Dr. Vasileios Mygdalis from the University of Antwerp and Dr. V. P. Oikonomou from the Centre for Research & Technology Hellas have organised and chaired a special session titled “Signal processing for consumer behavior analysis” in the European Signal Processing Conference (EUCIPCO 2024) in Lyon, France. The description of the topic is the following:
Marketing studies on consumer behavior analysis increasingly depend on signal processing techniques for extracting objective and reliable independent variables that are less prone to variances introduced by self-reported variables and metrics. Advanced and expensive sensors (e.g., eye-trackers and electroencephalograms) have been employed to collect consumer-independent spatiotemporal high-dimensional data, mainly including video recordings and electrical signals corresponding to some given input stimuli e.g., a visual advertisement. Neuromarketing, being a multidisciplinary domain, studies and develops methods and tools for extracting advanced consumer behavior insights by analyzing human behavioral data from sensors, facilitating and streamlining marketing studies. Until recently, the domain had been dominated by marketing researchers who employed specialized proprietary solutions. However, researchers are beginning to prioritize research reproducibility, sharing data and employing open source solutions (having performance comparable to proprietary ones) for conducting the analysis. The main goal of this special session is to identify and propose such methods and tools that can be used for streamlining marketing analysis, encouraging works that provide open data/codes and transparent experimental baselines.
It consisted of 5 papers which are available on the EURASIP repository:
Georgiadis, Kostas, Centre for Research & Technology Hellas (CERTH), Greece Kalaganis, Fotis P., Centre for Research & Technology Hellas (CERTH), Greece Laskaris, Nikos A., Aristotle University of Thessaloniki, Greece Nikolopoulos, Spiros, Centre for Research & Technology Hellas (CERTH), Greece Kompatsiaris, Ioannis, Centre for Research & Technology Hellas (CERTH), Greece
Yfantidou, Ioanna, Liverpool John Moores University, United Kingdom Tsourvakas, Georgios, National and Kapodistrian University of Athens, Greece Oikonomou, Vangelis, Centre for Research & Technology Hellas, Greece Kompatsiaris, Ioannis, Centre for Research & Technology Hellas, Greece
Kyrou, Maria, Centre for Research and Technology Hellas, Greece P Kalaganis, Fotis, Centre for Research and Technology Hellas, Greece Georgiadis, Kostas, Centre for Research and Technology Hellas, Greece Nikolopoulos, Spiros, Centre for Research and Technology Hellas, Greece A Laskaris, Nikos, Aristotle University of Thessaloniki, Greece Kompatsiaris, Ioannis, Centre for Research and Technology Hellas, Greece
WE2.SC4.4: IMPLICIT TRAIN-FREE CALIBRATION FOR VIDEO-BASED EYE-TRACKING
Mygdalis, Vasileios, University of Antwerp, Belgium Dens, Nathalie, University of Antwerp, Belgium
WE2.SC4.5: LIGHTWEIGHT HUMAN GESTURE RECOGNITION USING MULTIMODAL FEATURES
Christidis, Anestis, Aristotle University of Thessaloniki, Greece Papaioannidis, Christos, Aristotle University of Thessaloniki, Greece Mademlis, Ioannis, Aristotle University of Thessaloniki, Greece Pitas, Ioannis, Aristotle University of Thessaloniki, Greece
More details can be found here.