The 4D LINT model of function allocation

Spatial-temporal arrangement and levels of automation

Conference paper (2018)

Authors

Christopher D.D. Cabrall Intelligent Vehicles - Mechanical, Maritime and Materials Engineering
T.B. Sheridan Massachusetts Institute of Technology
T Prevot Uber technologies Inc.
J. C F de Winter Biomechatronics & Human-Machine Control - Mechanical, Maritime and Materials Engineering
Riender Happee Intelligent Vehicles - Mechanical, Maritime and Materials Engineering
Research Group
Intelligent Vehicles (Mechanical, Maritime and Materials Engineering) (TU Delft)
Copyright: © 2018 C.D.D. Cabrall, T.B. Sheridan, T Prevot, J.C.F. de Winter, R. Happee
DOI: https://doi.org/10.1007/978-3-319-73888-8_6
More Info
expand_more

Published Date

2018

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Faculty

Mechanical, Maritime and Materials Engineering

Department

Cognitive Robotics

Research Group

Intelligent Vehicles

Abstract

Human factors researchers are well familiar with Sheridan and Verplank’s (1978) ‘levels of automation’. Although this automation dimension has proved useful, the last decade has seen a vast increase of automation in different forms, especially in transportation domains. To capture these and future developments, we propose an extended automation taxonomy via additional dimensions. Specifically, we propose a 4D LINT representation for vehicle operation regarding control across multiple simultaneous dimensions of (1) Location (from local to remote), (2) Identity (between human and computer), (3) Number of agents (degree of centralization of control), as well as (4) adaptive optimization over Time. Our model aims to provide guidance and support in communicable ways to allocation authority agents (whether human or computer) in optimized supervisory outer loop control of complex and intelligent dynamic systems for more efficient, safe, and robust transportation operations

Files

Cabrall2018ihsi_2.pdf
(pdf | 0.177 Mb)
Unknown license

Download not available

Cabrall2018_Chapter_The4DLINTM... (pdf)
(pdf | 0.395 Mb)
- Embargo expired in 01-07-2018
Unknown license