Human Response Delay Estimation and Monitoring using Gamma Distribution Analysis

Zhang, Yu and Martinez-Garcia, Miguel and Gordon, Timothy (2018) Human Response Delay Estimation and Monitoring using Gamma Distribution Analysis. In: 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC2018), 7-10 Oct. 2018, Miyazaki, Japan.

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Human Response Delay Estimation and Monitoring using Gamma Distribution Analysis

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Abstract

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.

Keywords:human-machine systems, response delay, manual-control, Gamma distribution, online parameter estimation, shared-control
Subjects:G Mathematical and Computer Sciences > G340 Statistical Modelling
G Mathematical and Computer Sciences > G700 Artificial Intelligence
G Mathematical and Computer Sciences > G440 Human-computer Interaction
Divisions:College of Science > School of Engineering
ID Code:33803
Deposited On:18 Oct 2018 14:12

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