The Institute of Robotics presented the results of AI-oriented research, merging the Quality of Life scale and the Intensity of Supports scale quantitatively.

The Institute of Robotics for Dependency presented the final results of the extensive research on the application of artificial intelligence in the quality of life scale and the intensity of support at the 24th edition of the International Congress of the Catalan Association of Artificial Intelligence (CCIA), which was held in Sitges between 19 and 21 October.

In a commitment to innovation and artificial intelligence, the Institute of Robotics continues its research in the field of active, healthy ageing and dependence to increase the quality of life of the population. After several years of work on improving people’s living conditions, the IRD has been dedicatedly following the Quality of Life index, a very important tool for the continuous improvement of social services, which facilitates the implementation of care and support plans that are more personalised and appropriate to the current and future needs of users. Moreover, this instrument is already integrated in Never Alone, a support for personal autonomy and independent living developed by the Institute.

Alongside the Quality of Life scale, the IRD has worked on the Intensity of Supports scale, another key tool in the research, which allows the assessment and planning of the support needs of adults with intellectual disabilities, and in its effect also improves their quality of life. The correlation between the two scales serves to continue our mission to improve people’s lives through research, robotics, science and technology.

The Artificial Intelligence oriented research fusing the Quality of Life scale and the Intensity of Supports Scale carried out by the Robotics Institute was presented at the CCIA, and has been carried out through the project developed by Benigno Moreno (IRD patron and researcher in psychology and neuroscience at the University of Barcelona), Personalised prediction of the quality of life of a person with intellectual disability using machine learning.

The research was carried out in collaboration with the University of Allahabad (India) and the Rovira i Virgili University, with the scientific group formed by Gaurav Kumar Yadav, Mohamed Abdel-Nasser, Hatem A. Rashwan, Domenec Puig and G.C. Nandi, as well as Sara Dueñas from the IRD, as experts in machine learning and computer science.

IRD’s representative at the Congress, Benigno Moreno, explained how the Quality of Life Scale (CV-GenCat) and the Scale Intensity Support (SIS) have been merged, and how in a quantified and empirically based way it has been possible to define the Platinum Ratio to act on the quality of life at a group and personal level for any person, with invariant weights for Physical Well-being of 35%, Emotional Well-being of 28% and Material Well-being of 11% (representing 74% of Quality of Life between the three factors), which are subsequently modulated in terms of each situation of the personal dimensions in particular and with the other five dimensions of quality of life.

The importance of Quality of Life can be seen from the following table:

Quality of Lives' Table

Quality of Lives’ Table


The result has been verified in the database of two populations within the world of disability with functional diversity, the Elderly and Mental Health, with an accuracy and reliability of the adjustment of the functional algorithms, above 99.5% in all cases.