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Addressing the Challenges of COVID-19 Social Distancing Through Passive Wi-Fi and Ubiquitous Analytics: A Real World Deployment
18th IFIP TC 13 International Conference on Human-Computer Interaction, INTERACT 2021 ; 12933 LNCS:3-24, 2021.
Article in English | Scopus | ID: covidwho-1437144
ABSTRACT
During the COVID-19 pandemic, social distancing measures were employed to contain its spread. This paper describes the deployment and testing of a passive Wi-Fi scanning system to help people keep track of crowded spaces, hence comply with social distancing measures. The system is based on passive Wi-Fi sensing to detect human presence in 93 locations around a medium-sized European Touristic Island. This data is then used in website plugins and a mobile application to inform citizens and tourists about the locations’ crowdedness with real-time and historical data. To understand how people react to this type of information, we deployed online questionnaires in situ to collect user insights regarding the usefulness, safety, and privacy concerns. Results show that users considered the occupancy data reported by the system as positively related to their perception. Furthermore, the public display of this data made them feel safer while travelling and planning their commute. © 2021, IFIP International Federation for Information Processing.

Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 18th IFIP TC 13 International Conference on Human-Computer Interaction, INTERACT 2021 Year: 2021 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 18th IFIP TC 13 International Conference on Human-Computer Interaction, INTERACT 2021 Year: 2021 Document Type: Article