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Title: Assessing the Feasibility of Speech-Based Activity Recognition in Dynamic Medical Settings
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.  more » « less
Award ID(s):
1763509
PAR ID:
10118250
Author(s) / Creator(s):
; ; ;
Date Published:
Journal Name:
Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems
Page Range / eLocation ID:
LBW0225
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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