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Glass++ Evaluating Multimodal Alarms on Google Glass

Authors:

Vanessa Cobus,

Steffen Busse,

Wilko HeutenAuthors Info & Claims

MuC '19: Proceedings of Mensch und Computer 2019

Pages 795 - 799

https://doi.org/10.1145/3340764.3344910

Published: 08 September 2019 Publication History

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Abstract

Around 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.

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Cited By

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Zhang ZJoy KHarris ROzkaynak MAdelgais KMunjal K(2022)Applications and User Perceptions of Smart Glasses in Emergency Medical Services: Semistructured Interview StudyJMIR Human Factors10.2196/308839:1(e30883)Online publication date: 28-Feb-2022
https://doi.org/10.2196/30883
Kimmel SCobus VHeuten W(2021)opticARe - Augmented Reality Mobile Patient Monitoring in Intensive Care UnitsProceedings of the 27th ACM Symposium on Virtual Reality Software and Technology10.1145/3489849.3489852(1-11)Online publication date: 8-Dec-2021
https://dl.acm.org/doi/10.1145/3489849.3489852
Schlosser PMatthews BSalisbury ISanderson PHayes SKitamura YQuigley AIsbister KIgarashi TBjørn PDrucker S(2021)Head-Worn Displays for Emergency Medical Services StaffProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445614(1-14)Online publication date: 6-May-2021
https://dl.acm.org/doi/10.1145/3411764.3445614

Index Terms

Glass++ Evaluating Multimodal Alarms on Google Glass
1. Hardware
  1. Communication hardware, interfaces and storage
    1. Sensors and actuators
    2. Wireless devices
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. Empirical studies in HCI

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Published In

MuC '19: Proceedings of Mensch und Computer 2019

September 2019

863 pages

ISBN:9781450371988

DOI:10.1145/3340764

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 September 2019

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Short-paper
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Refereed limited

Funding Sources

Bundesministerium für Bildung und Forschung

Conference

MuC'19

MuC'19: Mensch-und-Computer

September 8 - 11, 2019

Hamburg, Germany

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Cited By

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Zhang ZJoy KHarris ROzkaynak MAdelgais KMunjal K(2022)Applications and User Perceptions of Smart Glasses in Emergency Medical Services: Semistructured Interview StudyJMIR Human Factors10.2196/308839:1(e30883)Online publication date: 28-Feb-2022
https://doi.org/10.2196/30883
Kimmel SCobus VHeuten W(2021)opticARe - Augmented Reality Mobile Patient Monitoring in Intensive Care UnitsProceedings of the 27th ACM Symposium on Virtual Reality Software and Technology10.1145/3489849.3489852(1-11)Online publication date: 8-Dec-2021
https://dl.acm.org/doi/10.1145/3489849.3489852
Schlosser PMatthews BSalisbury ISanderson PHayes SKitamura YQuigley AIsbister KIgarashi TBjørn PDrucker S(2021)Head-Worn Displays for Emergency Medical Services StaffProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445614(1-14)Online publication date: 6-May-2021
https://dl.acm.org/doi/10.1145/3411764.3445614

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