Modelling attention allocation and takeover performance in two-stage takeover system via a cognitive computational model: considering the role of multiple monitoring requests.
Studies have demonstrated two-stage takeover systems' feasibility and advantages. However, existing cognitive models mainly focus on simulating drivers' performance in single-stage takeover systems, with limited insights into cognitive modelling of effects of monitoring requests (MRs) within two-sta...
| Publicado en: | Ergonomics Vol. 67; no. 11; pp. 1504 - 1524 |
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| Autores principales: | , , , |
| Formato: | equations & formulas pictorial research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Nov2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=181135550&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 181135550 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00140139 ERO jtl: Ergonomics issn: 00140139 maglogo: Y pubinfo: dt: Nov2024 vid: 67 iid: 11 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 181135550 176485442 181135550 181135550 10.1080/00140139.2024.2340671 181135550 ppf: 1504 ppct: 20 formats: tig: atl: Modelling attention allocation and takeover performance in two-stage takeover system via a cognitive computational model: considering the role of multiple monitoring requests. aug: au: Guo, Lie Wang, Xu Xu, Linli Guan, Longxin affil: School of Mechanical Engineering, Dalian University of Technology, Dalian, China sug: subj: Automobile Driving Automation Computer Simulation Cognition Attention Task Performance and Analysis Human Experimental Studies Sample Size Determination Effect Size Eye Movements One-Way Analysis of Variance Repeated Measures Post Hoc Analysis Data Analysis Software Descriptive Statistics Funding Source ab: Studies have demonstrated two-stage takeover systems' feasibility and advantages. However, existing cognitive models mainly focus on simulating drivers' performance in single-stage takeover systems, with limited insights into cognitive modelling of effects of monitoring requests (MRs) within two-stage takeover systems. This study constructed a cognitive computational model for two-stage takeover systems based on queueing network-adaptive control of thought rational (QN-ACTR) architecture. Our model aims to capture variations in drivers' attention allocation and takeover performance resulting from different MR experiences. Five components, representing distinct cognitive processes, were designed to closely align with drivers' behavioural patterns. This model was validated through an experiment using metrics such as percentage time in road-centre and takeover time. Results revealed significant concordance between the model predictions and experimental data, with R-squared ≥ 0.76, RMSE ≤ 0.41, and MAPE ≤ 15%. The findings of this work extended beyond the two-stage takeover system investigation to include human factor modelling. PRACTITIONER SUMMARY: To provide insights into modelling the effects of monitoring requests in two-stage takeover systems, a cognitive computational model was developed to simulate driver behaviour. An experiment was conducted to validate the model's predictive performance. The quantisation relation between warning signals and driver performance can be calculated through the proposed model. pubtype: Academic Journal doctype: equations & formulas pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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