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CareCall: a Call-Based Active Monitoring Dialog Agent for Managing COVID-19 Pandemic
July 06, 2020 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Sang-Woo Lee, Hyunhoon Jung, SukHyun Ko, Sunyoung Kim, Hyewon Kim, Kyoungtae Doh, Hyunjung Park, Joseph Yeo, Sang-Houn Ok, Joonhaeng Lee, Sungsoon Lim, Minyoung Jeong, Seongjae Choi, SeungTae Hwang, Eun-Young Park, Gwang-Ja Ma, Seok-Joo Han, Kwang-Seung Cha, Nako Sung, Jung-Woo Ha
arXiv ID
2007.02642
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.AI,
cs.CY
Citations
9
Venue
arXiv.org
Last Checked
4 months ago
Abstract
Tracking suspected cases of COVID-19 is crucial to suppressing the spread of COVID-19 pandemic. Active monitoring and proactive inspection are indispensable to mitigate COVID-19 spread, though these require considerable social and economic expense. To address this issue, we introduce CareCall, a call-based dialog agent which is deployed for active monitoring in Korea and Japan. We describe our system with a case study with statistics to show how the system works. Finally, we discuss a simple idea which uses CareCall to support proactive inspection.
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