{"title":"Cues facilitating collective sensemaking during emergencies: Gaps, inconsistencies, and indicators","authors":"Rob Grace, Feifei Pang, Jess Kropczynski","doi":"10.1016/j.ijdrr.2024.104897","DOIUrl":null,"url":null,"abstract":"<div><div>In emergency communications centers, call takers gather information from 9-1-1 callers which dispatchers then radio to first responders. This workflow changes, however, when communications specialists are introduced to work alongside call takers and dispatchers to make sense of information gathered from multiple physical and social sensors during emergencies. While the work of cross-functional communications teams stands to improve the timeliness and quality of situational awareness information dispatched to first responders, the sociotechnical requirements for collective sensemaking in next-generation emergency communications work remains understudied.</div><div>In this research-through-design study, a prototype dashboard and synthetic datasets were developed to examine how cues—informational features that prompt recognition and response—facilitated collective sensemaking among telecommunicators gathering information from 9-1-1 calls and social media during active assailant and flood emergency exercises. During these exercises, three types of cues—gaps, inconsistencies, and indicators—facilitated collective sensemaking by enabling the team to collaboratively assess and reassess incidents reported during the emergencies. However, these cues facilitated collective sensemaking only when paired with multiple resources and coordination mechanisms, including a common operational picture, domain ontology, and standard operating procedures, that allowed telecommunicators to recognize and respond to cues by seeking information to update and modify representations of events shared among members of the communications team. By theorizing cues as relationships between physical features of the environment and actors capable of recognizing and responding to these features, and conceptually defining types of cues that facilitate collective sensemaking, this study offers implications for the design of technologies and work organizations that support collective sensemaking processes.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"114 ","pages":"Article 104897"},"PeriodicalIF":4.2000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of disaster risk reduction","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2212420924006599","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
In emergency communications centers, call takers gather information from 9-1-1 callers which dispatchers then radio to first responders. This workflow changes, however, when communications specialists are introduced to work alongside call takers and dispatchers to make sense of information gathered from multiple physical and social sensors during emergencies. While the work of cross-functional communications teams stands to improve the timeliness and quality of situational awareness information dispatched to first responders, the sociotechnical requirements for collective sensemaking in next-generation emergency communications work remains understudied.
In this research-through-design study, a prototype dashboard and synthetic datasets were developed to examine how cues—informational features that prompt recognition and response—facilitated collective sensemaking among telecommunicators gathering information from 9-1-1 calls and social media during active assailant and flood emergency exercises. During these exercises, three types of cues—gaps, inconsistencies, and indicators—facilitated collective sensemaking by enabling the team to collaboratively assess and reassess incidents reported during the emergencies. However, these cues facilitated collective sensemaking only when paired with multiple resources and coordination mechanisms, including a common operational picture, domain ontology, and standard operating procedures, that allowed telecommunicators to recognize and respond to cues by seeking information to update and modify representations of events shared among members of the communications team. By theorizing cues as relationships between physical features of the environment and actors capable of recognizing and responding to these features, and conceptually defining types of cues that facilitate collective sensemaking, this study offers implications for the design of technologies and work organizations that support collective sensemaking processes.
期刊介绍:
The International Journal of Disaster Risk Reduction (IJDRR) is the journal for researchers, policymakers and practitioners across diverse disciplines: earth sciences and their implications; environmental sciences; engineering; urban studies; geography; and the social sciences. IJDRR publishes fundamental and applied research, critical reviews, policy papers and case studies with a particular focus on multi-disciplinary research that aims to reduce the impact of natural, technological, social and intentional disasters. IJDRR stimulates exchange of ideas and knowledge transfer on disaster research, mitigation, adaptation, prevention and risk reduction at all geographical scales: local, national and international.
Key topics:-
-multifaceted disaster and cascading disasters
-the development of disaster risk reduction strategies and techniques
-discussion and development of effective warning and educational systems for risk management at all levels
-disasters associated with climate change
-vulnerability analysis and vulnerability trends
-emerging risks
-resilience against disasters.
The journal particularly encourages papers that approach risk from a multi-disciplinary perspective.