Food Choices After Cognitive load: An Affective Computing Approach

The dataset was gathered to examine the impact of cognitive load on eating behavior. It comprises three primary datasets: 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. Food consumption: This data records the quantities of fruits, vegetables, snacks, and liquids consumed during the experiment, measured in grams and milliliters. Questionnaires: This includes the NASA-TLX questionnaire to assess workload and the PANAS questionnaires to measure affective states.