Our research explores new forms of technologyenhanced interventions for children with Intellectual Disability (ID). The paper presents an innovative smart space called Magic K-Room, which has been designed in cooperation with ID specialists and provides multisensory stimuli exploiting full-body interaction with various kinds of smart objects and ambient features. Using brain signals acquired through a wearable EEG headset, the space is responsive to a particular child's levels of relaxation and attention, automatically adapting the stimuli to the child's state, and allows therapists to automatically collect a child's data for diagnosis purposes or to fine tune their therapy.

Garzotto, F., Gelsomini, M., Pappalardo, A., Sanna, C., Stella, E., Zanella, M. (2016). Using brain signals in adaptive smart spaces for disabled children. In CHI EA '16: Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems (pp.1684-1690). Association for computing machinery [10.1145/2851581.2892533].

Using brain signals in adaptive smart spaces for disabled children

Garzotto, Franca
;
2016

Abstract

Our research explores new forms of technologyenhanced interventions for children with Intellectual Disability (ID). The paper presents an innovative smart space called Magic K-Room, which has been designed in cooperation with ID specialists and provides multisensory stimuli exploiting full-body interaction with various kinds of smart objects and ambient features. Using brain signals acquired through a wearable EEG headset, the space is responsive to a particular child's levels of relaxation and attention, automatically adapting the stimuli to the child's state, and allows therapists to automatically collect a child's data for diagnosis purposes or to fine tune their therapy.
abstract + poster
Brain-computer interface; Children; EEG headset; Full-body interaction; Intellectual Disability; Smart spaces;
English
CHI'16: CHI Conference on Human Factors in Computing Systems - May 7 - 12, 2016
2016
CHI EA '16: Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems
9781450340823
2016
1684
1690
https://dl.acm.org/citation.cfm?doid=2851581.2892533
reserved
Garzotto, F., Gelsomini, M., Pappalardo, A., Sanna, C., Stella, E., Zanella, M. (2016). Using brain signals in adaptive smart spaces for disabled children. In CHI EA '16: Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems (pp.1684-1690). Association for computing machinery [10.1145/2851581.2892533].
File in questo prodotto:
File Dimensione Formato  
Garzotto-2016-CHI16-VoR.pdf

Solo gestori archivio

Tipologia di allegato: Publisher’s Version (Version of Record, VoR)
Licenza: Tutti i diritti riservati
Dimensione 1.04 MB
Formato Adobe PDF
1.04 MB Adobe PDF   Visualizza/Apri   Richiedi una copia
Garzotto-2016-CHI16.pdf

Solo gestori archivio

Descrizione: Intervento a convegno - Poster
Tipologia di allegato: Other attachments
Licenza: Tutti i diritti riservati
Dimensione 1.59 MB
Formato Adobe PDF
1.59 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/553805
Citazioni
  • Scopus 9
  • ???jsp.display-item.citation.isi??? ND
Social impact