Abstract
Recently, diseases like H1N1 influenza, Ebola, and Zika virus have created severe crises, requiring public resources and personal behavior adaptation. Crisis Informatics literature examines interconnections of people, organizations, and IT during crisis events. However, how people use technology to cope with disease crises (outbreaks, epidemics, and pandemics) remains understudied. We investigate how individuals used social media in response to the outbreak of Zika, focusing on travel-related decisions. We found that extreme uncertainty and ambiguity characterized the Zika virus crisis. To cope, people turned to social media for information gathering and social learning geared towards personal risk assessment and modifying decisions when dealing with partial and conflicting information about Zika. In particular, individuals sought local information and used socially informed logical reasoning to deduce the risk at a specific locale. We conclude with implications for designing information systems to support individual risk assessment and decision-making when faced with uncertainty and ambiguity during public health crises.
| Original language | English (US) |
|---|---|
| Title of host publication | CHI 2017 - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems |
| Subtitle of host publication | Explore, Innovate, Inspire |
| Publisher | Association for Computing Machinery |
| Pages | 4520-4533 |
| Number of pages | 14 |
| ISBN (Electronic) | 9781450346559 |
| DOIs | |
| State | Published - May 2 2017 |
| Event | 2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI 2017 - Denver, United States Duration: May 6 2017 → May 11 2017 |
Publication series
| Name | Conference on Human Factors in Computing Systems - Proceedings |
|---|---|
| Volume | 2017-May |
Other
| Other | 2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI 2017 |
|---|---|
| Country/Territory | United States |
| City | Denver |
| Period | 5/6/17 → 5/11/17 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
All Science Journal Classification (ASJC) codes
- Software
- Human-Computer Interaction
- Computer Graphics and Computer-Aided Design
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