A user aware interface for seclusion rooms

Bornand, Cédric (School of Management and Engineering Vaud, HES-SO // University of Applied Sciences Western Switzerland) ; Stantzos, Alexia (Lausanne University Hospital, North Psychiatry Department, Yverdon-les-Bains, Switzerland) ; Güsewell, Angelika (HEMU Haute Ecole de Musique Vaud Valais Fribourg, HES-SO // University of Applied Sciences Western Switzerland) ; Bovet, Emilie (HESAV School of Health Sciences, HES-SO University of Applied Sciences and Arts Western Switzerland) ; Bangerter, Gilles (HESAV School of Health Sciences, HES-SO University of Applied Sciences and Arts Western Switzerland) ; Chakraborty, Goutam (Iwate Prefectural University, Faculty of Software and Information, Takizawa, Japan)

The efficacy of music for healing psychiatric patients is a well investigated area of research. Often, soothing background music is run and improvement in patients' conditions monitored. It is believed that instead of a general soothing music, if the patient could have the privilege to select music to her/his own choice at that very moment, it would enhance many times the healing effect. On the other hand, as interacting with violent psychiatric patients is often impossible or even dangerous, it is tricky to extend the privilege that would enable patients to select themselves the pieces of music they want to listen to. In this research, we put forward several technical solutions, evaluated them, and finally came up with an effective solution. The core idea of the proposed user aware interface could be extended to other similar situations, like prison.


Keywords:
Conference Type:
published full paper
Faculty:
Ingénierie et Architecture
Musique et Arts de la scène
Santé
School:
HEIG-VD
HEMU
HESAV
Institute:
IRMAS - Institut de Recherche en Musique et Arts de la Scène
ReDS - Reconfigurable & embedded Digital Systems
Unité de recherche en santé, HESAV
Publisher:
Taichung, Taiwan, 8-10 Nov. 2017
Date:
2017-11
Taichung, Taiwan
8-10 Nov. 2017
Pagination:
5 p.
Published in:
Proceedings of the 2017 IEEE 8th International Conference on Awareness Science and Technology (iCAST)
DOI:
ISBN:
978-1-5386-2965-9
Appears in Collection:

Note: The status of this file is: restricted


 Record created 2021-05-12, last modified 2021-05-21

Fulltext:
Download fulltext
PDF

Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)