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.
| Original language | English (US) |
|---|---|
| Title of host publication | CHI EA 2019 - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems |
| Publisher | Association for Computing Machinery |
| ISBN (Electronic) | 9781450359719 |
| DOIs | |
| State | Published - May 2 2019 |
| Event | 2019 CHI Conference on Human Factors in Computing Systems, CHI EA 2019 - Glasgow, United Kingdom Duration: May 4 2019 → May 9 2019 |
Publication series
| Name | Conference on Human Factors in Computing Systems - Proceedings |
|---|
Conference
| Conference | 2019 CHI Conference on Human Factors in Computing Systems, CHI EA 2019 |
|---|---|
| Country | United Kingdom |
| City | Glasgow |
| Period | 5/4/19 → 5/9/19 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Human-Computer Interaction
- Computer Graphics and Computer-Aided Design
- Software
Keywords
- Activity recognition
- Decision support
- Emergency medicine
- Narrative schema
- Speech analysis
- Speech modeling
Cite this
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Assessing the feasibility of speech-based activity recognition in dynamic medical settings. / Jagannath, Swathi; Sarcevic, Aleksandra; Kamireddi, Neha; Marsic, Ivan.
CHI EA 2019 - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, 2019. 3312983 (Conference on Human Factors in Computing Systems - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Assessing the feasibility of speech-based activity recognition in dynamic medical settings
AU - Jagannath, Swathi
AU - Sarcevic, Aleksandra
AU - Kamireddi, Neha
AU - Marsic, Ivan
PY - 2019/5/2
Y1 - 2019/5/2
N2 - 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.
AB - 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.
KW - Activity recognition
KW - Decision support
KW - Emergency medicine
KW - Narrative schema
KW - Speech analysis
KW - Speech modeling
UR - http://www.scopus.com/inward/record.url?scp=85067310173&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85067310173&partnerID=8YFLogxK
U2 - 10.1145/3290607.3312983
DO - 10.1145/3290607.3312983
M3 - Conference contribution
AN - SCOPUS:85067310173
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI EA 2019 - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
ER -