Scientific publications and articles are the result of our research activities in the fields of psychology and applied neuroscience concerning widely diverse cases of human experience. Many areas of our research are linked to or inspired by the world of marketing, which is often referred to as “neuromarketing”, but we believe this term to be inadequate. People do not buy products, but rather they live experiences, both during the purchase process and the fruition of the product or service they have chosen. This awareness, gained over the years, is the engine that drives us to want to understand every aspect of those experiences in order to improve them for the people who live them. We do this through the projects we follow for our clients, but even more so through a scientific methodology that substantiates results for the entire scientific community.

Our researchers, certified psychologists, neuroscientists, and engineers, have skills that also relate to humanistic fields, such as anthropology and sociology, as well as mathematical fields, such as statistics and data analysis. Their scientific publications are therefore the result of their dedication and passion, of the combination of knowledge derived from our mixed-methods approach and of the collaboration between TSW and accredited institutes such as universities and research centres.

We have therefore gathered the scientific papers of our researchers, written in collaboration with other sector professionals, and the most significant examples of our research activities here on this page.

31 JAN 2006

Automatic Quantitative Evaluation of Emotions in e-Learning Applications

Authors: S Scotti, M Mauri, R Barbieri, B Jawad, S Cerutti, L Mainardi, E N Brown, M Villamira

Journal: 28 IEEE International Conference of the Engineering in Medicine and Biology Society

The long-term goal of our research is to develop a tool for recognizing human emotions during e-learning processes. This could be accomplished by combining quantitative indexes extracted from non-invasive recordings of four physiological signals: namely skin conductance, blood volume pulse, electrocardiogram and electroencephalogram. Wearable, non-invasive sensors, communicating with a PC, were applied to 30 students and data were collected during exposure to three different computer-mediated content stimuli designed to evoke specific emotional states: stress, relaxation and engagement. In this paper we describe both the general emotion evaluation algorithm, and present a preliminary result suggesting that some of the quantitative indexes may be successful in characterizing and distinguishing between the three different emotional states.

Related articles: