AI personalised models based on subjective data
                         Francesca Gasparini1,2,*
                         1
                             University of Milano-Bicocca, Viale Sarca 336, 20126, Milano, Italy
                         2
                             NeuroMI, Milan Center for Neuroscience, Piazza dell’Ateneo Nuovo 1, 20126, Milano, Italy


                                        Abstract
                                        Nowadays wearable devices and environmental sensors allow us to easily collect data related to subjects’ emotions
                                        and behaviour.
                                        Advanced human system interfaces can benefit from this data, taking into account the emotions involved in the
                                        interaction. The affective computing cycle that is the basis of these applications will be presented, highlighting
                                        its limits and potentials. The same kind of data can be extremely useful also in applications that do not imply
                                        active subject interactions, such as remote monitoring especially in case of frail people.
                                        The role of data quality, inter and intra-subject variability will be discussed to provide hints to evaluate the
                                        reliability of personalised AI models.
                                        Case studies will be re presented and critically discussed.

                                        Keywords
                                        Wearable devices, Emotion and behaviour recognition, Advanced human-system interfaces, Affective computing,
                                        Subjective data




                          Italian Workshop on Artificial Intelligence for Human Machine Interaction (AIxHMI 2024), November 26, 2024, Bolzano, Italy
                         *
                           Corresponding author.
                          $ francesca.gasparini@unimib.it (F. Gasparini)
                          € https://mmsp.unimib.it/ (F. Gasparini)
                           0000-0002-6279-6660 (F. Gasparini)
                                        © 2024 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).


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