Modelling in Marketing Research

This book offers a comprehensive approach to modelling visual behaviour in marketing research, particularly through the lens of various types of Hidden Markov Models, including a new linguistic pattern-based version. It explores the critical role of visual behaviour in customer decision-making processes. By elaborating on the methodology of applying Hidden Markov Models to eye-tracking data, the author provides a structured approach to analysing visual processing in marketing contexts.

Readers will gain a better understanding of how visual behaviour influences marketing effectiveness, supported by detailed modelling techniques and real-world eye-tracking experiments. The book presents a unique integration of linguistic patterns based on fuzzy sets with Hidden Markov Models, enhancing modelling flexibility and the understanding of customer behaviour. Additionally, it includes a scientific modelling lifecycle focused on employing various types of Hidden Markov Models in eye-tracking research and their practical applications in marketing research.

Aimed at marketing researchers, data scientists, and professionals, this book provides valuable insights into advanced analytical techniques, fostering a deeper understanding of customer visual behaviour. It is an essential resource for those seeking to leverage Hidden Markov Models for theoretically interesting and practically useful research outcomes within the marketing context. 

Rafał Michalski  is a Professor at Wrocław University of Science & Technology, Poland. His research spans visual processing in marketing using Markov models, design in ergonomics and human–computer interaction, as well as production optimization involving fuzzy sets. He has authored and co-authored over 100 scientific publications, many in prestigious journals (cumulative IF > 100).