Literature DB >> 21108080

Cognitive control by brain-injured car drivers: an exploratory study.

Camilo Charron1, Jean-Michel Hoc, Isabelle Milleville-Pennel.   

Abstract

Cognitive control is a key tool for adaptation in dynamic situations. The aim of the study is to assess the relevance of a theoretical framework for cognitive control in dynamic situations, in order to understand brain-injured (BI) car drivers' cognitive impairment. The framework supports a cognitive control multimodality based on the crossing of two orthogonal dimensions: symbolic/subsymbolic; anticipative/reactive control. BI car drivers' behaviour was compared with that of a control group (CTRL) during driving simulator scenarios. Eye movement analysis, among other variables, revealed that BI car drivers made use of a more symbolic and reactive control than did CTRL drivers. CTRL drivers showed a more stable cognitive compromise than BI drivers. The latter became less symbolic and more reactive in the case of difficult scenarios. In addition, BI drivers focused on the main task of trajectory management, with fewer resources devoted to traffic interaction management. STATEMENT OF RELEVANCE: An explanation of differences between BI and CTRL drivers in terms of cognitive control requirements, attention and processing speed is put forward. From this, it is possible to derive some implications in terms of driver assistance (e.g. lane keeping or a warning assistance device) and rehabilitation.

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Year:  2010        PMID: 21108080     DOI: 10.1080/00140139.2010.532880

Source DB:  PubMed          Journal:  Ergonomics        ISSN: 0014-0139            Impact factor:   2.778


  1 in total

1.  Applying machine learning to dissociate between stroke patients and healthy controls using eye movement features obtained from a virtual reality task.

Authors:  Veerle H E W Brouwer; Sjoerd Stuit; Alex Hoogerbrugge; Antonia F Ten Brink; Isabel K Gosselt; Stefan Van der Stigchel; Tanja C W Nijboer
Journal:  Heliyon       Date:  2022-03-31
  1 in total

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