Demo Data from SIGIR 2026 / reviewers in the wild / expert
Mary Gobbi
dblp:98/2717
· DBLP profile ↗
3ranked-venue papers
0as first author
0since 2021 · last 2018
0000-0003-0941-4608ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 3Applied, interdisciplinary, general and emerging computing · 1
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Learning and educational technologies › medical training
CPR training |
0.3 | 1 | 2018 | Training CPR with a wearable real time feedback system · UbiComp 2018 |
Interaction techniques and input › mobile interaction › wearable device interaction
wearable feedback |
0.1 | 1 | 2018 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | Training CPR with a wearable real time feedback systemabstractWe 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 |
UbiComp | 4 |
| 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. | 4 |
| 2007 | Adapting health care competencies to a formal competency modelabstractHealth professions education has moved away from process-based curricula to competency-based curricula. Machine readable and processable health care competencies are still embryonic, pending the emergence of appropriate standards. The IMS Reusable Definition of Competency or Educational Objective specification and the HR-XML competency standard are introduced, compared, and their problems identified in the implementation of exemplar competencies from the UK Royal College of Nursing. An improved competency model is proposed. Onjira Sitthisak, Lester Gilbert, Hugh C. Davis, Mary Gobbi |
ICALT | 4 |