Logo des Repositoriums
 

Google Glass++: Evaluating Multimodal Alarms on Google Glass

dc.contributor.authorCobus, Vanessa
dc.contributor.authorBusse, Steffen
dc.contributor.authorHeuten, Wilko
dc.contributor.editorAlt, Florian
dc.contributor.editorBulling, Andreas
dc.contributor.editorDöring, Tanja
dc.date.accessioned2019-08-22T04:36:27Z
dc.date.available2019-08-22T04:36:27Z
dc.date.issued2019
dc.description.abstractAround 350 alarms per patient a day make intensive care units a loud, stressful, and highly cognitive demanding working environment for nurses. Each alarm needs to be identified and evaluated regarding its urgency which requires to interrupt nursing tasks. Alarm fatigue is a prominent result of alarm exposure and a well-known problem for caregivers, causing a desensitization and delayed response time for alarms. To counteract this issue, we suggest to forward patient alarms and alarm relevant information just to the responsible nurse, using head-mounted displays. In a first user study, we evaluated the suitability of patient relevant information displayed via Google Glass EE in combination with peripherally visual and audible alarms during nursing specific loads. Therefore, we enhanced Glass with a peripheral light display. For both conditions (light/sound), the readability of the display, and the alarms' identifiability and distraction, were rated as good. Finally, our prototype was rated as comfortable.en
dc.description.urihttps://dl.acm.org/authorize?N681230
dc.identifier.doi10.1145/3340764.3344910
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/24560
dc.language.isoen
dc.publisherACM
dc.relation.ispartofMensch und Computer 2019 - Tagungsband
dc.relation.ispartofseriesMensch und Computer
dc.subjecthead-mounted display
dc.subjectwearable
dc.subjectcritical care
dc.subjectmultimodal
dc.titleGoogle Glass++: Evaluating Multimodal Alarms on Google Glassen
dc.typeText/Conference Paper
gi.citation.publisherPlaceNew York
gi.conference.date8.-11. September 2019
gi.conference.locationHamburg
gi.conference.sessiontitleMCI: Short Paper (Poster)
gi.document.qualitydigidoc

Dateien

Originalbündel
1 - 1 von 1
Lade...
Vorschaubild
Name:
poster-545.pdf
Größe:
1.9 MB
Format:
Adobe Portable Document Format