Effects of varying the threshold of alarm systems and task complexity on human performance and perceived workload

Bustamante, Ernesto A.; Anderson, Brittany L.; Bliss, James P.

doi:10.1037/e577082012-035

Cited by 6 publications

(5 citation statements)

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“…Binary Alarm System. The performance of the binary alarm system was modeled based on prior research (Bustamante, Anderson, & Bliss, 2004). The overall reliability of this system was 18%, which meant that 18 out of every 100 alarms were true.…”

Section: Alarm Systemmentioning

confidence: 99%

A Signal Detection Analysis of the Effects of Workload, Task-Critical and Likelihood Information on Human Alarm Response

Bustamante

2005

Proceedings of the Human Factors and Ergonomics Society Annual

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The purpose of this study was to examine the effects of task-critical and likelihood information on participants' sensitivity and bias to alarm signals under varying levels of workload. Participants performed a complex primary task at the same time they performed a secondary task. Likelihood information was manipulated through the use of either a Binary Alarm System (BAS) or a Likelihood Alarm System (LAS). As expected, task-critical and likelihood information significantly increased participants' sensitivity, and this varied across workload levels. Participants benefited from task-critical information only when they were interacting with the BAS. However, participants benefited from likelihood information regardless of task-critical information, particularly under high-workload conditions. Furthermore, task-critical information increased participants' response bias under low workload, making them less likely to respond to alarm signals. These results demonstrated the superior advantage of an LAS over a traditional BAS and showed support for the use of an LAS as a way to mitigate the cry-wolf effect above and beyond task-critical information.

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Section: Alarm Systemmentioning

confidence: 99%

A Signal Detection Analysis of the Effects of Workload, Task-Critical and Likelihood Information on Human Alarm Response

Bustamante

2005

Proceedings of the Human Factors and Ergonomics Society Annual

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“…The decrease in an operator’s alertness in low workload scenarios has already been studied. 17,32 In Hotspot and CVS , the computer vision detection support can display visual alarms and increase the alertness of the participants, leading to better performance.…”

Section: Resultsmentioning

confidence: 99%

Hotspot: Making computer vision more effective for human video surveillance

Nguyen

Feng

Liu

2016

Information Visualization

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Studies have shown that the human capability of monitoring multiple surveillance videos is limited. Computer vision techniques have been developed to detect abnormal events to support human video surveillance; however, their results are often unreliable, thus distracting surveillance operators and making them miss important events. This article presents Hotspot as a surveillance video visualization system that can effectively leverage noisy computer vision techniques to support human video surveillance. Hotspot consists of two views: a designated focus view to summarize videos with detected events and a video-bank view surrounding the focus view to display source surveillance videos. The focus view allows an operator to quickly dismiss false alarms and focus on true alarms. The video-bank view allows for extended human video analysis after an important event is detected. Hotspot further provides visual links to assist quick attention switch from the focus view to the video-bank view. Our experiments show that Hotspot can effectively integrate noisy, automatic computer vision detection results and better support human video surveillance tasks than the baseline video surveillance with no or only basic computer vision support.

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“…This in turn leads to a better performance in the task and improved performance in concurrent tasks as operators gain more spare capacities, which can be re-allocated (e.g. Bustamante et al, 2004;Meyer and Bitan, 2002).…”

Section: Alarm Systemsmentioning

confidence: 99%

Operators׳ adaptation to imperfect automation – Impact of miss-prone alarm systems on attention allocation and performance

Onnasch

Ruff

Manzey

2014

International Journal of Human-Computer Studies

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Operators in complex environments are often supported by alarm systems that indicate when to shift attention to certain tasks. As alarms are not perfectly reliable, operators have to select appropriate strategies of attention allocation to compensate for unreliability and to maintain overall performance. This study explores how humans adapt to differing alarm reliabilities. Within a multi-task simulation consisting of a monitoring task and two other concurrent tasks, participants were assigned to one of five groups. In the manual control group none of the tasks was supported by an alarm system, whereas the four experimental groups were supported in the monitoring task by a miss-prone alarm system differing in reliability, i.e. 68.75%, 75%, 87.5%, 93.75%. Compared to the manual control group, all experimental groups benefited from the support by alarms, with best performance for the highest reliability condition.However, for the lowest reliability group the benefit was associated with an increased attentional effort, a more demanding attention allocation strategy, and a declined relative performance in a concurrent task. Results are discussed in the context of recent automation research.

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Effects of varying the threshold of alarm systems and task complexity on human performance and perceived workload

Cited by 6 publications

References 0 publications

A Signal Detection Analysis of the Effects of Workload, Task-Critical and Likelihood Information on Human Alarm Response

A Signal Detection Analysis of the Effects of Workload, Task-Critical and Likelihood Information on Human Alarm Response

Hotspot: Making computer vision more effective for human video surveillance

Operators׳ adaptation to imperfect automation – Impact of miss-prone alarm systems on attention allocation and performance

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