With a new year approaching, many people around the world will gather with friends and family to celebrate. What is one commonality across cultures to celebrate? Food! BIOPAC provides software and hardware that allows research teams to study physiological measures to see how people interact with food. Here are a few notable studies using BIOPAC equipment for ECG, EDA, and EMG signals.
Hungry for Virtual Reality?
Could VR be used as a new tool to study the effect of the eating environment on food intake and eating behavior? By measuring heart rate with an MP36R, these researchers were able to see how different virtual environments affected participants’ behavior while eating pizza. Read the full study: Virtual Reality as a Tool to Study the Influence of the Eating Environment on Eating Behavior: A Feasibility Study (James H. Oliver and James H. Hollis)
Better Company, Better Food?
How does the sociality of a meal influence our emotional experience of it? When we eat with people we’re familiar with, do we rate the food better than if we eat alone or with complete strangers? This study captured facial EMG data through a BIOPAC Data Acquisition System to see how people reacted when eating in both scenarios. Read the full study: The influence of social context on food-evoked emotion (Elizabeth Cassandra Nath)
Psycho About Food
Every single day we face a multitude of food options. This has made it easier for people to overeat from beloved restaurants, chains, or even home. By measuring electrodermal activity with a BIOPAC MP160 and EDA electrodes, researchers were able to assess the psychophysiological responses to food cues that influence food intake and food choices. Read the full study: Investigation of eye tracking, electrodermal activity and facial expressions as biometric signatures of food reward and intake in normal weight adults (Hanne Pedersen, Jonas Salling Quist, Marie Moller Jensen, Kim Katrine Bjerring Clemmensen, Dorte Vistisen, Marit Eika Jorgensen, Kristine Faerch, Graham Finlayson)
Join BIOPAC to learn about Argus ETVision eye tracking glasses and how to integrate with AcqKnowledge software.
You will learn:
– How to optimize the glasses setup
– How to use the glasses for in-lab and mobile applications
– How to import and synchronize logged data from the glasses
– How to analyze the data using ETAnalysis
– How to create Moving and Live Areas of Interest
– How to extract eye tracking measurements in AcqKnowledge with physiological data
On Demand Playback
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Eye tracking technology has come a long way and has enabled researchers to conduct mobile experiments and track participants in real world scenarios. These featured studies demonstrate some of the use cases for mobile eye tracking technology. Here are some recent studies that have used BIOPAC systems for eye tracking research… Drivers’ gaze patterns when resuming […]
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