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  4. Lernen im Kontext : Digitale Medien für Menschen mit Lernschwierigkeiten Entwicklung und Erprobung eines mobilen Assistenzsystems für kontextbezogenes Lernen
 
Zitierlink URN
https://nbn-resolving.de/urn:nbn:de:gbv:46-00105799-11

Lernen im Kontext : Digitale Medien für Menschen mit Lernschwierigkeiten Entwicklung und Erprobung eines mobilen Assistenzsystems für kontextbezogenes Lernen

Veröffentlichungsdatum
2017-02-16
Autoren
Tannert, Benjamin  
Betreuer
Schelhowe, Heidi  
Gutachter
Wolf, Karsten D.  
Zusammenfassung
A model of an assistance-system was built in an intensive and multilayered process of participatory software development in the context of a sheltered-workshop for disabled people. The solution is assisting people with learning disabilities to accomplish auton-omously their job tasks. Based on emotion-recognition and specific personalized profiles the system can recognize the cognitive abilities in a certain situation and assist to coop with problems by personalized feedback. Therefor the successful completion of a task is supported and the system can prevent failures and dangerous mistakes. As a result the experience of personal confidence and self-efficacy can be fostered. By a prototype the model could be evaluated and refined. The system consists of an authoring-area for designing personalized audio-visual work instructions and a mobile assistance area, that could easily be integrated in a production station. Because of the special needs of the target group and their vulnerability a adapted version of participatory software de-velopment process has to be initiated and applied.
Schlagwörter
assistance-system

; 

emotion recognition

; 

handicap

; 

learning difficulty

; 

assisted participation

; 

personalisation

; 

voice recognition

; 

voice control

; 

modular audio/video editing

; 

empowerment

; 

increase of self-efficacy
Institution
Universität Bremen  
Fachbereich
Fachbereich 03: Mathematik/Informatik (FB 03)  
Dokumenttyp
Dissertation
Zweitveröffentlichung
Nein
Sprache
Deutsch
Dateien
Lade...
Vorschaubild
Name

00105799-1.pdf

Size

10.72 MB

Format

Adobe PDF

Checksum

(MD5):563344248a846b10bf178d337f773fb1

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