Proactive Rescuework by Enhancing Situational Awareness: Modeling resources, services and people

Matti Luhtala, Juha Rajala, Maria Nevala, Santeri Saarinen, Laura Virkki, Johanna Lappi-Ramula, Hans Hokka, Helen Tran, Matti Savolainen, Ilkka Heinonen, Sami Kanerva

Research output: Chapter in Book/Report/Conference proceedingConference abstract in proceedingsScientific

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 languageEnglish
Title of host publicationCHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems
Subtitle of host publicationEngage with CHI
PublisherAssociation for Computing Machinery ACM
Number of pages8
ISBN (Electronic)978-1-4503-5621-3
DOIs
Publication statusPublished - 20 Apr 2018
MoE publication typeNot Eligible
EventCHI EA '18 Conference on Human Factors in Computing Systems - Montreal, Canada
Duration: 21 Apr 201826 Apr 2018

Conference

ConferenceCHI EA '18 Conference on Human Factors in Computing Systems
CountryCanada
CityMontreal
Period21/04/1826/04/18

Fingerprint Dive into the research topics of 'Proactive Rescuework by Enhancing Situational Awareness: Modeling resources, services and people'. Together they form a unique fingerprint.

  • Cite this

    Luhtala, M., Rajala, J., Nevala, M., Saarinen, S., Virkki, L., Lappi-Ramula, J., Hokka, H., Tran, H., Savolainen, M., Heinonen, I., & Kanerva, S. (2018). Proactive Rescuework by Enhancing Situational Awareness: Modeling resources, services and people. In CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI [CS16] Association for Computing Machinery ACM. https://doi.org/10.1145/3170427.3174349