Events

AC1 Augmented Cognition Meets AI: Enhancing Human Performance with Real-Time, Adaptive, and Trustworthy Intelligence  (Moderator: Jackie Cha)

• Description: This panel explores how advancements in artificial intelligence (AI) are transforming the field of augmented cognition (AC). Traditionally focused on adapting system behavior based on user state, augmented cognition is now expanding into new territory with AI technologies that can sense, interpret, and respond in real time. Emerging AI (e.g., large language models, multimodal machine learning, and generative agents) enables new modes of measurement, prediction, and interaction for AI-based augmented cognition. Panelists will highlight how AC systems differ from earlier automation approaches, offering examples from diverse application domains. Use cases include AI copilots that monitor driver fatigue and distraction, adaptive digital teammates that guide workers through complex tasks, and cognitive assistants that support rapid decision-making in high-pressure environments. The conversation will address key design considerations such as the level of human involvement, how to calibrate interaction, and what AI capabilities are still needed. They will also examine critical implementation challenges, including data privacy, cybersecurity, user trust, and ethical concerns. As AI increasingly acts as a synthetic collaborator, the panel will consider how augmented cognition is defined and applied. They will identify research gaps, propose future directions, and explore how human-AI systems can enhance safety, performance, and decision-making across complex domains.

• Panelist: Michael Hildebrandt, Shuchi Deb, Xiaoyun Yin, Jackie Cha, and Heejin Jeong

Poster Session 2

• Poster ID 292

  • Assessment of Attention in Extended Reality using fNIRS: A Preliminary Literature Review

  • Contributors: Thi Le and HeeSun Choi

• Poster ID 398

  • The Hidden Disparities in Neurophysiological Research: Exploration of Race and Sex

  • Contributors: Chidera Azubike and Eric Greenlee

• Poster ID 425

  • Measuring Mental Demand using Pupil Dilation in Augmented Reality Environments

  • Contributors: Siddarth Mohanty, Jung Hyup Kim, Sara Mostowfi, Fang Wang, Danielle Oprean, Kangwon Seo, and Yi Wang

AC2: Augmented Cognition and Learning (Session Chair: Jason Sanders)

• 4:30 pm - 5:50 pm CDT

  • Pupil Dilation as an Indicator of Debugging Strategy in a Location-Based AR Learning Environment

  • Contributors: Sara Mostowfi, Jung Hyup Kim, Siddarth Mohanty, Fang Wang, Danielle Oprean, Yi Wang, and Kangwon Seo

• 4:50 pm - 5:10 pm CDT

  • Refining Mathematical Task Difficulty for Accurate Mental Workload Estimation

  • Contributors: Jingkun Wang, Dongyang Li, Emily Garcia, Eugenio Frias-Miranda, Zhengming Zhang, and Denny Yu

• 5:10 pm - 5:30 pm CDT

  • Machine Learning Considerations for Trust Predictions in HRI: Examination across Labels, Sex Differences, and Sensor Modalities

  • Contributors: Aakash Yadav and Ranjana Mehta