The research project aims to develop methodologies that, supported by existing technologies, can create innovative services.
The scenario under consideration is one in which there is interest in detecting the levels of harmony in one or more individuals in relation to a series of events and external stimuli.
This refers, for example, to measuring the gradient of satisfaction of an interlocutor, the happiness gradient of an interviewee, or the interest gradient of a student during a lesson, etc.
From this perspective, the innovation and utility of the Project lie in the desire to understand the harmony between interacting people, and in measuring the increase in knowledge, preparation, or interest that occurs after a dialogue, lesson, investigation, or group experience.
– Information Technology (architecture and processing systems) and includes certain electronic applications. Currently, devices with some of these functionalities exist, such as lie detectors, but they are generally unusable in real contexts and are often unacceptable to users due to their invasive nature.
to use currently available technologies to create value-added services. Specifically, by using devices such as smartphones, tablets, and the latest-generation laptops, software associated with appropriate sensors could be used to acquire information about the emotional state of the person being monitored. The data referred to comes from the human body when subjected to certain physical-emotional stimuli. By cross-referencing this data, psychological models could be used to reconstruct the satisfaction gradient of an interlocutor, the happiness gradient of an interviewee, the interest gradient of a student during a lesson, etc.
Additionally, during the project, the use of ontological formalism will be explored to verify what has been effectively shared by the users. In practice, before a meeting, gathering, or lesson, each user has their own representation of the issue to be discussed, essentially their own ontology on the subject. The project will study a series of algorithms capable of constructing the initial and final ontology for each individual, comparing them through the use of appropriate metrics. The more similar these ontologies are, the more effective the event will have been.
As previously argued, there will be no need for sophisticated invasive equipment; instead, we will simply take advantage of modern devices, introduce models from psychology that link physical-emotional parameters to a person’s state, and develop dedicated software that can collect data using non-invasive devices, similar to iPods in form and size. The goal is to create software that can be installed on equipment used during personnel interviews, or even during casual conversations with people not necessarily being evaluated for employment. The software could also be installed on the latest mobile devices, used during face-to-face meetings between subjects, to highlight auditory and visual reactions indicating complicity, interest, or convergence (in a word, synergy) between the parties involved. The software should be able to detect movement, as well as allow for recording, to process images and sounds and convert the findings into summary result indicators.
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