Physiological Assessment of Human-Machine Teaming

Workshop exploring physiological and cognitive assessment during human-machine collaboration, including EEG, eye tracking, and real-time methods across domains such as aviation and search and rescue.

Overview

This workshop emphasizes the essential concept of physiological assessment of human-machine collaboration. We explore how individuals share cognitive and physiological states during interactions with intelligent autonomous systems.

The session covers traditional models typically used to measure cognitive states, while also introducing new techniques for real-time assessment — such as physiological metrics that maintain task continuity.

Topics include:

• Human information-processing frameworks from both individual and team perspectives
• Application domains: aviation and search and rescue
• Physiological data (EEG and eye tracking) for assessing cognitive and neurophysiological states
• Relationships between physiological markers and key human–machine teaming constructs: trust, mental workload, and task performance

Format

The workshop begins with short presentations from members of the organizing team sharing their ongoing research on physiological assessments of human–machine teaming. This is followed by guided small-group discussions, with each group sharing key insights with the broader audience to compare perspectives, surface challenges, and identify common themes and open questions.

Who Should Attend

Researchers and graduate students working in human factors, human–AI interaction, autonomy, and related fields.