Abstract
This case study outlines the process of the service prototype development for enhancing proactive rescue work of the Finnish rescue department (Kupela). In this paper we present our development challenge, co-development methodology, prototype development process and user research activities conducted in the wild. The aim of this research is to study how novel technologies can be used to enhance contextual understanding and situational awareness in predictive rescue work. By utilizing rich data sources, coherent view of the rescue situation can be established, resulting in improved safety and better experience for all stakeholders of the project; that is tactical and operative rescue workers and customers of the rescue service.
Original language | English |
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Title of host publication | CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems |
Subtitle of host publication | Engage with CHI |
Publisher | Association for Computing Machinery ACM |
Number of pages | 8 |
ISBN (Electronic) | 978-1-4503-5621-3 |
DOIs | |
Publication status | Published - 20 Apr 2018 |
MoE publication type | Not Eligible |
Event | CHI EA '18 Conference on Human Factors in Computing Systems - Montreal, Canada Duration: 21 Apr 2018 → 26 Apr 2018 |
Conference
Conference | CHI EA '18 Conference on Human Factors in Computing Systems |
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Country/Territory | Canada |
City | Montreal |
Period | 21/04/18 → 26/04/18 |