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Eloise Monger

dblp:04/7355 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2018
0000-0003-2799-0596ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 2

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Learning and educational technologies · 77% Interaction techniques and input · 23%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Learning and educational technologies › medical training
CPR training
0.312018
Training CPR with a wearable real time feedback system · UbiComp 2018
Interaction techniques and input › mobile interaction › wearable device interaction
wearable feedback
0.112018
Training CPR with a wearable real time feedback system · UbiComp 2018

Methods — techniques the papers use, named apart from their topics

visual feedback · 0.3tactile feedback · 0.3audio feedback · 0.3
YearPublicationVenuePosition
2018 Training CPR with a wearable real time feedback system
abstract
We present a study comparing the effect of real-time wearable feedback with traditional training methods for cardiopulmonary resuscitation (CPR). The aim is to ensure that the students can deliver CPR with the right compression speed and depth. On the wearable side, we test two systems: one based on a combination of visual feedback and tactile information on a smart-watch and one based on visual feedback and audio information on a Google Glass. In a trial with 50 subjects (23 trainee nurses and 27 novices,) we compare those modalities to standard human teaching that is used in nurse training. While a single traditional teaching session tends to improve only the percentage of correct depth, it has less effect on the percentage of effective CPR (depth and speed correct at the same time). By contrast, in a training session with the wearable feedback device, the average percentage of time when CPR is effective improves by up to almost 25%.
Agnes Grünerbl, Hamraz Javaheri, Eloise Monger, Mary Gobbi, Paul Lukowicz
UbiComp3
2017 Authority as an Interactional Achievement: Exploring Deference to Smart Devices in Hospital-Based Resuscitation
Menisha Patel, Mark Hartswood, Helena Webb, Mary Gobbi, Eloise Monger, Marina Jirotka
Comput. Support. Cooperative Work.5