Measuring behaviour in food- & consumerstudies using intelligent devices, smart data & mixed method strategies

Mikkelsen, B. E. (Lecturer)

Activity: Talks and presentationsConference presentations

Description

Public health nutrition research is traditionally based on measuring outcome in a self reported manner and collecting data using “worded” methods. However the digital transition is changing this. Understanding complex interactions and mechanisms in foodscapes can benefit from using visual IT assisted methods. It holds the potential to provide new and more rich insight into complex social phenomena such as cooking, serving and eating. This presentation takes as a point of departure the challenges related to capturing insight in the broad category of foodscape studies. The presentation gives examples of approaches to measuring behaviour in food- & consumer studies using intelligent devices, smart data & mixed method strategies. It gives an introduction to foodscape studies, intelligent biometric devices such as the Facereader and iMotions suite, computer vision methods for food applications, smart food data collection using loyalty cards as well as mixed method strategies such as foodscape walkabouts.
Period5 Nov 2019
Event typeCourse
Location
Degree of RecognitionNational