Mitigating Frustration in the Car: Which Emotion Regulation Strategies Might Work for Different Age Groups?

Oehl, Michael; Lienhop, Martina; Ihme, Klas

doi:10.1007/978-3-030-78645-8_34

Cited by 5 publications

(1 citation statement)

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“…An early work which surveyed the influence of emotions and the potential to improve user interfaces (UIs) through affect sensing was [17]. Since then, many works have focused on elicitation, measurement, and effects of emotions in an automotive context [18], [19], [20], [21], [22], for instance, on frustration [23], [24], [25], [26]. Among prior literature, the majority focuses on the state of the driver, as their emotions are very relevant to driving performance and therefore safety.…”

Section: Introductionmentioning

confidence: 99%

Audiovisual Affect Recognition for Autonomous Vehicles: Applications and Future Agendas

Karas,

Schuller,

Schuller

2024

IEEE Trans. Intell. Transport. Syst.

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Emotion and a broader range of affective and cognitive states play an important role on the road. While this has been predominantly investigated in terms of driver safety, the approaching advent of autonomous vehicles (AVs) is expected to bring a fundamental shift in focus for emotion recognition in the car, from the driver to the passengers. This work presents a number of affect-enabled applications, including adapting the driving style for an emotional experience or tailoring the infotainment to personal preferences. It attempts to foresee upcoming challenges and provides suggestions for multimodal affect modelling, with a focus on the audio and visual modalities. In particular, this includes context awareness, reliable diarisation of multiple passengers, group affect, and personalisation. Finally, we provide some recommendations on future research directions, including explainability, privacy, and holistic modelling.

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