Data Collection at the Lunch Lines
University of Turku is responsible for the research activities and technology of the platform. In the restaurant, data is collected on customers’ lunch choices and quantities, as well as on the plate waste that customers produce.
Customers can choose to use the My Flavoria® research app, which allows them to save the nutritional information of their meal in the app. At the same time, the data is transferred to the university for research purposes. In studies, the data is analyzed without personal information.
Research Possibilities in the Restaurant
Flavoria’s restaurant offers a variety of research possibilities, including:
- research based on long-term or short-term lunch line data
- research based on cash register data
- various interventions at the lunch line or bio-waste station
- testing new ingredients or meals in a real selection situation at the lunch line
- testing new technology
- consumer research
If you have a study you would like to conduct at Flavoria, feel free to contact us. Our team is happy to assist with designing the setup.
Publications from Studies Conducted in the Restaurant
Designing a Toolkit for Evaluating HCI Guidance Systems in Physical Spaces: Case of Flavoria Research Lunch Line
Koivunen, Lauri; Papalitsas, Aleksi; Khursheed, Muhammad Ismail; Akar, Ecem; Lehtojärvi, Susanna; Islas Sedano, Carolina A.; Järvi, Jaakko
CHI EA ’25: Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems. Article No.: 668, Pages 1 – 10
Sensory characteristics of a place: The development of the sensory walk questionnaire.
Pohjanheimo, Terhi; Hopia, Anu (2023)
Nudging Finnish Adults into Replacing Red Meat with Plant-Based Protein via Presenting Foods as Dish of the Day and Altering the Dish Sequence.
Nykänen, Esa-Pekka; Hoppu, Ulla; Löyttyniemi, Eliisa; Sandell, Mari
Nutrients 2022, 14, 3973
Camera-Based Meal Type and Weight Estimation in Self-Service Lunch Line Restaurants.
Sarapisto, Teemu; Koivunen, Lauri; Mäkilä, Tuomas; Klami, Arto; Ojansivu, Pauliina
12th International Conference on Pattern Recognition Systems (ICPRS), 2022
Increasing Customer Awareness on Food Waste at University Cafeteria with a Sensor-Based Intelligent Self-Serve Lunch Line.
Koivunen, Lauri; Laato, Samuli; Rauti, Sampsa; Naskali, Juhani; Nissilä, Petri; Ojansivu, Pauliina; Mäkilä, Tuomas; Norrdal, Mari
International Conference on Engineering, Technology and Innovation (ICE) -seminaariartikkeli