000000354 001__ 354
000000354 005__ 20221031185257.0
000000354 037__ $$aLERSSE-RefConfPaper-2022-005
000000354 100__ $$aYue Huang
000000354 245__ $$aUsers’ Expectations, Experiences, and Concerns With COVID Alert, an Exposure-Notification App
000000354 260__ $$c2022-11-01
000000354 300__ $$amult. p
000000354 520__ $$aWe conducted semi-structured interviews with 20 users of Canada’s exposure-notification app, COVID Alert. We identified several types of users’ mental models for the app. Participants’ concerns were found to correlate with their level of understanding of the app. Compared to a centralized contact-tracing app, COVID Alert was favored for its more efficient notification delivery method, its higher privacy protection, and its optional level of cooperation. Based on our findings, we suggest decision-makers rethink the app’s privacy-utility trade-off and improve its utility by giving users more control over their data. We also suggest technology companies build and maintain trust with the public. Further, we recommend increasing diagnosed users’ motivation to notify the app and encouraging exposed users to follow the guidelines. Last, we provide design suggestions to help users with Unsound and Innocent mental models to better understand the app.
000000354 6531_ $$auser study
000000354 6531_ $$aCOVID-19 exposure-notification apps
000000354 6531_ $$amental models
000000354 6531_ $$aprivacy concerns
000000354 700__ $$aBorke Obada-Obieh
000000354 700__ $$aSatya Lokam
000000354 700__ $$aKonstantin Beznosov
000000354 8560_ $$flersse-it@ece.ubc.ca
000000354 8564_ $$uhttp://lersse-dl.ece.ubc.ca/record/354/files/yue_cscw.pdf
000000354 909C4 $$pYue Huang, Borke Obada-Obieh, Satya Lokam, and Konstantin Beznosov. 2022. Users’ Expectations, Experiences, and Concerns With COVID Alert, an Exposure-Notification App. Proceeding of ACM Human-Computer Interact. 6, CSCW2, https://doi.org/10.1145/3555770
000000354 980__ $$aRefConfPaper