Trust in Automation: A Qualitative Study of Behaviour and Attitudes Towards Emerging Technology in Military Culture
datasetposted on 27.11.2018 by Megan Field
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
Technical paper presented at the 2018 Defence and Security Doctoral Symposium.
Trust is often explored as a determinant of appropriate automation usage and reliance. Despite the wealth of research into the antecedents, decision making and cognitive factors to facilitate human-automation interaction, internal factors that influence dispositional trust, are often underrepresented. High speciality and criticality domains characterise the most researched areas in this field, however, there are minimal studies exploring organisational culture, such as within the military, and their effect on trust in automation. The research seeks to explore the dominant narratives of differing echelons of the military (ground, air, surface and subsurface) through responsive interviewing and examining the unique culture borne of strong hierarchical order, regulations and training in parallel to civilians. Furthermore, within the larger scope, submarine culture is psychosocially distinctive due to the environmental constraints of active duty, such as the isolation and restrictions incurred by lengthy operational deployment. Due to this seclusion, submarine life is often distinct from other strata owing to the weight of human-human trust and kinship placed on the personnel over automated teammates (e.g., decision making software). The research plans to delve into the experiences of this idiosyncratic workforce and others to explore how service potentially alters their views and experience of human-automation/system interactions and whether underlying skepticisms, expertise or training play a part in their worldview.