Nightlife; Young people; Places; Human Activity; Social Media; Ubiquitous Computing; Alcohol consumption
Meegahapola Lakmal Buddika, Labhart Florian, Phan Thanh-Trung, Gatica-Perez Daniel (2021), Examining the Social Context of Alcohol Drinking in Young Adults with Smartphone Sensing, in Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT)
, 5(3), 26-26.
Sajadmanesh Sina, Gatica-Perez Daniel (2021), Locally Private Graph Neural Networks, in ACM Conference on Computer and Communications Security (CCS)
, ACM, New York.
Labhart Florian, Muralidhar Skanda, Massé Benoit, Meegahapola Lakmal Buddika, Kuntsche Emmanuel, Gatica-Perez Daniel (2021), Ten seconds of my nights: exploring methods to measure brightness, loudness and attendance and their associations with alcohol use from video clips, in PLOS ONE
Medina Rios Luis Emmanuel, Ruiz-Correa Salvador, Santani Darshan, Gatica-Perez Daniel (2021), Who Sees What? Examining Urban Impressions in Global South Cities, Springer, New York, 1.
Labhart Florian, Tarsetti Flavio, Bornet Olivier, Santani Darshan, Truong Jasmine, Landolt Sara, Gatica-Perez Daniel, Kuntsche Emmanuel (2020), Capturing drinking and nightlife behaviours and their social and physical context with a smartphone application - investigation of users' experience and reactivity, in Addiction Research and Theory
, 28(1), 62-75.
Smit Koen, Kuntsche Emmanuel, Anderson-Luxford Dan, Labhart Florian (2020), Fun/intoxication pre-drinking motives lead indirectly to more alcohol-related consequences via increased alcohol consumption on a given night, in Addictive Behaviors
Pozo Ada, Phan Thanh-Trung, Gatica-Perez Daniel (2020), Learning Urban Nightlife Routines from Mobile Data, in Proc. Int. Conf. on Mobile and Ubiquitous Multimedia
, ACM, New York.
Labhart Florian, Phan Thanh-Trung, Gatica-Perez Daniel, Kuntsche Emmanuel (2020), Shooting shots: Estimating alcoholic drink sizes in real life using event-level reports and annotations of close-up pictures, in Drug and Alcohol Review
Truong Jasmine, Labhart Florian, Santani Darshan, Gatica-Perez Daniel, Kuntsche Emmanuel, Landolt Sara (2020), The emotional entanglements of smartphones in the field: On emotional discomfort, power relations, and research ethics, in Area
, 52(1), 1.
Phan Thanh-Trung, Labhart Florian, Muralidhar Skanda, Gatica-Perez Daniel (2020), Understanding Heavy Drinking at Night through Smartphone Sensing and Active Human Engagement, in Proceedings International Conference on Pervasive Computing Technologies for Healthcare
, ACM, New York.
Pelzelmayer Katharina, Landolt Sara, Truong Jasmine, Labhart Florian, Santani Darshan, Kuntsche Emmanuel, Gatica-Perez Daniel (2020), Youth nightlife at home: towards a feminist conceptualisation of home, in Children's Geographies
Phan Thanh-Trung, Muralidhar Skanda, Gatica-Perez Daniel (2019), #Drink Or #Drunk: Multimodal Signals and Drinking Practices on Instagram, in Proceedings International Conference on Pervasive Computing Technologies for Healthcare
, ACM, New York.
Phan Thanh-Trung, Muralidhar Skanda, Gatica-Perez Daniel (2019), Drinks & Crowds: Characterizing Alcohol Consumption through Crowdsensing and Social Media, in Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT '19)
Phan Thanh-Trung, Labhart Florian, Gatica-Perez Daniel (2019), My Own Private Nightlife: Understanding Youth Personal Spaces from Crowdsourced Video, in Proc. ACM Hum.-Comput. Interact
, 3, 189.
Gatica-Perez Daniel, Santani Darshan, Biel Joan-Isaac, Phan Thanh-Trung (2019), Social Multimedia, Diversity, and Global South Cities: A Double Blind Side, in Proc. ACM Workshop on Fairness, Accountability, and Transparency in Multimedia (FAT/MM)
, ACM, New York.
Stanesby Oliver, Labhart Florian, Dietze Paul, Wright Cassandra, Kuntsche Emmanuel (2019), The contexts of heavy drinking: A systematic review of the combinations of context-related factors associated with heavy drinking occasions, in PLOS ONE
, 14(7), 29-29.
Labhart Florian, Engels Rutger, Kuntsche Emmanuel (2018), What Reminds Young People That They Drank More Than Intended on Weekend Nights: An Event-Level Study, in Journal of Studies on Alcohol and Drugs
, 79(4), 644-648.
Can Gulcan, Benkhedda Yassir, Gatica-Perez Daniel (2018), Ambiance in Social Media Venues: Visual Cue Interpretation by Machines and Crowds, in 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
, Salt Lake City, UT, USAIEEE/CVF, New York.
Labhart Florian, Kuntsche Emmanuel, Livingston Michael, Engels Rutger (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, in Addiction
, 113(12), 2235-2244.
Santani Darshan, Do Trinh-Minh-Tri, Labhart Florian, Landolt Sara, Kuntsche Emmanuel, Gatica-Perez Daniel (2018), DrinkSense: Characterizing Youth Drinking Behavior using Smartphones, in IEEE Transactions on Mobile Computing
Santani Darshan, Ruiz-Correa Salvador, Gatica-Perez Daniel (2018), Looking South: Learning Urban Perception in Developing Cities, in ACM Transactions on Social Computing
Phan Thanh-Trung, Gatica-Perez Daniel (2017), #Healthy #fondue #dinner: Analysis and inference of food and drink consumption patterns on instagram, in Proc. International Conference on Mobile and Ubiquitous Multimedia
, Stuttgart GermanyACM, New York.
Benkhedda Yassir, Santani Darshan, Gatica-Perez Daniel (2017), Venues in Social Media: Examining Ambiance Perception Through Scene Semantics, in Proc. ACM Multimedia Conference
, Mountain View California USAACM, New York.
Building upon a first collaboration that produced unique data about the behavior of young people at night in Switzerland (mobile phone sensors, log data, in-situ surveys, photos of drinks, videos of places, and semi-structured interviews), the project will develop methods cutting across ubiquitous computing, addiction science, and human geography with three goals: (1) Understand the role of private spaces in youth nightlife, while identifying discriminant features that characterize nightlife patterns including place ambiance, performed activities, and alcohol consumption. (2) Infer nightlife activities based on sensor and video data and machine learning, including the dynamic characterization of popular nightlife areas using multiple data sources. (3) Investigate the attributes of drinks in different contexts, the accuracy of event-level, self-reported alcohol consumption compared to manually coded information obtained from beverage photos, and the feasibility of inferring attributes of the physical environment based on characteristics of drink photos.To address these goals, our team has defined an interdisciplinary, mixed-method approach to understand the intersection of nightlife and youth in Switzerland. The intended outcomes of the project include scientific publications, training of young researchers, and broader impact. First, several scientific articles communicating the research results are planned to be written. Second, the project will provide researchers in our team with opportunities for interdisciplinary training with respect to methods of all the disciplines involved. Concerning broader impact, our project intends to provide transferable knowledge to city officials, including a better understanding of the dynamics of use of private and public spaces and alcohol consumption, and possible connections between human activity indicators and reported city incidents.