Automation transparency: implications of uncertainty communication for human-automation interaction and interfaces.

Alexander Kunze, Stephen J Summerskill, Russell Marshall, Ashleigh J Filtness
Author Information
  1. Alexander Kunze: a Loughborough Design School , Loughborough University , Loughborough , United Kingdom. ORCID
  2. Stephen J Summerskill: a Loughborough Design School , Loughborough University , Loughborough , United Kingdom.
  3. Russell Marshall: a Loughborough Design School , Loughborough University , Loughborough , United Kingdom.
  4. Ashleigh J Filtness: a Loughborough Design School , Loughborough University , Loughborough , United Kingdom.

Abstract

Operators of highly automated driving systems may exhibit behaviour characteristic for overtrust issues due to an insufficient awareness of automation fallibility. Consequently, situation awareness in critical situations is reduced and safe driving performance following emergency takeovers is impeded. A driving simulator study was used to assess the impact of dynamically communicating system uncertainties on monitoring, trust, workload, takeovers, and physiological responses. The uncertainty information was conveyed visually using a stylised heart beat combined with a numerical display and users were engaged in a visual search task. Multilevel analysis results suggest that uncertainty communication helps operators calibrate their trust and gain situation awareness prior to critical situations, resulting in safer takeovers. In addition, eye tracking data indicate that operators can adjust their gaze behaviour in correspondence with the level of uncertainty. However, conveying uncertainties using a visual display significantly increases operator workload and impedes users in the execution of non-driving related tasks. Practitioner Summary: This article illustrates how the communication of system uncertainty information helps operators calibrate their trust in automation and, consequently, gain situation awareness. Multilevel analysis results of a driving simulator study affirm the benefits for trust calibration and highlight that operators adjust their behaviour according to multiple uncertainty levels.

Keywords

MeSH Term

Adult
Attention
Automobile Driving
Communication
Computer Simulation
Eye Movements
Female
Heart Rate
Humans
Male
Man-Machine Systems
Middle Aged
Multilevel Analysis
Reaction Time
Task Performance and Analysis
Trust
Uncertainty
User-Computer Interface
Workload

Word Cloud

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