TY - GEN
T1 - Design of Gaze-Based Alarm Acknowledgement by Parameter Characteristics
AU - Herdt, Katherine
AU - Lau, Nathan
AU - Hildebrant, Michael
AU - Le, Tai
AU - Leblanc, Katya
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.
PY - 2022
Y1 - 2022
N2 - Alarms in industrial control rooms are defined by their ability to alert an operator of abnormal events that require prompt response. However, when vigilant, operators may anticipate upcoming alarms, rendering those alarms less informative if not a nuisance. Three gaze-based alarm acknowledgement methods were designed by estimating operator awareness based on their eye fixations on the parameter/area of interest and parameter behavior shortly before the alarm. The three designs differed in acknowledging the types of parameter behaviors, which could be: a) near the alarm threshold, b) fluctuating drastically, or c) trending towards an alarm threshold. These three parameter behaviors correlate with increased visual sampling, which suggests higher operator awareness or expectation of alarms. In a simulator study comparing the three gaze-based acknowledgement methods against no gaze acknowledgement, 24 participants completed 24 trials of alarm monitoring task while maintaining a single parameter within a predefined range. Analysis of variance revealed that usability ratings were higher for conditions with than without gaze acknowledgements, demonstrating promise for this alarm management approach.
AB - Alarms in industrial control rooms are defined by their ability to alert an operator of abnormal events that require prompt response. However, when vigilant, operators may anticipate upcoming alarms, rendering those alarms less informative if not a nuisance. Three gaze-based alarm acknowledgement methods were designed by estimating operator awareness based on their eye fixations on the parameter/area of interest and parameter behavior shortly before the alarm. The three designs differed in acknowledging the types of parameter behaviors, which could be: a) near the alarm threshold, b) fluctuating drastically, or c) trending towards an alarm threshold. These three parameter behaviors correlate with increased visual sampling, which suggests higher operator awareness or expectation of alarms. In a simulator study comparing the three gaze-based acknowledgement methods against no gaze acknowledgement, 24 participants completed 24 trials of alarm monitoring task while maintaining a single parameter within a predefined range. Analysis of variance revealed that usability ratings were higher for conditions with than without gaze acknowledgements, demonstrating promise for this alarm management approach.
KW - Alarm management
KW - Eye tracking
KW - Gaze-based interaction
KW - Process monitoring
UR - https://www.scopus.com/pages/publications/85145225902
UR - https://www.mendeley.com/catalogue/62312706-e5a5-3277-bfbe-cac28f2211cf/
U2 - 10.1007/978-3-031-06417-3_9
DO - 10.1007/978-3-031-06417-3_9
M3 - Conference contribution
AN - SCOPUS:85145225902
SN - 9783031064166
T3 - Communications in Computer and Information Science
SP - 63
EP - 70
BT - HCI International 2022 Posters - 24th International Conference on Human-Computer Interaction, HCII 2022, Proceedings
A2 - Stephanidis, Constantine
A2 - Antona, Margherita
A2 - Ntoa, Stavroula
PB - Springer Science and Business Media Deutschland GmbH
T2 - 24th International Conference on Human-Computer Interaction, HCII 2022
Y2 - 26 June 2022 through 1 July 2022
ER -