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HUMANS · AUTOMATION · DECISIONS

Air Traffic Decision VR Lab

An Immersive Approach to Decision Making and Trust in Automation

Preparing the airfield…
STEP INTO THE ENVIRONMENT

A clear runway.
A changing picture.

An arrival. A holding aircraft.
A decision that cannot stand still.

25-second experience

A fictional, compressed scenario. The research environment and its trials are more extensive.

THE IDEA

When do we trust?
When do we look again?

An automated adviser makes a recommendation. The human still has to understand a world that keeps changing.

We’re exploring when people accept that advice, seek more information, or intervene—and how competing demands shape those choices.

THE ENVIRONMENT

One airfield.
Many demands.

A Unity simulation brings aircraft, ground vehicles and automated advice into the same field of attention.

The desktop prototype is the starting point for a planned VR environment with synchronised eye tracking and interaction recording.

The advice

Recommendation, explanation, reliability.

The response

Attention, verification, decision, action.

RESEARCH VARIABLES

Change the conditions.
Study the decision.

Three planned lines of inquiry.
Select one to explore.

THE QUESTION

What gets checked when attention is divided?

Vary concurrent requests and visual or auditory secondary tasks to examine how competing demands affect verification of automated advice.

What changes
Request concurrency and secondary-task modality.
What we observe
Information consultation, verification, decision timing and subsequent actions.

Does the operator have time—and attention—to look again?

CONNECTING THE EVIDENCE

More than where
someone looks.

Attention

Gaze allocation and information consultation.

Behaviour

Verification, advisory decisions and intervention timing.

Experience

Subjective trust alongside actions and outcomes.

Gaze alone does not establish understanding or trust. The planned studies bring these measures together.

THE NEXT QUESTION IS HUMAN

Every second changes
the picture.

Designing environments to study how we keep up.

Talk to the lab Next project: FLIDIS