Evidence map›Paper›PMID 40363075›Full record

ArticleSensors (Basel, Switzerland)2025

Employing Eye Trackers to Reduce Nuisance Alarms.

Katherine Herdt, Michael Hildebrandt, Katya LeBlanc, Nathan Lau

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Katherine HerdtGrado Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, VA 24061, USA.ORCID 0000-0002-1649-6325
Michael HildebrandtHumans and Automation Department, Institute for Energy Technology, 1777 Halden, Norway.
Katya LeBlancDepartment of Human Factors and Reliability, Idaho National Laboratory, Idaho Falls, ID 83415, USA.
Nathan LauGrado Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, VA 24061, USA.ORCID 0000-0003-2235-9527

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

When process operators anticipate an alarm prior to its annunciation, that alarm loses information value and becomes a nuisance. This study investigated using eye trackers to measure and adjust the salience of alarms with three methods of gaze-based acknowledgement (GBA) of alarms that estimate operator anticipation. When these methods detected possible alarm anticipation, the alarm's audio and visual salience was reduced. A total of 24 engineering students (male = 14, female = 10) aged between 18 and 45 were recruited to predict alarms and control a process parameter in three scenario types (parameter near threshold, trending, or fluctuating). The study evaluated whether behaviors of the monitored parameter affected how frequently the three GBA methods were utilized and whether reducing alarm salience improved control task performance. The results did not show significant task improvement with any GBA methods (F(3,69) = 1.357,

Indexed as

Eye-Tracking TechnologyAdolescentAdultEye MovementsFemaleHumansMaleMiddle AgedTask Performance and AnalysisYoung Adultalarmsattentioneye trackingmonitoringuser interface

Identifiers

PMID40363075
PMCPMC12074377

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.