Keywords:
- alcohol drinking
- Alcohol expectancies
- alcohol use
- Alcohol-related consequences
- Alcoholic beverages
- Assessment reactivity
- brazil
- canada
- Circumplex model of affect
- computer algorithm
- denmark
- Drink size
- Drinking behaviours
- drinking context
- Ecological momentary assessment
- Ecological momentary assessment (EMA)
- ethanol
- greece
- ireland
- Long-tail data distribution
- multilevel analysis
- new zealand
- Nightlife
- Picture annotation
- Pre-drinking motives
- Recruitment method
- Response burden
- Smartphone application
- social media
- Standard drink
- Video annotation
- Young adolescence
- young adults
Publications of Florian Labhart
2021
| Examining the Social Context of Alcohol Drinking in Young Adults with Smartphone Sensing, , , and , in: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 5(3):26, 2021 |
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| 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 |
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2020
| 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] |
| 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] |
| Do different drinks make you feel different emotions? Examination of young adolescents' beverage-specific alcohol expectancies using the Alcohol Expectancy Task, , , and , in: Addictive Behaviors, 2020 |
[DOI] [URL] |
| Fun/intoxication pre-drinking motives lead indirectly to more alcohol-related consequences via increased alcohol consumption on a given night, , , and , in: Addictive Behaviors, 2020 |
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| 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 |
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| The emotional entanglements of smartphones in the field: On emotional discomfort, power relations, and research ethics, , , , , and , in: Area, 52(1), 2020 |
[DOI] [URL] |
| Understanding Heavy Drinking at Night through Smartphone Sensing and Active Human Engagement, , , and , in: Proceedings of the 14th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2020 |
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| Youth nightlife at home: towards a feminist conceptualisation of home, , , , , , and , in: Children's Geographies, 2020 |
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2019
| My Own Private Nightlife: Understanding Youth Personal Spaces from Crowdsourced Video, , and , in: Proc. ACM Hum.-Comput. Interact, 3(189), 2019 |
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| The contexts of heavy drinking: A systematic review of the combinations of context-related factors associated with heavy drinking occasions, , , , and , in: PLOS ONE, 14(7):29, 2019 |
[DOI] [URL] |
| The Role of Sex and Age on Pre-drinking: An Exploratory International Comparison of 27 Countries, , , , and , in: Alcohol and Alcoholism, 54(4):378–385, 2019 |
[DOI] |
2018
| 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] |
| DrinkSense: Characterizing Youth Drinking Behavior using Smartphones, , , , , and , in: IEEE Transactions on Mobile Computing, 2018 |
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| 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] |
2017
| 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] |
2016
| 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] |