Final published version
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Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - Exploring the use of IoT Data for Heightened Situational Awareness in Centralised Monitoring Control Rooms
AU - Horita, Flávio
AU - Baptista, João
AU - de Albuquerque, João Porto
PY - 2023/2/28
Y1 - 2023/2/28
N2 - This paper traces the expansion of a network of IoT sensors to improve the effectiveness of a centralised control room in Brazil in anticipating natural hazards. This centralised model relies on using IoT data by highly qualified experts replacing previous smaller local structures. We draw on the notion of Situational Awareness to carry out the study. Results show that although the operators were not always familiar with the characteristics of locations, the use of IoT data heightened their situational awareness in the centralised control room by improving perception and comprehension. However, they still relied on local knowledge and learned experiences to support projection and anticipation of risks. The study highlights that although data analytics systems are capable of expanding operators’ perception of local elements, they must be complemented by local richer forms of information, needed to anticipate risks and make critical decisions with major impact on local population.
AB - This paper traces the expansion of a network of IoT sensors to improve the effectiveness of a centralised control room in Brazil in anticipating natural hazards. This centralised model relies on using IoT data by highly qualified experts replacing previous smaller local structures. We draw on the notion of Situational Awareness to carry out the study. Results show that although the operators were not always familiar with the characteristics of locations, the use of IoT data heightened their situational awareness in the centralised control room by improving perception and comprehension. However, they still relied on local knowledge and learned experiences to support projection and anticipation of risks. The study highlights that although data analytics systems are capable of expanding operators’ perception of local elements, they must be complemented by local richer forms of information, needed to anticipate risks and make critical decisions with major impact on local population.
KW - Advanced ICT
KW - Centralised monitoring control room
KW - Digital transformation
KW - Disaster risk monitoring
KW - IoT big data
KW - Situation awareness
U2 - 10.1007/s10796-020-10075-8
DO - 10.1007/s10796-020-10075-8
M3 - Journal article
AN - SCOPUS:85096023017
VL - 25
SP - 275
EP - 290
JO - Information Systems Frontiers
JF - Information Systems Frontiers
SN - 1387-3326
IS - 1
ER -