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  4. Talis - a design study for a wearable device to assist people with depression
 
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2017
Conference Paper
Title

Talis - a design study for a wearable device to assist people with depression

Abstract
One of the major diseases affecting the global population, depression has a strong emotional impact on its sufferers. In this design study, "Talis" is presented as a wearable device which uses emotion recognition as an interface between patient and machine to support psychotherapeutic treatment. We combine two therapy methods, "Cognitive Behavioral Therapy" and "Well- Being Therapy", with interactive methods thought to increase their practical application potential. In this study, we draw on the results obtained in the area of "affective computing" for the use of emotions in empathic devices. The positive and negative phases experienced by the patient are identified through speech recognition and used for direct communication and later evaluation. After considering the design possibilities and suitable hardware, the future realization of such technology appears feasible. In order to design the wearable, user studies and technical experiments were carried out. The results of these suggest that the device could be beneficial for the treatment of patients with depression.
Author(s)
Siegmund, Dirk
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Hörr, Oliver
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Chiesa, Laura
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Gabler, Frank
Hochschule Darmstadt
Braun, Andreas
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Kuijper, Arjan  orcid-logo
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Mainwork
IEEE 41st Annual Computer Software and Applications Conference Workshops, COMPSACW 2017. Proceedings  
Conference
Annual Computer Software and Applications Conference (COMPSAC) 2017  
International Workshop on User Centered Design and Adaptive Systems (UCDAS) 2017  
Open Access
DOI
10.24406/publica-r-397835
10.1109/COMPSAC.2017.228
File(s)
N-467086.pdf (7.19 MB)
Language
English
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Keyword(s)
  • wearable computing

  • emotion recognition

  • interaction design

  • E-health

  • CRISP

  • Lead Topic: Individual Health

  • Research Line: Human computer interaction (HCI)

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