Conference proceeding
Assessing the Feasibility of Speech-Based Activity Recognition in Dynamic Medical Settings
Extended Abstracts of the 2019 CHI Conference on human factors in computing systems, pp 1-6
02 May 2019
Featured in Collection : UN Sustainable Development Goals @ Drexel
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.
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Details
- Title
- Assessing the Feasibility of Speech-Based Activity Recognition in Dynamic Medical Settings
- Creators
- Swathi JagannathAleksandra SarcevicNeha KamireddiIvan Marsic
- Publication Details
- Extended Abstracts of the 2019 CHI Conference on human factors in computing systems, pp 1-6
- Series
- CHI EA '19
- Publisher
- Association for Computing Machinery (ACM)
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000482042101076
- Scopus ID
- 2-s2.0-85067310173
- Other Identifier
- 991014976819404721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Cybernetics
- Computer Science, Theory & Methods