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Challenges, Trends and Potentials for in-Vehicle Affective Computing - Traditional Human Factors Approaches vs. Machine Learning

Bethge, David and Bosch, Esther Johanna and Klosterkamp, Marie and Kosch, Thomas (2021) Challenges, Trends and Potentials for in-Vehicle Affective Computing - Traditional Human Factors Approaches vs. Machine Learning. Neuroergonomics 2021, 11.-16. Sep. 2021, München.

Full text not available from this repository.

Abstract

Affective computing has become a prominent research area for modeling driver behavior in order to design affective vehicle interfaces that ameliorate the driving experience. The recent increase of available multimodal data on affective experience makes machine learning a prominent method, and is researched side-to-side with traditional human-factors approaches for human emotion modeling. However, both approaches have methodological advantages and caveats. Through open discussions, presentations and an affective computing study-design and analysis challenge, this workshops aims to bring together researchers from both scientific perspectives and discuss transfer learning possibilities using the example of in-car affective computing.

Item URL in elib:https://elib.dlr.de/143906/
Document Type:Conference or Workshop Item (Other)
Title:Challenges, Trends and Potentials for in-Vehicle Affective Computing - Traditional Human Factors Approaches vs. Machine Learning
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Bethge, Daviddavid.bethge (at) porsche.deUNSPECIFIED
Bosch, Esther JohannaEsther.Bosch (at) dlr.dehttps://orcid.org/0000-0002-6525-2650
Klosterkamp, Mariemarie.klosterkamp (at) s2018.tu-chemnitz.deUNSPECIFIED
Kosch, Thomaskosch (at) tk.tu-darmstadt.deUNSPECIFIED
Date:September 2021
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Surface Transport, Emotions, Human-Machine Teaming, AR/VR, Mobile Brain/Body Imaging
Event Title:Neuroergonomics 2021
Event Location:München
Event Type:international Conference
Event Dates:11.-16. Sep. 2021
Organizer:LMU München
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Road Transport
DLR - Research area:Transport
DLR - Program:V ST Straßenverkehr
DLR - Research theme (Project):V - NGC KoFiF
Location: Braunschweig
Institutes and Institutions:Institute of Transportation Systems > Information Flow Modelling in Mobility Systems, BS
Deposited By: Bosch, Esther Johanna
Deposited On:17 Sep 2021 10:39
Last Modified:17 Sep 2021 10:39

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