Please use this identifier to cite or link to this item: http://hdl.handle.net/10071/21622
Author(s): Teles, B.
Mariano, P.
Santana, P.
Date: 2020
Title: Game-like 3D visualisation of air quality data
Volume: 4
Number: 3
ISSN: 2414-4088
DOI (Digital Object Identifier): 10.3390/mti4030054
Keywords: Scientific data visualisation
Virtual environments
Game engine
Air quality
Sensor network
Abstract: The data produced by sensor networks for urban air quality monitoring is becoming a valuable asset for informed health-aware human activity planning. However, in order to properly explore and exploit these data, citizens need intuitive and effective ways of interacting with it. This paper presents CityOnStats, a visualisation tool developed to provide users, mainly adults and young adults, with a game-like 3D environment populated with air quality sensing data, as an alternative to the traditionally passive visualisation techniques. CityOnStats provides several visual cues of pollution presence with the purpose of meeting each user’s preferences. Usability tests with a sample of 30 participants have shown the value of air quality 3D game-based visualisation and have provided empirical support for which visual cues are most adequate for the task at hand.
Peerreviewed: yes
Access type: Open Access
Appears in Collections:ISTAR-RI - Artigos em revistas científicas internacionais com arbitragem científica

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