Identifying risk controls for future advanced brain-computer interfaces: A prospective risk assessment approach using work domain analysis

Brandon J. King; Gemma J.M. Read; Paul M. Salmon

doi:10.1016/j.apergo.2023.104028

Back

Identifying risk controls for future advanced brain-computer interfaces: A prospective risk assessment approach using work domain analysis

Journal article

Peer reviewed

Identifying risk controls for future advanced brain-computer interfaces: A prospective risk assessment approach using work domain analysis

Brandon J. King, Gemma J.M. Read and Paul M. Salmon

Applied Ergonomics, Vol.111, pp.1-11

2023

DOI: https://doi.org/10.1016/j.apergo.2023.104028

PMID: 37148587

Files and links (1)

url

https://doi.org/10.1016/j.apergo.2023.104028View

Published Version

Abstract

Brain-computer interfaces

Risk assessment

System modelling

Brain-computer interface (BCI) technologies are progressing rapidly and may eventually be implemented widely within society, yet their risks have arguably not yet been comprehensively identified, nor understood. This study analysed an anticipated invasive BCI system lifecycle to identify the individual, organisational, and societal risks associated with BCIs, and controls that could be used to mitigate or eliminate these risks. A BCI system lifecycle work domain analysis model was developed and validated with 10 subject matter experts. The model was subsequently used to undertake a systems thinking-based risk assessment approach to identify risks that could emerge when functions are either undertaken sub-optimally or not undertaken at all. Eighteen broad risk themes were identified that could negatively impact the BCI system lifecycle in a variety of unique ways, while a larger number of controls for these risks were also identified. The most concerning risks included inadequate regulation of BCI technologies and inadequate training of BCI stakeholders, such as users and clinicians. In addition to specifying a practical set of risk controls to inform BCI device design, manufacture, adoption, and utilisation, the results demonstrate the complexity involved in managing BCI risks and suggests that a system-wide coordinated response is required. Future research is required to evaluate the comprehensiveness of the identified risks and the practicality of implementing the risk controls.

Details

Title: Identifying risk controls for future advanced brain-computer interfaces: A prospective risk assessment approach using work domain analysis
Authors: Brandon J. King (Corresponding Author) - University of the Sunshine Coast, Queensland, Centre for Human Factors and Sociotechnical Systems
Gemma J.M. Read (Author) - University of the Sunshine Coast, Queensland, Centre for Human Factors and Sociotechnical Systems
Paul M. Salmon (Author) - University of the Sunshine Coast, Queensland, Centre for Human Factors and Sociotechnical Systems
Publication details: Applied Ergonomics, Vol.111, pp.1-11
Publisher: Elsevier Ltd
DOI: 10.1016/j.apergo.2023.104028
ISSN: 1872-9126
PMID: 37148587
Organisation Unit: Centre for Human Factors and Sociotechnical Systems; School of Health - Psychology; University of the Sunshine Coast, Queensland
Language: English
Record Identifier: 99723798002621
Output Type: Journal article

Metrics

16 Record Views

3 Times Cited - Web of Science

See more details

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Web Of Science research areas: Engineering, Industrial; Ergonomics; Psychology, Applied

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

Source: InCites