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Autoren:
Pfeuffer, Ken; Geiger, Matthias; Prange, Sarah; Mecke, Lukas; Buschek, Daniel; Alt, Florian 
Dokumenttyp:
Konferenzbeitrag / Conference Paper 
Titel:
Behavioural Biometrics in VR 
Untertitel:
Identifying People from Body Motion and Relations in Virtual Reality 
Titel Konferenzpublikation:
CHI '19 
Untertitel Konferenzpublikation:
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems 
Konferenztitel:
CHI Conference on Human Factors in Computing Systems (2019, Glasgow) 
Tagungsort:
Glasgow, UK 
Jahr der Konferenz:
2019 
Verlagsort:
New York, NY, USA 
Verlag:
ACM 
Jahr:
2019 
Sprache:
Englisch 
Stichwörter:
Virtual Reality ; Behavioural Biometrics ; Motion ; Relation ; Proprioception ; Adaptive UIs 
Abstract:
This paper investigates personalized voice characters for incarspeech interfaces. In particular, we report on how wedesigned different personalities for voice assistants and comparedthem in a real world driving study. Voice assistantshave become important for a wide range of use cases, yet current interfaces are using the same style of auditory responsein every situation, despite varying user needs andpersonalities. To close this gap, we designed four assistantpersonalities (Friend, Admirer, Aun...    »
 
ISBN:
978-1-4503-5970-2 
Fakultät:
Fakultät für Informatik 
Institut:
INF 5 - Institut für Anwendungssicherheit 
Professur:
Alt, Florian 
(Forschungs)einrichtung UniBw M:
CODE 
Open Access ja oder nein?:
Nein / No