Publications of Youth@Night sorted by title
A
| After how many drinks does someone experience acute consequences-determining thresholds for binge drinking based on two event-level studies: Optimal thresholds for binge drinking, , , and , in: Addiction, 113(12):2235-2244, 2018 |
[DOI] [URL] |
C
| Capturing drinking and nightlife behaviours and their social and physical context with a smartphone application - investigation of users' experience and reactivity, , , , , , , and , in: Addiction Research and Theory, 28(1):62-75, 2020 |
[DOI] [URL] |
| CommuniSense: Crowdsourcing Road Hazards in Nairobi, , , , , , and , in: Proceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services, Copenhagen, Denmark, pages 445-456, ACM, 2015 |
[DOI] [URL] |
| Context is Everything: Using a Smartphone App to Capture Young People's Drinking Behaviours, Cognitions, Environments, and Consequences, , La Trobe University, Melbourne, Australia, 2020 |
[DOI] |
D
| Development of the Geographical Proportional-to-size Street-Intercept Sampling (GPSIS) method for recruiting urban nightlife-goers in an entire city, , , , , , , and , in: International Journal of Social Research Methodology, 20(6):721-736, 2017 |
[DOI] |
| DrinkSense: Characterizing Youth Drinking Behavior using Smartphones, , , , , and , in: IEEE Transactions on Mobile Computing, 2018 |
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I
| InnerView: Learning Place Ambiance from Social Media Images, , and , in: Proceedings of the 24th ACM International Conference on Multimedia, ACM, 2016 |
[DOI] |
| Insiders and Outsiders: Comparing Urban Impressions between Population Groups, , and , in: International Conference on Multimedia Retrieval, ACM, 2017 |
[DOI] |
L
| Looking at Cities in Mexico with Crowds, , and , in: Proceedings of the 2015 Annual Symposium on Computing for Development, London, United Kingdom, pages 127-135, ACM, 2015 |
[DOI] [URL] |
| Looking South: Learning Urban Perception in Developing Cities, , and , in: ACM Transactions on Social Computing, 2018 |
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| Loud and Trendy: Crowdsourcing Impressions of Social Ambiance in Popular Indoor Urban Places, and , in: Proceedings of the 23rd ACM International Conference on Multimedia, Brisbane, Australia, pages 211-220, ACM, 2015 |
[DOI] [URL] |
S
| Shooting shots: Estimating alcoholic drink sizes in real life using event-level reports and annotations of close-up pictures, , , and , in: Drug and Alcohol Review, 2020 |
[DOI] [URL] |
T
| Ten seconds of my nights: exploring methods to measure brightness, loudness and attendance and their associations with alcohol use from video clips, , , , , and , in: PLOS ONE, 2021 |
[DOI] |
| The emotional entanglements of smartphones in the field: On emotional discomfort, power relations, and research ethics, , , , , and , in: Area, 52(1), 2020 |
[DOI] [URL] |
| The Night is Young: Urban Crowdsourcing of Nightlife Patterns, , , , , , and , in: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, ACM, 2016 |
[DOI] |
U
W
| What Reminds Young People That They Drank More Than Intended on Weekend Nights: An Event-Level Study, , and , in: Journal of Studies on Alcohol and Drugs, 79(4):644-648, 2018 |
[DOI] [URL] |