This paper looked at the need for understanding the sociotechnical and psychosocial characteristics of rock drilling activity in deep mines that could lead to the harmonization of the human, technological, and organizational components of the work systems. The aim is to identify performance enhancing strategies that could be used to improve and optimize human-technology collaboration in rock drilling activity in deep mines. Guided by the systemic structural activity theory, data was collected by video recording two skilled miners engaged in two separate rock drilling activities using a high technology drilling machine at a Swedish underground mine. Using the systemic analytical approach, the data obtained were analyzed morphologically and functionally. In the morphological analysis, the constructive features of the rock drilling activity, entailing the logical and spatio-temporal organization of the cognitive behavioral actions and operations involved, were described. In describing the structure of the production drilling activity, the work process was subdivided into tasks. These tasks were analyzed individually in terms of the miners’ mental and motor actions and operations. In the functional analysis, the actions and operations entailed in the rock drilling activity were appraised qualitatively, using systemic principles to identify potential strategies of activity performance. Results from analysis of the miners’ motors actions during the rock drilling activity showed that by using implicit driven strategies, they were able to perform simultaneously two specific tasks that required high levels of concentration and visual control in the normal visual field available to them from inside the protective cabin of the high technology equipment they were using. One task involved the miners’ use of both hands to operate joysticks to control the movements of two robotic arm drills (boomers). The miners other task entailed the visual location of drilling spots on a computer generated drilling surface spots map, and then guiding the robotic arms to the corresponding drill spots marked on the rock surfaces on which the drilling occurs. It is also found that despite the high level of concentration required in performing these two simultaneous tasks, the miners use their implicit knowledge of the rocks and the characteristics of sounds produced by the engagement between the robotic arm drill and the rock surface to enhance their performances. They simultaneously combine their mental actions and motor actions in recognizing and remedying the constraining effects of unfamiliar stimuli during the rock drilling activity. It is concluded that the functional efficiency and effectiveness of rock drilling activity as well as the miner’s productive performance in future automated and digitized deep mines could be enhanced by identifying the implicit characteristics of their performance enhancing actions and operational strategies. Such implicit characteristics of action and operational strategies are used by miners to facilitate the simultaneous functioning of their motor and mental actions, and by implication, enhance their productiveness and task performances in the rock drilling activity in the deep mines. This understanding has future implications in designing a very efficient and effective human-technology collaboration in a highly digitized deep mine work system.