Safety Mining Industry

Compared with other industries, the mining industry represents a particularly hazardous work environment. Empirical findings show that employees in mining, compared with other industrial sectors, have a significantly increased risk of fatal workplace accidents (Feyer et al., 2001). Accidents involving non-fatal injuries also occur frequently in mining. In addition to the substantial physical and psychological strain on affected workers, such accidents represent a relevant economic factor, for example through production downtime, medical costs, and follow-up costs for companies and insurance systems (cf. Leigh et al., 2004). Accordingly, there has long been interest in reducing accident risk in mining through targeted preventive measures.

In the scientific literature, the occurrence of accidents in occupational contexts is usually modeled as a complex interaction of environmental conditions, organizational and social framework conditions, and individual influencing factors. A meta-analysis by Wang et al. (2023), including 51 studies on health- and safety-promoting behavior among miners, showed that structural and organizational measures in particular, such as personal protective equipment, noise reduction, and safety training, make a central contribution to improving safety.

Psychological factors are typically located sociologically within the context of organizational conditions in this field of research, particularly in the form of safety-related knowledge, attitudes, and behavior. Systemic analyses of accident events in mining show that individual human errors are usually not the primary cause, but rather the final link in a longer causal chain: on an individual-psychological explanatory level, insufficient professional, cognitive, and psychomotor competence can be understood as distal predictors (Lenné et al., 2012), and fatigue (Bauerle et al., 2018) as proximal triggers of mining accidents. A meta-analytic path model on general occupational safety showed that systematic overstrain of workers through fatigue can lead to a reduction of cognitive resources, which in turn increases the probability of errors, injuries, and accidents (Techera et al., 2016). In addition, accidents may also result from intentional violations of safety standards, often with the intention of increasing productivity. At the organizational level, this may be attributed to management pressure or an insufficient safety culture, and at the individual level, for example, to safety-relevant personality traits (Lenné et al., 2012). In this sense, mining accidents cannot be explained solely by systemic-organizational factors, but are also linked to the current and dispositional ability, personality, as well as safety-related knowledge and attitudes of the acting individuals. Psychological aptitude testing therefore does not aim to replace organizational responsibility for operational safety, but provides complementary information about whether basic prerequisites for safety-relevant behavior are present.

Despite operational diversity, safety-relevant activities in the mining industry can be categorized into three central occupational groups according to their requirements: Mining Vehicle Operators, Mining Machine Operators, and Mining Technicians. This is also reflected in official documents of resource-producing countries, such as Zimbabwe’s Mining Career Guide, which differentiates between these three groups in addition to support workers and sales staff (MQA, 2018).

The weighting and selection of the dimensions included in the present Test Solutions are therefore based on available empirical evidence on general and mining-specific operational safety, as well as on the requirement-related relevance of each dimension for the safe and competent execution of the respective occupational groups. In addition, the authors of this document had access to samples from several South African mining companies, including “Mining Vehicle Operators” (n = 325) and “Mining Machine Operators” (n = 341). Using these data, the number of workplace accidents involving injuries could be related to cognitive performance measures at the time of hiring. Personality traits were included as a complementary component with lower weighting, as they are associated with safety-relevant behavior and accident frequency in the empirical literature, but play a subordinate role compared with organizational and performance-related factors and may additionally be subject to linguistic or cultural limitations depending on the application context, which can compromise test fairness.

Accordingly, for the present Test Solutions, both a standard version without personality and a version with personality are offered for different application contexts. Overall, the selection and weighting of dimensions follow the goal of ensuring both accident prevention and suitability for safe, reliable, and competent performance in the respective occupations. The requirements, empirical evidence of validity, and the resulting selection and weighting of dimensions are described below for each occupational group.

Mining Vehicle Operators

Mining Vehicle Operators are responsible for driving locomotives and other heavy transport vehicles used to move ore, materials, and equipment within the mine. The work is characterized by dynamic, time-critical hazard situations in which safety-relevant events often occur unexpectedly. Work phases in which people regularly cross driving routes or rail tracks are particularly safety-critical. At the same time, work takes place in a noisy environment with high visual and auditory demands, limited visibility, and changing environmental conditions. Mining Vehicle Operators must continuously monitor their surroundings, detect relevant hazard signals early, and execute steering or braking maneuvers precisely. Errors or delays can immediately lead to severe accidents. This requirement profile implies a high relevance of basic cognitive functions, as also described in traffic psychology research on driving safety.

For Mining Vehicle Operators, stable reaction performance under strain is particularly safety-relevant. Empirical findings from the mining context show that reactive stress tolerance demonstrates the most consistent relationships with accident and injury events across different accident criteria (Vorster et al., 2011; Aguilera-Vanderheyden, 2013). In the present sample of Mining Vehicle Operators (n = 325), a clear relationship was also found between reactive stress tolerance and the total number of injuries (Spearman ρ = .28). In contrast, simple reaction speed was not a significant predictor of accident events in the studies by Aguilera-Vanderheyden (2013), Vorster et al. (2011), or in the present sample, although traffic psychology meta-analyses show that simple reaction speed generally has moderate associations with safe driving behavior (Stefanidis et al., 2023).

In addition, operating heavy mining vehicles requires reliable obtaining an overview, a working-memory-related ability needed to detect relevant signals, movements of persons, and hazard cues early. Studies with professional drivers in hazard courses show clear relationships between obtaining an overview and driving behavior (r = .25; Vetter et al., 2018), while broader systematic reviews emphasize the central role of working memory performance and attentional control for safe driving under complex conditions (Pergantis et al., 2024; Zhang et al., 2023). The data from the present sample also show relationships between safety-relevant criteria and concentration performance (ρ = .13) as well as eye-hand coordination (ρ = .21), underlining the importance of stable attention control and precise sensorimotor execution under real working conditions.

As discussed above, personality traits complement cognitive performance measures insofar as they are not prerequisites for safety behavior but dispositionally influence the likelihood of intentional violations of safety standards or rules. Findings on general occupational safety show that personality traits such as emotional stability (r = .15), conscientiousness (r = .22), internal locus of control (r = .20), and low risk-taking (r = .16) are consistently associated with workplace accidents and injuries (Christian et al., 2009). This aligns with findings on driving-related personality, which show associations in on-road driving tests of professional drivers for sense of responsibility (Pearson r = .29) and self-control (r = .17). These personality traits are therefore understood as distal individual influencing factors that may provide complementary indications of safety-relevant behavior when operating vehicles in occupational contexts.

Therefore, the Test Solution “Mining Vehicle Operators” consists of the following tests:

• Reactive stress tolerance (DT)

• Ability to react (motor speed) (RT)

• Ability to concentrate (TACO)

• Obtaining an overview (ATAVT-2): right-hand or left-hand traffic

• Eye-hand coordination (2HAND)

• Optional: Driving-related personality (IVPE-R): mental stability, sense of responsibility, self-control, and risk avoidance

The table below provides a complete overview of the specific weightings of the individual tests used to calculate the overall score for the Test Solution “Mining Vehicle Operators”.

Further information on the calculation and interpretation of testing results can be found on the page: Notes on evaluation and interpretation.

The total test duration of the Test Solution “Mining Vehicle Operators” is approximately 45 minutes and is reduced to 33 minutes if personality assessment is omitted. In addition, two variants are available for right-hand and left-hand traffic due to the traffic scenes shown in ATAVT-2.

Mining Machine Operators

Mining Machine Operators operate various heavy machines, including rock drilling machines, scraper and drum winches, loading machines, and many others. The activities are often characterized by repetitive, methodical operating actions over extended periods. Safety-critical situations arise particularly in cases of loss of concentration, faulty coordination, or delayed reactions to unexpected events. Work usually takes place in spatially confined areas under high environmental strain from noise, vibrations, and distractions. The focus is therefore on stable and controlled machine operation under strain. These requirements highlight the importance of maintaining attention and readiness to react even under monotonous or demanding conditions.

For Mining Machine Operators, empirical evidence also shows that reactive stress tolerance is the central cognitive predictor of safety-relevant behavior (Vorster et al., 2011; Aguilera-Vanderheyden, 2013). In the present sample (n = 341), a significant relationship was found between reactive stress tolerance and the total number of injuries (Spearman ρ = .17). Motor reaction speed is additionally relevant because it enables timely execution of safety-relevant actions, with a similar association observed in the sample (ρ = .17). Operating complex machinery under spatially restricted and sensorily demanding conditions also requires obtaining an overview in order to reliably detect relevant cues, warning signals, or movements in the work environment. Although mining-specific findings are currently lacking, studies from the construction industry show that working memory load significantly affects the detection of safety-relevant stimuli (Liko et al., 2020). Another key requirement is the ability to concentrate, as attention must be maintained over longer periods and omission errors in repetitive tasks must be avoided; here too, a relationship with safety-relevant criteria was found in the present sample (ρ = .17). These findings align with results from vigilance and fatigue research identifying attention and concentration performance as central mediators between workload and error proneness (Bauerle et al., 2018; Techera et al., 2016).

Personality traits may also provide additional indications of safety-relevant behavior: a meta-analysis on occupational safety found consistent relationships of conscientiousness (ρ = .26) and emotional stability (ρ = .19) with accident and injury rates, whereas extraversion showed clearly lower relevance (Christian et al., 2009).

Therefore, the Test Solution “Mining Machine Operators” consists of the following tests:

• Reactive stress tolerance (DT)

• Ability to react – motor time (RT)

• Obtaining an overview / Visual attention (ATAVT-2)

• Ability to concentrate (TACO)

• Optional: Big Five personality (FCB5): conscientiousness and emotional stability

The table below provides a complete overview of the specific weightings of the individual tests used to calculate the overall score for the Test Solution “Mining Machine Operators”.

Further information on the calculation and interpretation of testing results can be found on the page: Notes on evaluation and interpretation.

The Test Solution “Mining Machine Operators” has a total duration of approximately 40 minutes, or 28 minutes without personality assessment.

Mining Technicians

Mining Technicians frequently work in collaboration with engineers in the planning, monitoring, maintenance, and analysis of technical systems (cf. MQA, 2018). Their work is less characterized by continuous control or routine tasks and more by technical problem solving, diagnosis, and decision-making in electrical and mechanical domains, for example in the repair and maintenance of complex equipment and machinery. Errors often have indirect effects but may involve considerable hazard and damage potential for people, equipment, and the environment.

According to the findings discussed above, the basic cognitive prerequisites for operational safety are primarily reactive stress tolerance and ability to concentrate (cf. Vorster et al., 2011; Aguilera-Vanderheyden, 2013; Bauerle et al., 2018). Eye-hand coordination additionally reflects the technical dexterity described in the requirement profile, which is necessary for precise interventions, adjustments, and maintenance work. Furthermore, the literature shows that higher cognitive abilities are associated with occupational and training success, including mechanical-technical comprehension, spatial visualization ability, and logical reasoning (cf. Nye et al., 2022; Berkowitz & Stern, 2018). Personality traits can optionally provide additional indications of safety-relevant behavior, particularly emotional stability and conscientiousness (cf. Christian et al., 2009), which are also consistently linked to occupational success beyond accident prevention (He et al., 2019).

Therefore, the Test Solution “Mining Technicians” consists of the following tests:

• Reactive stress tolerance (DT)

• Eye-hand coordination (2HAND)

• Logical reasoning (INT)

• Spatial visualization ability (INT)

• Mechanical-technical comprehension (MECH)

• Ability to concentrate (TACO)

• Optional: Big Five personality (FCB5): Conscientiousness and Emotional stability

The table below provides a complete overview of the specific weightings of the individual tests used to calculate the overall score for the Test Solution “Mining Technicians”. Due to the lack of specific empirical validation data from the mining industry, the described cognitive performance measures are weighted equally in the calculation of the overall score. Further information on the calculation and interpretation of testing results can be found on the page: Notes on evaluation and interpretation.

Due to the extended cognitive requirements, the total test duration is approximately 69 minutes, reduced to 57 minutes without personality assessment.

References can be found here: Literature