Bahareh Nakisa, Mohammad Naim Rastgoo
Emotion recognition through physiological signals such as electroencephalogram (EEG) has become an essential aspect of affective computing and provides an objective way to capture…
Indoor PM2.5 forecasting and the association with outdoor air pollution: a modelling study based on sensor data in Australia
Wenhua Yu, Bahareh Nakisa, Seng W. Loke +3
Exposure to poor indoor air quality poses significant health risks, necessitating thorough assessment to mitigate associated dangers. This study aims to predict hourly indoor fine…