Aleksandr A. Oboznov

Background. The spatial aspect of professionals’ trust and distrust in socio-technical systems has not been sufficiently explored. The study of its structure, criteria for spatial distribution, and interrelationships of elements is of both scientific and practical interest.

Objective. To perform a comparative analysis of the trust and distrust experienced by professional operators in a socio-technical system of subject–subject and subject–object interactions.

Design. This work is based on A.B. Kupreychenko’s methodological approach to studying trust and distrust in socio-technical systems, adapted by the authors to the railway transport system in Russia. The subjects were 86 locomotive crew members. The main focus was on their trust/distrust in the operation of the socio-technical (railway transport) system, including their workmates, managers, and themselves, as well as the technical objects they operate (locomotives), manufacturers of railway equipment, and conditions of its operation.

Results. The authors identified two relatively independent groups of indicators of trust/distrust in subject–subject and subject–object interactions. Trust in the elements of subject–subject interactions (involving workmates, managers, and the study participants themselves as specialists) was reliably higher than their trust in the elements of subject–object interactions (technical objects, manufacturers of railway equipment, and conditions of its operation). The correlations between trust and distrust in the elements of the socio-technical system were positive.

Conclusions. Trust and distrust perform the functions of integrating/differentiating elements of a socio-technical system according to their predictability in various operating conditions. The degree of trust/distrust in the system elements and their “location” in the space of trust/distrust are important when professionals make decisions in the course of performing professional actions. The results of the study can be used for designing socio-technical systems to increase the predictability of their operation in unstable conditions.

Background. The relationships between conceptual model structures and an operator’s professional efficiency are of direct practical importance, particularly in the case of large-scale industrial complexes combining several human-machine systems. A typical example is the power unit of a nuclear power plant (NPP).

Objective and methods. The purpose of this study was to explore the conceptual models of senior reactor operators (SROs) of NPPs. The study involved 64 men working as SRO at five NPPs in Russia. The methods included: structured interviews, expert estimations, multidimensional scaling (ALSCAL), the K-means clustering algorithm, and frequency analysis. The procedure was as follows: 32 key characteristics of the power unit were defined, including shift operators’ jobs and duties, technical subsystems, types of equipment, and the crucial power unit parameters. The participants were offered a 32×32 matrix for pair-wise estimation of the strength of the links between these key characteristics on a seven-point scale (496 links in total).

Results. A general scheme of key characteristics in the conceptual models was defined. is scheme was displayed in the operators regardless of their employment history. Within the scheme, however, two types of conceptual models were identified, which could be distinguished by the relative number of strong links between the key characteristics. With respect to intersystem links including key characteristics of the reactor and turbine NPP departments, this number was significantly higher in models of Type 1 than in those of Type 2. A positive correlation between the number of these links and the professional efficiency indicators was also established. Operators with Type 1 models were able to more predictably represent the power unit operation.

Conclusion. The main role in creating predictable and efficient conceptual models was played by strong intersystem links in mental representations of workflow.