Assessment of the Building Situation Tool adoption among firefighters
Sever, Filip (2022-09-19)
Sever, Filip
F. Sever
19.09.2022
© 2022 Filip Sever. Ellei toisin mainita, uudelleenkäyttö on sallittu Creative Commons Attribution 4.0 International (CC-BY 4.0) -lisenssillä (https://creativecommons.org/licenses/by/4.0/). Uudelleenkäyttö on sallittua edellyttäen, että lähde mainitaan asianmukaisesti ja mahdolliset muutokset merkitään. Sellaisten osien käyttö tai jäljentäminen, jotka eivät ole tekijän tai tekijöiden omaisuutta, saattaa edellyttää lupaa suoraan asianomaisilta oikeudenhaltijoilta.
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:oulu-202209193419
https://urn.fi/URN:NBN:fi:oulu-202209193419
Tiivistelmä
Technology and technical tools have become standard resources that first responders use in their work. Throughout an incident, technology serves to improve communications, planning, safety, situational awareness, and decision-making. Certain incidents require specialized tools to resolve the crisis, whether it is for the law enforcement, medical, or firefighter unit to manage. One under-utilized technology is building sensors, recording information on temperature, CO2, smoke, airflow, and movement in the building. While modern buildings include sensors to monitor for potential dangers, that information is not shared with the fire department beyond notification of a fire alert. Despite the considerable number of hardware and software solutions adopted, firefighters in Kainuu, Finland still rely on paper plans when examining indoor disasters. The Building Situation Tool (BUST) was developed to utilize the building sensors and visualize the building as a 3D model, to provide firefighters with a realtime overview of the site during emergencies.
The purpose of this study is to investigate the technological competencies of firefighters, determine the usability and ease of use of BUST, and examine the factors that influence the adoption of BUST. The constructs of the Technology Acceptance Model (TAM), selfefficacy, and workplace learning are used. These three constructs provide insight into how the intention to use technology is modeled, how users perceive their knowledge and use of technology, and how the workplace influences learning and performance.
A mixed-method approach was used in this study. The firefighter’s technology self-efficacy, perceived usefulness, and ease of were recorded through quantitative questionnaires. The firefighter’s experiences in using the technology and factors that influence adoption were recorded through a questionnaire and interview. The findings show a sufficient level of competency, that first-time users prefer guided instructions, clarity in the user interface, controls, and options to customize the user interface. The findings have practical implications for the future development of BUST and its adoption in the workflow of firefighters.
The purpose of this study is to investigate the technological competencies of firefighters, determine the usability and ease of use of BUST, and examine the factors that influence the adoption of BUST. The constructs of the Technology Acceptance Model (TAM), selfefficacy, and workplace learning are used. These three constructs provide insight into how the intention to use technology is modeled, how users perceive their knowledge and use of technology, and how the workplace influences learning and performance.
A mixed-method approach was used in this study. The firefighter’s technology self-efficacy, perceived usefulness, and ease of were recorded through quantitative questionnaires. The firefighter’s experiences in using the technology and factors that influence adoption were recorded through a questionnaire and interview. The findings show a sufficient level of competency, that first-time users prefer guided instructions, clarity in the user interface, controls, and options to customize the user interface. The findings have practical implications for the future development of BUST and its adoption in the workflow of firefighters.
Kokoelmat
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