Three established research pipelines

Human-aware, accessible, and adaptive intelligent systems.

BAT Lab research examines how people interact with intelligent systems, how technology can accommodate differences across users, and how interfaces can adapt their communication and behavior in real time.

BAT Lab research ecosystem

Three research areas. One human-centered agenda.

We study how intelligent technology understands people, broadens access, and communicates through adaptive interfaces.

Collaborative intelligence

Human–Intelligent Systems Interaction

Understanding how people and intelligent systems share information, control, and responsibility.

Human-aware

  • Mental States
  • Trust
  • Wellbeing

Intelligent Systems

  • Automated Vehicles
  • Smart Office
  • Smart Home

Empowering access

Assistive Technology & Accessibility

Designing technology across age, ability, sensory function, cognition, and mobility.

Aging and Disability

  • Non-chronological age
  • Cognitive impaired
  • Hearing impaired
  • Mobility impaired

Assistive Technology

  • Mobility
  • Smart workplace
  • Healthcare robotics
  • Personalized education

Seamless interaction

Adaptive Human–Machine Interfaces

Adapting how intelligent systems communicate according to the user and real-time context.

Multimodal HMIs

  • Visual Display
  • Auditory Display
  • Tactile Display

AI-Driven

  • Adaptive
  • Real-time
  • Wearable

Emerging connections

Ideas that travel across the research areas

Collaboration framework

Triadic Human-AI Collaboration Framework

The framework describes real-time collaboration through Advisor, Co-Pilot, and Guardian roles. It also informs when adaptive human–machine interfaces interfaces should explain, share control, or intervene.

Explore

Expanding direction

Embodied Intelligence

Embodied intelligence places AI within physical systems that sense, communicate, and act. Current applications include mobility, education, smart homes, workplaces, and assistive technology.

Research outcomes
  • Safety
  • Performance
  • Accessibility
  • Well-being

Research questions

Explore one research area at a time.

Each area is anchored by a distinct set of questions about how intelligent systems understand people, broaden access, and adapt in context.

Human–Intelligent Systems Interaction

This pipeline examines how people interact and collaborate with automated and AI-enabled systems, particularly in time- and safety-critical settings. Current work studies human states, trust, well-being, and the transfer of roles between people and intelligent systems.

  • Human-state estimation
  • Trust and well-being
  • Human-AI roles
  • Intelligent mobility
  • Smart environments

Current research questions

  • How can intelligent systems estimate human state without creating unnecessary burden?
  • When should AI provide information, share control, or intervene?
  • How can people and intelligent systems transfer responsibility clearly?

Research network

Research grows through collaboration.

We work with academic, public, nonprofit, and industry partners to translate human-centered research into practical impact.