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Passenger Perceptions, Information Preferences, and Usability of Crowding Visualizations on Public Displays in Transit Stations and Vehicles
Conference on Human Factors in Computing Systems - Proceedings ; 2023.
Article in English | Scopus | ID: covidwho-20245332
ABSTRACT
Large crowds in public transit stations and vehicles introduce obstacles for wayfinding, hygiene, and physical distancing. Public displays that currently provide on-site transit information could also provide critical crowdedness information. Therefore, we examined people's crowd perceptions and information preferences before and during the pandemic, and designs for visualizing crowdedness to passengers. We first report survey results with public transit users (n = 303), including the usability results of three crowdedness visualization concepts. Then, we present two animated crowd simulations on public displays that we evaluated in a field study (n = 44). We found that passengers react very positively to crowding information, especially before boarding a vehicle. Visualizing the exact physical spaces occupied on transit vehicles was most useful for avoiding crowded areas. However, visualizing the overall fullness of vehicles was the easiest to understand. We discuss design implications for communicating crowding information to support decision-making and promote a sense of safety. © 2023 ACM.
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Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Experimental Studies / Observational study Language: English Journal: Conference on Human Factors in Computing Systems - Proceedings Year: 2023 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Experimental Studies / Observational study Language: English Journal: Conference on Human Factors in Computing Systems - Proceedings Year: 2023 Document Type: Article