Driver emotion recognition for intelligent vehicles: A survey

S Zepf, J Hernandez, A Schmitt, W Minker… - ACM Computing …, 2020 - dl.acm.org
Driving can occupy a large portion of daily life and often can elicit negative emotional states
like anger or stress, which can significantly impact road safety and long-term human health …

Drer: Deep learning–based driver's real emotion recognizer

G Oh, J Ryu, E Jeong, JH Yang, S Hwang, S Lee, S Lim - Sensors, 2021 - mdpi.com
In intelligent vehicles, it is essential to monitor the driver's condition; however, recognizing
the driver's emotional state is one of the most challenging and important tasks. Most …

Vemotion: Using driving context for indirect emotion prediction in real-time

D Bethge, T Kosch, T Grosse-Puppendahl… - The 34th Annual ACM …, 2021 - dl.acm.org
Detecting emotions while driving remains a challenge in Human-Computer Interaction.
Current methods to estimate the driver's experienced emotions use physiological sensing …

Towards multimodal emotion recognition in german speech events in cars using transfer learning

D Cevher, S Zepf, R Klinger - arXiv preprint arXiv:1909.02764, 2019 - arxiv.org
The recognition of emotions by humans is a complex process which considers multiple
interacting signals such as facial expressions and both prosody and semantic content of …

Why drivers feel the way they do: An on-the-road study using self-reports and geo-tagging

M Dittrich - 13th International Conference on Automotive User …, 2021 - dl.acm.org
In automotive research, the current hot topic of emotion recognition is mainly technology-
driven, focusing on the development of sensors and algorithms that ensure recognition …

Emotion-aware, emotion-agnostic, or automatic: Corpus creation strategies to obtain cognitive event appraisal annotations

J Hofmann, E Troiano, R Klinger - arXiv preprint arXiv:2102.12858, 2021 - arxiv.org
Appraisal theories explain how the cognitive evaluation of an event leads to a particular
emotion. In contrast to theories of basic emotions or affect (valence/arousal), this theory has …

Interpretable Time-dependent convolutional emotion recognition with contextual data streams

D Bethge, C Patsch, P Hallgarten, T Kosch - Extended Abstracts of the …, 2023 - dl.acm.org
Emotion prediction is important when interacting with computers. However, emotions are
complex, difficult to assess, understand, and hard to classify. Current emotion classification …

Toward a persuasive academic library website

M Shabani Shayeh, M Tajafari… - Journal of Librarianship …, 2024 - journals.sagepub.com
This study aimed to investigate users' perspectives on the significance of the library website
features missing from an academic library website according to PD criteria. Based on a valid …

HappyRouting: Learning Emotion-Aware Route Trajectories for Scalable In-The-Wild Navigation

D Bethge, D Bulanda, A Kozlowski, T Kosch… - arXiv preprint arXiv …, 2024 - arxiv.org
Routes represent an integral part of triggering emotions in drivers. Navigation systems allow
users to choose a navigation strategy, such as the fastest or shortest route. However, they do …

Real-Time Emotion-Sensitive User Interfaces

S Zepf - 2021 - oparu.uni-ulm.de
Emotions play an important role in our everyday life: On a short-term, they influence several
of our cognitive processes such as decision-making, attention, and performance in daily …