A2 Vertaisarvioitu katsausartikkeli tieteellisessä lehdessä
A Systematic Review of Empirical Studies on Situation Awareness: Perspectives From the Interaction Among Humans, Machines, and the Task Environment
Tekijät: Fang, Rong; Zhou, Qian; Zhou, Chen; Yuan, Shifang; Wang, Kexin; Li, Qi; Zhang, Yu; Li, Jie
Kustantaja: Wiley
Kustannuspaikka: HOBOKEN
Julkaisuvuosi: 2025
Journal: PSYCH JOURNAL
Tietokannassa oleva lehden nimi: PsyCh Journal
Lehden akronyymi: PSYCH J
Sivujen määrä: 16
ISSN: 2046-0252
eISSN: 2046-0260
DOI: https://doi.org/10.1002/pchj.70027
Verkko-osoite: https://doi.org/10.1002/pchj.70027
Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/499210509
Situational awareness (SA) refers to "knowing what is going on" in a situation. As an essential concept originating in aviation literature approximately 40 years ago, SA has demonstrated significant potential and has since been extended across various fields, leading to a growing body of research. With its expanding application in diverse fields, SA literature has become increasingly fragmented. This study systematically reviews previous empirical studies to provide a structured categorization and comprehensive analysis of SA applications, contributing to the advancement of SA research. Our search identified 2860 empirical studies on SA published between 1975 and 2024, spanning 11 major fields, including aviation, driving, power systems, traffic and transportation, health care and medicine, emergency management, military, training, sport, system autonomy, and network information and communication. We examined the specific characteristics of SA in these fields and, by integrating the characteristics with human factors/ergonomics principles, developed a comprehensive framework. Based on this framework, we categorized the SA research into three groups: the ergonomics-centered group (e.g., aviation), the human-centered group (e.g., sports), and the machine-centered group (e.g., system autonomy). Our findings have the potential to foster collaboration among researchers across diverse fields, facilitating the expansion and integration of SA research through cross-referencing theories, models, and methodologies.
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This work was supported by the National Natural Science Foundation of China under [grant number 32071087] and the European Union's Horizon 2020 research and innovation programme under the Marie Sk & lstrok;odowska-Curie [grant number 101030794].
