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...

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Publicado en:Ergonomics Vol. 67; no. 11; pp. 1504 - 1524
Autores principales: Guo, Lie, Wang, Xu, Xu, Linli, Guan, Longxin
Formato: equations & formulas pictorial research tables/charts Journal Article
Publicado: Taylor & Francis Ltd Nov2024
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Nov2024
      vid: 67
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      pub: Taylor & Francis Ltd
      place: Philadelphia, Pennsylvania
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        10.1080/00140139.2024.2340671
        181135550
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        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
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