Name
Title | ||
|---|---|---|
Assessing the Feasibility of Speech-Based Activity Recognition in Dynamic Medical Settings. |
Abstract | ||
|---|---|---|
We describe an experiment conducted with three domain experts to understand how well they can recognize types and performance stages of activities using speech data transcribed from verbal communications during dynamic medical teamwork. The insights gained from this experiment will inform the design of an automatic activity recognition system to alert medical teams to process deviations in real time. We contribute to the literature by (1) characterizing how domain experts perceive the dynamics of activity-related speech, and (2) identifying the challenges associated with system design for speech-based activity recognition in complex team-based work settings.
|
Year | DOI | Venue |
|---|---|---|
2019 | 10.1145/3290607.3312983 | CHI Extended Abstracts |
Keywords | Field | DocType |
activity recognition, decision support, emergency medicine, narrative schema, speech analysis, speech modeling | Teamwork,Activity recognition,Computer science,Decision support system,Systems design,Speech modeling,Human–computer interaction,Multimedia | Conference |
ISBN | Citations | PageRank |
978-1-4503-5971-9 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Swathi Jagannath | 1 | 11 | 3.39 |
| Aleksandra Sarcevic | 2 | 182 | 26.75 |
| Neha Kamireddi | 3 | 0 | 0.34 |
| Ivan Marsic | 4 | 716 | 91.96 |