@inproceedings{,
    author = {Braun, Michael; Mainz, Anja; Chadowitz, Ronee; Pfleging, Bastian; Alt, Florian},
    title = {At Your Service : Designing Voice Assistant Personalities to Improve Automotive User Interfaces},
    editor = {},
    booktitle = {CHI '19: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems},
    series = {},
    journal = {},
    address = {New York, NY, USA},
    publisher = {Association for Computing Machinery},
    edition = {},
    year = {2019},
    isbn = {978-1-4503-5970-2},
    volume = {},
    number =  {},
    pages = {1-11},
    url = {},
    doi = {10.1145/3290605.3300270},
    keywords = {Virtual Reality ; Behavioural Biometrics ; Motion ; Relation ; Proprioception ; Adaptive UIs},
    abstract = {Every person is unique, with individual behavioural characteristics:how one moves, coordinates, and uses their body.In this paper we investigate body motion as behavioural biometricsfor virtual reality. In particular, we look into whichbehaviour is suitable to identify a user. This is valuable insituations where multiple people use a virtual reality environmentin parallel, for example in the context of authenticationor to adapt the VR environment to users’ preferences. Wepresent a user study (N=22) where people perform controlledVR tasks (pointing, grabbing, walking, typing), monitoringtheir head, hand, and eye motion data over two sessions.These body segments can be arbitrarily combined into bodyrelations, and we found that these movements and theircombination lead to characteristic behavioural patterns. Wepresent an extensive analysis of which motion/relation isuseful to identify users in which tasks using classificationmethods. Our findings are beneficial for researchers and practitionersalike who aim to build novel adaptive and secureuser interfaces in virtual reality.},
    note = {},
    institution = {Universität der Bundeswehr München, Fakultät für Informatik, INF 5 - Institut für Anwendungssicherheit, Professur: Alt, Florian},
    
    
}