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Erik Franco – Pagina 23 – Progress in Research

Discover Emoty, the trainer of emotions

Sometimes, in our imagination, technology takes on a detached, almost cold connotation, influenced by our almost reverential approach to science. In fact, many of the practical applications of those technologies have a concrete effect on the daily and very personal aspects of our social life.

One example concerns the most innovative technologies and applications in the wellness sector, one of the most flourishing research lines at the Politecnico di Milano.

There is a very widespread disorder that people know very little about. It’s called emotional dysregulation. It is a neurodevelopmental disorder (NDD), a framework encompassing a group of conditions characterised by severe deficits in the cognitive, emotional and motor spheres, which produce communication impairments and affect the person’s social life. It is estimated that as much as 10% of the population suffers from this condition at various levels.

Emotional dysregulation is split into several stages of seriousness: from difficulties recognising the emotional state of others, to impediments in the production of their own, to a total inability to identify and recognise them in themselves, a state that is known scientifically as alexithymia.

Fabio Catania, 27, is a PhD student in Information Technology, working in the Emoty project, who has written a thesis on the use of conversational technologies and affective computing to support neurodevelopmental disorders.

fabio catania emoty

The Emoty project uses technology with a view to alleviating the difficulties of some people in recognising and expressing emotions.
It is not a virtual assistant supporting everyday life; it is more of a “coach” that helps to develop better emotional control and self-awareness, so as to improve communication skills and consequently quality of life.
The project has been developed in close collaboration with psychologists, linguists, therapists, neurologists, caregivers and people with neurodevelopmental disorders.

Emoty is based on conversational technologies, one of the research topics explored by the I3lab laboratory, where Catania is conducting his thesis. Conversational technologies are those we use every day when we interact with the well-known voice assistants.
It is basically a voice that dialogues in Italian on screen, conversing with users in a natural language and entertaining them with chats and educational games.
Its goal is to stimulate conversation. There are many people who do not feel comfortable interacting with others. For them, communicating with a computer is an advantage as it involves a single channel of interaction, eliminating nonverbal communication, which can be difficult and distracting.

Emoty offers a variety of games, so as to engage users in a fun and interactive manner.
For example, one of Emoty’s activities involves uttering a phrase spoken with a certain intonation and then asking the user: “What emotion is being expressed?”.
Alternatively, it displays a phrase on the screen and then asks the user to repeat it, expressing a certain emotion by modulating their tone of voice.
At that point, drawing on artificial intelligence, Emoty uses machine learning and deep learning techniques to process the audio track, identify which emotion was actually transmitted by the user’s tone of voice, and give feedback.

emoty

To be more effective from a therapeutic point of view, Emoty needs to train to recognize emotions in the tone of the voice, to become more precise and accurate. Therefore, an online platform has been created, open to everyone, to contribute by providing audio from which to learn.

Experiments have been carried out on children to verify their perception of the application and its usability.
The results were twofold. Sometimes they appreciated the human characteristics of Emoty, interacting with the machine as they would interact with a person. At other times they recognised the characteristics of a machine, endowing the computer with the authority and infallibility that only an electronic computer can have.

It is still too early to tell what the data reveal, as collection is still in progress. However, we have noticed an improvement in the children’s performance as they played with Emoty.

Information Hub for alternative financing options

Tag: Finance, Information hub, alternative finance, knowledge exchange
Researcher: Chiara Franzoni
Department: DIG – Department of Management, Economics and Industrial Engineering

Innovation in leadership and finance had been one of the missions of Horizon 2020. The EU funded ALTFInator project Horizon 2020 addressed this with the goal of easing the access to risk finance for companies and supporting innovation of SMEs across Europe.

ALTFInator developed alternative forms of finance for innovative SMEs with a specific geographical location: countries in Southern, Central and Eastern Europe have less opportunities and know-how of alternative financing, this is true for small and medium enterprises. The rationale behind the project was to map the existing financing framework in the participating countries; to collect and make accessible resource material to entrepreneurs and investors, as well as creating a matching architecture of supply and demand, raising awareness of financing alternatives and best practices through workshops and seminars.

The project concluded in April 2020 with the creation of the dedicated web page: an information database of resource material, news, and available financial providers. Among the relevant outcomes, there are national workshops, international best practice workshops and public roundtables.

FReSMe

Manufacturing methanol from carbon dioxide and hydrogen contained in the residual gases of steel production. This is the aim of the FReSMe (From Residual Steel gases to Methanol) project, funded by the Horizon 2020 research and innovation programme, concluded after four years of work.

The researchers estimate that with the FReSMe system, carbon dioxide emissions in Italian steel plants could be reduced by 61% compared to the current situation, which is much higher than with conventional CO2 capture technologies.

The process implemented by FReSMe is based on the SEWGS (Sorption Enhanced Water-Gas Shift) system which, starting from steel mill gases, produces two streams rich in carbon dioxide and hydrogen. The resulting hydrogen is partly used in the steelworks itself as a fuel, partly used to produce energy and partly transformed into methanol. The retained carbon dioxide is partially used for methanol production, while the excess is stored underground. Lastly, an electrolyser has been integrated into the system to increase methanol production.

The role of the Politecnico di Milano was to identify the ideal plant configuration, given the multiple possibilities of using hydrogen (use in steelworks, production of energy or methanol) through a detailed technical-economic analysis of the entire system. The aim of this analysis was to optimise the plant from an energy, environmental and economic point of view.

More specifically, various plant configurations were analysed, characterised by different volumes of methanol produced and different solutions for recovering the heat available in the process, as well as different quantities of hydrogen produced by the electrolyser. The results showed that the process can significantly reduce carbon dioxide emissions related to the steel production process.

During the project, we also carried out a technical-economic analysis aimed at optimising the FReSMe process in terms of methanol production volume and plant configuration, considering four methanol production capacities (300, 600, 900 and 1200 t/day)

says Professor Giampaolo Manzolini, the Politecnico di Milano’s contact person for the project.

The results showed that the optimal configuration with a carbon tax of less than €60/tonne and a methanol selling price in the range of €350-450/tonne, is characterised by a production of 600 tonnes/day: thus, using half of the steel mill gas to produce methanol and half to meet the needs of the steel mill itself. In general, the avoided CO2 cost is less than 20 €/tCO2, which is economically competitive, and the FReSMe system in this configuration allows a 61% reduction in carbon dioxide emissions, which is much higher than what could be achieved with conventional CO2 capture technologies (e.g. with amines it is about 17%).

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