Search and rescue (SAR), a disaster response activity performed to locate and save victims, primarily involves collective sensemaking and planning. SAR responders learn to search and navigate the environment, process information about buildings, and collaboratively plan with maps. We synthesize data from five sources, including field observations and interviews, to understand the informational components of SAR and how information is recorded and communicated. We apply activity theory, uncovering unforeseen factors that are relevant to the design of collaboration systems and training solutions. Through our analysis, we derive design implications to support collaborative information technology and training systems: mixing physical and digital mapping; mixing individual and collective mapping; building for different levels and sources of information; and building for different rules, roles, and activities.
https://doi.org/10.1145/3411764.3445272
The ACM CHI Conference on Human Factors in Computing Systems (https://chi2021.acm.org/)