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Dr.-Ing. Jan-Niklas Voigt-Antons
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Jan-Niklas Voigt-Antons joined the Telekom Innovation Laboratories as a research scientist in January 2009 and is working there since 2014 as a senior research scientist. He received his diploma in psychology in 2008 from the Technische Universität Darmstadt, Germany, a Doctor-of-Engineering degree in 2014 from the Technische Universität Berlin, Germany and has been doing research at the Quality and Usability Lab at the Technische Universität (TU) Berlin, since. His research interests are in Quality-of-Experience evaluation and its physiological correlates with an emphasis on media transmissions and human-machine-interaction, including neural processing of multimodal interaction. During summer 2012 he was visiting researcher at MuSAE Lab (INRS-EMT), Canada where he examined neural correlates of quality perception for complex speech signals. In spring 2014 he was visiting researcher at the department of psychology of NTNU, Norway where he examined neural correlates of audiovisual asynchrony.
QULab research group: Quality, User Experience, Augmented and Virtual Reality
Research Topics:
• Multimedia Experience (Usability evaluation methods, Quality-of-Experience evaluation physiological measures)
• Interaction Design (Adaptive software, data mining, sensor and behavioural data)
Current projects:
Measuring of immersive media experience
DemTab - Tabletgestützte ambulante Versorgung von Menschen mit Demenz
VoiceAdapt - Adaptives Sprachtraining für ältere Menschen mit Aphasie
OurPuppet - Pflegeunterstützung mit einer interaktiven Puppe für informell Pflegende
Past projects:
PflegeTab - Technik für mehr Lebensqualität trotz Pflegebedürftigkeit bei Demenz (GKV)
Bernstein Focus Neurotechnology - Berlin (BFNT - B)
Teaching:
| Seminar | Affective Computing |
| Project | Neuro-Usability |
| Project | Study Project Quality & Usability (6/9 CP) |
Thesis:
Current thesis offers of our lab can be found here. Please contact me via email if you are interested in doing a thesis supervised by me.
Jobs:
Current job offers of our lab can be found here.
Contact:
+49 30 8353 58 377
Address
Technische Univertistät BerlinQuality and Usability Lab
Telekom Innovation Laboratories
Ernst-Reuter-Platz 7
10587 Berlin, Germany
Publications
| Citation key | cha2019a |
|---|---|
| Author | Cha, Jeehoon and Voigt-Antons, Jan-Niklas and Trahms, Carola and O'Sullivan, Julie Lorraine and Gellert, Paul and Kuhlmey, Adelheid and Möller, Sebastian and Nordheim, Johanna |
| Pages | 1–20 |
| Year | 2019 |
| ISSN | 2366-0147 |
| DOI | 10.1007/s41233-019-0028-2 |
| Journal | Quality and User Experience |
| Volume | 4 |
| Number | 1 |
| Month | nov |
| Note | online, print |
| Publisher | Springer |
| How Published | Fullpaper |
| Abstract | While the number of dementia cases is steadily increasing, as of today no medication has been developed to cure its underlying causes. Instead, the focus in treatment has shifted to improve quality of life (QoL) for people with dementia (PwD). To this end, some non-pharmacological treatments such as exercising, socializing, and playing games have received increasing attention. PflegeTab is a tablet-based application developed for this purpose. It includes a number of services such as cognitive training games, everyday activity training games, emotional applications, and a biographical picture album. In the present paper, we explore the possibility of QoL prediction for PwD using data collected while nursing home residents played games in PflegeTab ($$N = 81$$N=81). Using features generated from the data and applying linear discriminant analysis for classification, our approach obtained an average accuracy of 74.80% on predicting QoL ratings when measured by Monte Carlo cross-validation. Furthermore, this paper investigates which features were dominant for the classification (prominent features were e.g. time needed for task completion) and briefly discusses how the results might be utilized for managing general QoL of PwD. |
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