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Human response delay estimation and monitoring using gamma distribution analysis

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conference contribution
posted on 03.08.2021, 15:18 by Eve ZhangEve Zhang, Miguel Martinez-GarciaMiguel Martinez-Garcia, Timothy Gordon
The aim of this paper is to estimate and monitor the human response delay in manual control tasks. A probability distribution analysis is applied on the response delay, based on experimental data collected from human subjects controlling a dynamic system and responding to visually perceived errors via joystick or steering wheel. The distribution analysis includes firstly a sliding segment method, to extract the delay time for each slice of data. Then, probability distributions of the delay time are fitted by using a bootstrap based goodness-of-fit test. For both manual-control cases, with a joystick and a steering wheel respectively, the experimental data can be explained reasonably by a Gamma distribution. Consequently, the Gamma distribution parameters for different human subjects are compared. Based on these findings, an online monitoring method of the level of attention in the human-operator - or applied workload - is proposed, which could be of interest for relevant shared-control applications.

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Published in

2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

Pages

807 - 812

Source

2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

Publisher

IEEE

Version

AM (Accepted Manuscript)

Rights holder

© IEEE

Publisher statement

© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Publication date

2019-01-17

Copyright date

2018

ISBN

9781538666500

eISSN

2577-1655

Language

en

Location

Miyazaki, Japan

Event dates

7th October 2018 - 10th October 2018

Depositor

Dr Eve Zhang. Deposit date: 29 July 2021