Abstract
Human remote operators, teaming with Automated Vehicles (AV), will need to be provided information from the AV to make decisions on how, or when, to intervene in the AV operations. As an extension to research into how many AVs an individual can successfully monitor, the authors designed and implemented a human machine interface (HMI) that provided key information on the probability that an AV might need an intervention from a remote operator. A key element of that interface was the provision of feedback indicating if a vehicle was stationary, provided in the form of a timer, and a visual alert given 10s after the vehicle came to a halt. An experiment was conducted into the efficacy of this visual alert, by on occasion removing it from use. It was expected that the absence of the visual alert would lead to more incidents where a remote operator missed a requirement to intervene. However, the results indicated that in the absence of the alert the remote operator was more likely to intervene.This paper examines how elements of the HMI design affected the participants decision to intervene in AV operations, and concludes that by offering transparent system-state feedback, the HMI effectively counters the innate psychological pressure to act, reassuring the operator that inaction can be an appropriate and system-approved response.
| Original language | English |
|---|---|
| Title of host publication | Applied Human Factors and Ergonomics International |
| Subtitle of host publication | Intelligent Human Systems Integration (IHSI 2026): Disruptive and Innovative Technologies |
| Publisher | AHFE Conference |
| Pages | 657-666 |
| Number of pages | 10 |
| Volume | 200 |
| ISBN (Electronic) | 978-1-964867-76-2 |
| DOIs | |
| Publication status | E-pub ahead of print - 1 Feb 2026 |
Bibliographical note
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 LicenseKeywords
- Human autonomy teaming
- Human machine interface
- Remote operations
- Situation awareness
ASJC Scopus subject areas
- Artificial Intelligence
- Human-Computer Interaction
- Management Science and Operations Research
- Engineering (miscellaneous)
- Safety, Risk, Reliability and Quality
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