Published September 30, 2023
| Version v1
Dataset
Restricted
Food Choices After Cognitive load: An Affective Computing Approach
Description
The dataset was gathered to examine the impact of cognitive load on eating behavior. It comprises three primary datasets:
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Shimmer GSR+ device sensor data: This encompasses various sensor measurements such as galvanic skin response (electrodermal activity), photoplethysmography, accelerometer, gyroscope, magnetometer, temperature, and pressure data.
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Food consumption: This data records the quantities of fruits, vegetables, snacks, and liquids consumed during the experiment, measured in grams and milliliters.
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Questionnaires: This includes the NASA-TLX questionnaire to assess workload and the PANAS questionnaires to measure affective states.