Ricerca in campo socio-sanitario
Esiste la necessità di una approccio olistico quando si vuole affrontare lo studio di sistemi automatici capaci di riconoscere lo stato di salute delle persone che interagiscono con loro e capaci di monitorare la loro salute in modo da ridurre i costi di ospedalizzazione, fornire interventi mirati, e migliorare la qualità di vita dei pazienti.
In questa ottica, il team di comunicazione multimodale diretto dalla Professoressa Anna Esposito, che svolge una ricerca congiunta con la Seconda Università di Napoli, Dipartimento di Psicologia, e l’Istituto Internazionale per gli Alti Studi Scientifici (IIASS) considera fondamentale studiare le dinamiche che sono alla base delle interazioni sociali e possono aiutare ad identificare in anticipo cambiamenti fisici e cognitivi derivanti da problemi di salute e da problemi psicologici. In questo contesto, vengono definiti dei compiti di interazione in specifici scenari per raccogliere dati comportamentali e segnali sociali (come espressioni facciali e vocali, gesti, posture) espressi da pazienti e persone sane, siano essi adulti oppure bambini.
I dati raccolti vengono analizzati con tecniche statistiche e automatiche per identificare le differenze tra pazienti e persone sane e analizzare come la malattia ne cambia la condotta.
Durante gli ultimi 10 anni il team si è occupato attivamente di condurre ricerche e attività di divulgazione su diversi disordini sociali e cognitivi producendo diversi risultati che sono stati oggetto di pubblicazioni internazionali. In questo contesto sono state fatte ricerche sociali, in ambito assistenziale, per la tutela della salute dei cittadini e sono state svolte attività socio culturali per l’informazione e la prevenzione. Per esempio è stata svolta una indagine sulla conoscenza che i cittadini Campani hanno delle leggi sulle cure palliative.
Le cure palliative servono a “migliorare la qualità di vita dei pazienti, confrontati con una malattia inguaribile ed evolutiva, e dei loro familiari, attraverso la prevenzione e l’alleviamento della sofferenza ottenuti grazie alla … identificazione, alla valutazione accurata e al trattamento del dolore e … dei problemi fisici, psicosociali e spirituali” (OMS – Organizzazione Mondiale della Sanità). Il risultato è stato che solo una minima parte della popolazione Campana è a conoscenza di tali sostegni (Legge n. 39 del 1999; Legge n.38 del 2010; Legge n.147 del 2013).
Sono state fatte indagini sulle preferenze degli anziani con malattie croniche e lievi disordini cognitivi, sull’uso di interfacce intelligenti che assicuravano assistenza automatica e miglioravano la loro qualità di vita aiutandoli a ricordare di fare esercizio fisico e di prendere i medicinali necessari. Sono state fatte ricerche per aiutare a migliorare le condizioni di bambini dislessici e balbuzienti, e sono in corso ricerche per supportare le persone con disordini depressivi.
Le linee di ricerca e le associate pubblicazioni sono riportate di seguito:
- Bambini con balbuzie e dislessia [24] [29] [31] [38] [39]
- Interfacce multimodale per ciechi [27] [32] [33] [35] [37]
- Individuazione di stati depressive [3] [4] [10] [36]
- Disordini emotive e di personalità [5] [15] [17] [21] [22] [28] [37]
- Tecnologie di assistenza vocale [6] [12] [13] [14] [16] [20] [34]
- Robotica social per persone vulnerabili (bambini e anziani) [7] [8] [9] [18] [19] [25] [30]
- L’interazione, e l’interazione uomo macchina [1] [2] [11] [23] [26]
Al riguardo, sono stai organizzati diversi eventi internazionali, tra I quali vale la pena di menzionare:
- 2015: Connect 2Sea Special Session of WIRN 2015: “Computational Intelligence Methods for Biomedical ICT in Neurological Diseases” , http://www.unirc.it/comunicazione/articoli/14533/21-maggio-progetto-europeo-connect2sea-a-vietri-sul-mare
- 2013: SSPNet Summer School on Social Signal Processing, http://www.dcs.gla.ac.uk/~vincia/sspschool/index.html
ARTICOLI PUBBLICATI SUI VARI ARGOMENTI
[1] Esposito, A., Jain, L.C. (2016): Modeling Social Signals and Contexts in Robotic Socially Believable Behaving Systems. In Esposito, A. & Jain L.C. (Eds) Toward Robotic Socially Believable Behaving Systems Volume II - “Modeling Social Signals” (Eds). Intelligent Systems Reference Library, ISRL 106: 5-13, Springer International Publishing Switzerland. http://www.springer.com/fr/book/9783319310527
[2] Esposito, A., Jain, L.C. (2016): Modeling Emotions in Robotic Socially Believable Behaving Systems. In Esposito, A. & Jain L.C. Eds). Toward Robotic Socially Believable Behaving Systems Volume I - “Modeling Emotions” Intelligent Systems Reference Library,105: 9-15, Springer International Publishing Switzerland. http://www.springer.com/gp/book/9783319310558
[3] Esposito, A., Esposito, A.M., Likforman-Sulem L, Maldonato NM, A Vinciarelli A (2016): On the significance of speech pauses in depressive disorders: Results on read and spontaneous narratives. In Esposito et al (EDS), Springer SIST series on Recent Advances in Nonlinear Speech Processing, 48, 73-82. DOI: 10.1007/978-3-319-28109-4_8.http://link.springer.com/chapter/10.1007/978-3-319-28109-4_8
[4] Kiss CG, Tulics MG, Sztahó D, Esposito, A., Vicsi K (2016): Language Independent Detection Possibilities of Depression by Speech. In Esposito et al (EDS), Springer SIST series on Recent Advances in Nonlinear Speech Processing, 48, 103-114. DOI: 10.1007/978-3-319-28109-4_11, http://link.springer.com/chapter/10.1007/978-3-319-28109-4_11
[5] Esposito, A., Palumbo D, Troncone A (2015): Effects of Narrative Identities and Attachment Style on the Individual’s Ability to Categorize Emotional Voices. In Bassis S. et al (eds) Advances in Neural Networks: Computationaland Theoretical Issues. Series: Smart Innovation, Systems and Technologies, Vol. 37, pages 265-272, Springer VerlagHeidelberg,DOI: 10.1007/978-3-319-18164-6_25, http://link.springer.com/chapter/10.1007/978-3-319-18164-6_25
[6] Esposito, A., Esposito, A.M, Vogel C (2015): Needs and challenges in human computer interaction for processing social emotional information. Pattern Recognition Letters, 66, 41-51. ISSN: 0167-8655, DOI: 10.1016/j.patrec.2015.02.013, http://dl.acm.org/citation.cfm?id=2838481
[7] Fortunati L, Esposito, A., Sarrica M, Ferrin G (2015): Children's Knowledge and Imaginary About Robots. International Journal of Social Robotics, 7:685–695, DOI: 10.1007/s12369-015-0316-9; http://link.springer.com/article/10.1007/s12369-015-0316-9
[8] Fortunati L, Esposito, A., Lugano G (2015) Beyond Industrial Robotics: Social Robots Entering Public and Domestic Spheres, The Information Society: An International Journal,31:3, 229-236. DOI:10.1080/01972243.2015.1020195, http://dx.doi.org/10.1080/01972243.2015.1020195
[9] Koutsombogera M, Galanis D, Riviello MT, Tsere N, Karabetsos S, Esposito, A., Papageorgiou H(2015): Conflict Cues in Call Center Interactions.In D’Errico et al. (Eds), Conflict and Multimodal Communication, vol. 26, 431-447, Springer VerlagHeidelberg, DOI; 10.1007/978-3-319-14081-0_20, http://link.springer.com/chapter/10.1007/978-3-319-14081-0_20
[10] Likforman-Sulem L, Esposito, A., Faundez-Zanuy M, Clémençon S (2015): Extracting Style and Emotion from Handwriting. In Bassis S. et al (eds) Advances in Neural Networks: Computationaland Theoretical Issues. Series: Smart Innovation, Systems and Technologies, Vol. 37, pages 347-355, Springer VerlagHeidelberg,DOI: 10.1007/978-3-319-18164-6_34, http://link.springer.com/chapter/10.1007/978-3-319-18164-6_34
[11] Vinciarelli A, Esposito, A., André E, Bonin F, Chetouani M, Cohn JF, Cristan M, Fuhrmann F, Gilmartin E, Hammal Z, Heylen D, Kaiser R, Koutsombogera M, Potamianos A, Renals S, Riccardi G, Salah AA (2015): Open Challenges in Modelling, Analysis and Synthesis of Human Behaviour in Human–Human and Human–Machine Interactions. Cognitive Computation, DOI10.1007/s12559-015-9326-z, 7(4). 397-413, http://link.springer.com/article/10.1007/s12559-015-9326-z#
[12] Vinciarelli A, Chatziioannou P, Esposito, A. (2015): When the words are not everything: the use of laughter, fillers, back-channel, silence, and overlapping speech in phone calls. Frontiers in ICT, vol. 4, article 4, 1-11. DOI:doi: 10.3389/fict.2015.00004, http://journal.frontiersin.org/article/10.3389/fict.2015.00004/abstract
[13] Cordasco G, Esposito M, Masucci F, Riviello MT, Esposito, A., Chollet G, Schlögl S, Milhorat P, Pelosi G (2014): Assessing voice user interfaces: The vAssist System Prototype. Proc. 5th IEEE international Conference on Cognitive InfoCommunications, Vietrisul Mare, 5-7 Nov, 91-96, ISSN=978-1-4799-7280-7/14/$31.00 ©2014 IEEE, DOI: 10.1109/CogInfoCom.2014.7020425 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7020425
[14] Esposito, A., Esposito, A.M, Esposito M (2014): On Distinctive Visual and Auditory Timing Cues in Language Tasks. In Lewandowska-Tomaszczyk B, Kosecki K (Eds): Timeling-Time and Temporality in Human Experience ISBN:978-3-631-64339-6, Peter Lang/Frankfurt am Main, 201-218.
[15] Esposito, A., Palumbo D, Troncone A (2014): Emotional consequences of the interaction between inward/outward identities and attachment style. Proc. 5th IEEE international Conference on Cognitive InfoCommunications, Vietrisul Mare, 5-7 Nov, 263-266, 978-1-4799-7280-7/14/$31.00 ©2014 IEEE, DOI: 10.1109/CogInfoCom.2014.702045, http://dx.doi.org/10.1109/coginfocom.2014.7020458
[16] Esposito, A., Fortunati L, Lugano G (2014): Modeling emotion, behaviour and context in socially believable robots and ICT interfaces. Cognitive Computation, 6( 4), 623-627, DOI 10.1007/s12559-014-9309-5, http://link.springer.com/article/10.1007/s12559-014-9309-5
[17] Esposito, A., Palumbo D, Troncone A (2014): The influence of the attachment style on the decoding accuracy of emotional vocal expressions. Cognitive Computation, 6 (4), 699-707, DOI: 10.1007/s12559-014-9292-x. http://link.springer.com/article/10.1007/s12559-014-9292-x
[18] Faundez-Zanuy M, Sesa-Nogueras E, Roure-Alcobé J, Mekyska J, Esposito, A., Lopez-De-Ipiña K (2014): A preliminary study on aging examining online handwriting. Proc. 5th IEEE international Conference on Cognitive InfoCommunications, Vietrisul Mare, 5-7 Nov, 221-224, 978-1-4799-7280-7/14/$31.00 ©2014 IEEE, DOI: 10.1109/CogInfoCom.2014.7020449, http://dx.doi.org/10.1109/coginfocom.2014.7020449
[19] Fortunati L, Esposito, A., Ferrin G, Viel M (2014): Approaching social robots through playfulness and doing-it-yourself: children in action. Cognitive Computation, ISSN 1866-9956, Volume 6, Number 4, 789-801, DOI:10.1007/s12559-014-9303-y. SCOPUS CODE: eid=2-s2.0-84906651431 http://link.springer.com/article/10.1007/s12559-014-9303-y
[20] Milhorat P, Schlögl S, Chollet G, Boudyy J, Esposito, A., Pelosi G (2014): Building the next generation of personal digital assistants. Proc. of 1st IEEE International Conference on Advanced Technologies for Signal and Image Processing - ATSIP'2014 March 17-19, 2014, Sousse, Tunisia, 458-463, ISSN 978-1-4799-4888-8/14/, DOI:10.1109/ATSIP.2014.6834655, http://dx.doi.org/10.1109/atsip.2014.6834655
[21] Riviello MT, Capuano V, Ombrato G, Baldassarre I, Cordasco C, Esposito, A. (2014): The Influence of Positive and Negative Emotions on Physiological Responses and Memory Task Scores. In Bassis S et al. (Eds), Recent Advances of Neural Network Models and Applications, vol. 26, 315-324, Springer VerlagHeidelberg, DOI 10.1007/978-3-319-041292. http://www.springer.com/engineering/computational intelligence and complexity/book/978-3-319-04128-5
[22]Troncone A, Palumbo D, Esposito, A. (2014): Mood effects on the decoding of emotional voices. In Bassis S et al. (Eds), Recent Advances of Neural Network Models and Applications, vol. 26, 325-332, Springer VerlagHeidelberg, DOI 10.1007/978-3-319-04129-2. http://dx.doi.org/10.1007/978-3-319-04129-2_32
[23] Vicsi K, Esposito, A. (2014): Communicative social signals: Computational and behavioural aspects of human-human and human-machine interaction. Intelligent Decision Technologies, 8 (2014) 253–254, ISSN print 1872-4981 ISSN online 1875-8843 DOI 10.3233/IDT-140193 IOS Press http://iospress.metapress.com/content/yu35256315737352/
[24] Esposito, A., Riviello MT, Capuano V (2013): Discriminating Human vs. Stylized Emotional Faces: Recognition Accuracy in Young Children. In Apolloni B et al. (Eds): Neural Nets and Surroundings, 19, 395-403. Series Smart Innovation, Systems and Technologies. Springer VerlagHeidelberg, ISBN 978-3-642-35466-3, http://dx.doi.org/10.1007/978-3-642-35467-0_39
[25] Faundez-Zanuy M., Sesa-Nogueras E, Roure-Alcobe J, Garre-Olmo J, Mekyska J, Lopez-de-Ipiña K, Esposito, A. (2013): A Preliminary Study of Online Drawings and Dementia Diagnose. In Apolloni B et al. (Eds): SISTS Series: Neural Nets and Surroundings, 19, 367-374. http://link.springer.com/chapter/10.1007/978-3-642-35467-0_36#
[26] Esposito, A. (2012): Visual and auditory emotional information: What counts in human-human and human-machine interaction. NEUROPSYCHIATRIE DE L'ENFANCE ET DE L'ADOLESCENCE, 60(55), S41, ISSN: 0222-9617,http://www.em-consulte.com/en/article/737207
[27] Bourbakis N, Esposito, A., Kavraki D (2011): Extracting and Associating Meta-features for Understanding People’s Emotional Behaviour: Face and Speech. Cognitive Computation Journal, 3(3), 436-448, http://dx.doi.org/10.1007/s12559-010-9072-1
[28] Esposito, A., Riviello MT (2011): The cross-modal and cross-cultural processing of affective information. In B. Apolloni et al (Eds), Frontiers in Artificial Intelligence and Applications 226, 301-310, IOSpress, ISBN 978-1-60750-691-1 (print), ISBN 978-1-60750-692-8 (online) 301-310 (2011). DOI: 10.3233/978-1-60750-692-8-301, http://ebooks.iospress.nl/volumearticle/6396
[29] Esposito, A., Troncone A (2011): Emotions and Speech Disorders: Do Developmental Stutters Recognize Emotional Vocal Expressions? In A. Esposito et al. (Eds.): Toward Autonomous, Adaptive, and Context-Aware Multimodal Interfaces: Theoretical and Practical Issues , LNCS 6456, pp. 155–164, Springer-Verlag Berlin Heidelberg, http://dx.doi.org/10.1007/978-3-642-18184-9_14
[30] Rossini N, Esposito, A. (2011): Modelling Human Behaviour in Emergency: A Research Agenda for the Creation of a Rescue Robot. In Apolloni B et al.(Eds) Frontiers in Artificial Intelligence and Applications, 234, 235-246, ISBN 978-1-60750-971-4, IOSpress, DOI: 10.3233/978-1-60750-972-1-235, http://ebooks.iospress.nl/volumearticle/6758
[31] Troncone A, Esposito, A. (2011): On the recognition of emotional voices by typical and speech impaired children. In Apolloni, B., Bassis, S., Esposito, A., Morabito, C.F. (Eds): Neural Nets WIRN11, Vol. 234, Frontiers in Artificial Intelligence and Applications, pp 228-234, ISBN 978-1-60750-971-4, IOSpress, DOI: 10.3233/978-1-60750-972-1-228, http://ebooks.iospress.nl/volumearticle/6757
[32] Keefer R, Dakopoulos D. , Esposito, A, Bourbakis, N (2009): An Interaction Based Approach to Document Segmentation for the Visually Impaired. InJacko, Julie A. (Ed.) Universal Access in Human-Computer Interaction. Applications and Services, Lecture Notes in Computer Science, 5616, PartIII, 540-549, , Springer VerlagHeidelberg http://dx.doi.org/10.1007/978-3-642-02713-0_57
[33] Bourbakis N, Keefer R, Dakopoulos D, Esposito, A. (2008): A Multimodal Interaction Scheme between a Blind User and the Tyflos Assistive Prototype. In Proceedings of IEEE Int'l Conference on, Tools with Artificial Intelligence - ICTAI 2008, vol.1, 147-152, ISBN: 978-0-7695-3440-4,, Dayton, OHIO, USA, Nov 3-5, 2008, http://dx.doi.org/10.1109/ictai.2008.52
[34] Bourbakis N, Esposito, A., Kavraki D (2008): Ekfrasis: A Formal Language for Representing and Generating Sequences of Facial Patterns for Studying Emotional Behavior. In A. Esposito et al. (eds) Verbal and Nonverbal Features of Human-Human and Human-Machine Interaction, LNCS vol. 5042, 21-31, Springer VerlagHeidelberg. http://link.springer.com/chapter/10.1007/978-3-540-70872-8_2
[35] Bourbakis NG, Esposito, A., Kavraki D (2007): Multi-Modal Interfaces for Interaction-Communication between Hearing and Visually Impaired Individuals: Problems & Issues. IEEE International Conference on Tools with Artificial Intelligence, Patras, Greece, Oct. 29-31, vol. 2, pp. 522 - 530 , ISBN: 978-0-7695-3015-4, http://dx.doi.org/10.1109/ictai.2007.178
[36] Esposito, A., Stejskal V, Smékal Z, Bourbakis N (2007): The Significance of Empty Speech Pauses: Cognitive and Algorithmic Issues. In F. Mele et al (eds): Brain Vision Artificial Intelligence, LCNS, 4729, 542-554, Springer-Verlag Berlin Heidelberg, ISBN 80-86269-15-9. http://dx.doi.org/10.1007/978-3-540-75555-5_52
[37] Bourbakis NG, Esposito, A., Kavraki D (2006): Analysis of Invariant Meta-features for Learning and Understanding Disable People’s Emotional Behavior Related to their Health Conditions: A Case Study. In Proceedings of 6th International IEEE Symposium BioInformatics and BioEngineering, pp. 357-369, IEEE Computer Society, http://dl.acm.org/citation.cfm?id=1169418. http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=4019681&url=http://ieeexplore.ieee.org/iel5/4019626/4019627/04019681.pdf?arnumber=4019681
[38] Esposito, A., Bourbakis NG (2006): The Role of Timing in Speech Perception and Speech Production Processes and its Effects on Language Impaired Individuals. In Proceedings of 6th International IEEE Symposium BioInformatics and BioEngineering, pp. 348-356, ISBN 0-7695-2727-2, IEEE Computer Society. http://dx.doi.org/10.1109/bibe.2006.253300
[39] Esposito, A. (2006): Children’s Organization of Discourse Structure through Pausing Means. In M. Faundez-Zanuy et al. (eds), Nonlinear Analyses and Algorithms for Speech Processing, Lecture Notes in Computer Science(LCNS), vol.3817, pp.108-115, ISBN: 3-540-31257-9,Springer Verlag Heidelberg. http://dx.doi.org/10.1007/11613107_9