Détail du document
Identifiant
oai:arXiv.org:2412.05181
Sujet
Computer Science - Human-Computer ...Auteur
Joy, Karen Liang, Michelle Ammari, TawfiqCatégorie
Computer Science
Année
2024
Date de référencement
11/12/2024
Mots clés
covidRésumé
As a novel virus, COVID introduced considerable uncertainty into the daily lives of people all over the globe since late 2019.
Relying on twenty-three semi-structured interviews with parents whose children contracted COVID, we analyzed how the use of social media moderated parental uncertainty about the symptoms, prognosis, long-term potential health ramifications of infection, vaccination, and other issues.
We framed our findings using Mishel's Uncertainty in Illness theory.
We propose new components to the theory that account for technological mediation in uncertainty.
We also propose design recommendations to help parents cope with health uncertainty using social media.
Joy, Karen,Liang, Michelle,Ammari, Tawfiq, 2024, "If it has an exclamation point, I step away from it, I need facts, not excited feelings": Technologically Mediated Parental COVID Uncertainty
Systematic Feature Design for Cycle Life Prediction of Lithium-Ion Batteries During Formation
cycle prediction framework feature design features life formation
