Cognitive Control Modes and Mental Workload: An Experimental Approach

被引:3
作者
Rauffet, Philippe [1 ]
Said, Farida [2 ]
Laouar, Amine [1 ,3 ]
Chauvin, Christine [1 ]
Bressolle, Marie-Christine [3 ]
机构
[1] Univ Bretagne Sud, Lab STICC, 17 Bd Flandres Dunkerque, Lorient, France
[2] Univ Bretagne Sud, LMBA, 17 Bd Flandres Dunkerque, Lorient, France
[3] Airbus, IYDN Dept, Toulouse, France
来源
PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON COMPUTER-HUMAN INTERACTION RESEARCH AND APPLICATIONS (CHIRA) | 2020年
关键词
Cognitive Control Modes; Mental Workload; MATB; fNIRS; HUMAN-PERFORMANCE;
D O I
10.5220/0010011600170026
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
This study aims to examine the relationships between cognitive control modes and mental workload. It uses the Multi-Attribute Task Battery (MATB-II) microworld, which reproduced tasks carried out in an aircraft. Twenty participants performed a main task in different conditions defined by the level of complexity and the absence or presence of a secondary task. Two types of physiological data were considered as indicative of mental strain: cardiac activity and oxygenation and deoxygenation of the prefrontal cortex. Besides a classic relationship between mental stress and mental strain, this study draws attention to a relationship between the level of complexity and the control modes, which is highly significant for the tactical mode. Furthermore, this mode is associated with a significantly lower oxygen concentration than that found in the other modes, indicating lower mental strain. Hence, in this study, the tactical mode is found to be the most efficient one, since it is associated with a satisfying performance and with low mental strain. It is also the most impacted by task complexity. This finding should prompt an investigation of possible ways of supporting this mode in naturalistic situations.
引用
收藏
页码:17 / 26
页数:10
相关论文
共 31 条
[1]  
Bates D., 2012, LME4 LINEAR MIXED EF, DOI DOI 10.1007/978-1-4614-3900-4
[2]   EEG-Based Cognitive Control Behaviour Assessment: an Ecological study with Professional Air Traffic Controllers [J].
Borghini, Gianluca ;
Arico, Pietro ;
Di Flumeri, Gianluca ;
Cartocci, Giulia ;
Colosimo, Alfredo ;
Bonelli, Stefano ;
Golfetti, Alessia ;
Imbert, Jean Paul ;
Granger, Geraud ;
Benhacene, Railane ;
Pozzi, Simone ;
Babiloni, Fabio .
SCIENTIFIC REPORTS, 2017, 7
[3]   The variable nature of cognitive control: a dual mechanisms framework [J].
Braver, Todd S. .
TRENDS IN COGNITIVE SCIENCES, 2012, 16 (02) :106-113
[4]  
Camm AJ, 1996, CIRCULATION, V93, P1043
[5]   Influences of age, mental workload, and flight experience on cognitive performance and prefrontal activity in private pilots: a fNIRS study [J].
Causse, Mickael ;
Chua, Zarrin K. ;
Remy, Florence .
SCIENTIFIC REPORTS, 2019, 9 (1)
[6]   Mental workload and neural efficiency quantified in the prefrontal cortex using fNIRS [J].
Causse, Mickael ;
Chua, Zarrin ;
Peysakhovich, Vsevolod ;
Del Campo, Natalia ;
Matton, Nadine .
SCIENTIFIC REPORTS, 2017, 7
[7]   A NEUROERGONOMICS PERSPECTIVE ON MENTAL WORKLOAD PREDICTIONS IN JENS RASMUSSEN'S SRK FRAMEWORK [J].
Cegarra, J. ;
Baracat, B. ;
Calmettes, C. ;
Matton, N. ;
Capa, R. L. .
TRAVAIL HUMAIN, 2017, 80 (01) :7-22
[8]   Does the Type of Visualization Influence the Mode of Cognitive Control in a Dynamic System? [J].
Chauvin, Christine ;
Said, Farida ;
Langlois, Sabine .
INTELLIGENT HUMAN SYSTEMS INTEGRATION 2019, 2019, 903 :751-757
[9]  
DIN, 2018, 100751 DIN EN ISO
[10]   Using near infrared spectroscopy and heart rate variability to detect mental overload [J].
Durantin, G. ;
Gagnon, J. -F. ;
Tremblay, S. ;
Dehais, F. .
BEHAVIOURAL BRAIN RESEARCH, 2014, 259 :16-23