I Drive My Car and My States Drive Me

Völkel, Sarah Theres; Graefe, Julia; Schödel, Ramona; Häuslschmid, Renate; Stachl, Clemens; Au, Quay; Hußmann, Heinrich

doi:10.1145/3239092.3267102

Cited by 7 publications

(6 citation statements)

References 14 publications

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“…The idea to display the detected driver states within a graphical UI has been evaluated in recent studies, e.g., by Völkel et al [42], within the AwareCar project at MIT [23], and in our own research [43]. Such a display can keep drivers informed regarding their current capacities and support in-vehicle systems to improve driver performance and safety [23].…”

Section: Driver State Displaymentioning

confidence: 99%

“…Such a display can keep drivers informed regarding their current capacities and support in-vehicle systems to improve driver performance and safety [23]. Drivers generally seem open towards continuous driver state displays, provided the criticality of the situation is easily discernible [42,43]. If such a system incorporates notifications, the timing needs to be adaptive to the level of receptiveness and the driver's attentional states [44].…”

Section: Driver State Displaymentioning

confidence: 99%

See 1 more Smart Citation

Improving Driver Emotions with Affective Strategies

Braun

Schubert

Pfleging

et al. 2019

MTI

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Drivers in negative emotional states, such as anger or sadness, are prone to perform bad at driving, decreasing overall road safety for all road users. Recent advances in affective computing, however, allow for the detection of such states and give us tools to tackle the connected problems within automotive user interfaces. We see potential in building a system which reacts upon possibly dangerous driver states and influences the driver in order to drive more safely. We compare different interaction approaches for an affective automotive interface, namely Ambient Light, Visual Notification, a Voice Assistant, and an Empathic Assistant. Results of a simulator study with 60 participants (30 each with induced sadness/anger) indicate that an emotional voice assistant with the ability to empathize with the user is the most promising approach as it improves negative states best and is rated most positively. Qualitative data also shows that users prefer an empathic assistant but also resent potential paternalism. This leads us to suggest that digital assistants are a valuable platform to improve driver emotions in automotive environments and thereby enable safer driving.

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Section: Driver State Displaymentioning

confidence: 99%

Section: Driver State Displaymentioning

confidence: 99%

Improving Driver Emotions with Affective Strategies

Braun

Schubert

Pfleging

et al. 2019

MTI

View full text Add to dashboard Cite

show abstract

“…Researchers' studies found that direct feedback on the detected drivers' states had little value for emotional regulation because visual state feedback could amplify the driver's negative emotional states, which was unacceptable to the driver and needed to be avoided examined the visual state feedback of drivers' negative emotions [143,147,170]. Besides, participants preferred to receive only safety-critical notifications of the driver's state [144]. Relaxation techniques are approaches to impact drivers' emotional states through dynamic behavior changes.…”

Section: Visual Regulationmentioning

confidence: 99%

Review and Perspectives on Human Emotion for Connected Automated Vehicles

Li,

Tan

et al. 2024

Automot. Innov.

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The progression toward automated driving and the latest advancement in vehicular networking have led to novel and natural human-vehicle-road systems, in which affective human-vehicle interaction is a crucial factor affecting the acceptance, safety, comfort, and traffic efficiency of connected and automated vehicles (CAVs). This development has inspired increasing interest in how to develop affective interaction framework for intelligent cockpit in CAVs. To enable affective human-vehicle interactions in CAVs, knowledge from multiple research areas is needed, including automotive engineering, transportation engineering, human–machine interaction, computer science, communication, as well as industrial engineering. However, there is currently no systematic survey considering the close relationship between human-vehicle-road and human emotion in the human-vehicle-road coupling process in the CAV context. To facilitate progress in this area, this paper provides a comprehensive literature survey on emotion-related studies from multi-aspects for better design of affective interaction in intelligent cockpit for CAVs. This paper discusses the multimodal expression of human emotions, investigates the human emotion experiment in driving, and particularly emphasizes previous knowledge on human emotion detection, regulation, as well as their applications in CAVs. The promising research perspectives are outlined for researchers and engineers from different research areas to develop CAVs with better acceptance, safety, comfort, and enjoyment for users.

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“…With technical advancements, more and more elaborate emotionally sentient digital assistants will become feasible [32]. Other applications of affective in-car UIs have been realized by giving direct feedback to the driver regarding their current state, so they can reflect and adapt if necessary [4,44]; by actively influencing the driver, e.g., through music playback [13], and, more subliminally, through ambient lighting [16]; or by enhancing the driving experience in an emotional way, e.g., with emotional interaction in a feedback channel among nearby cars [45]. Coughlin et al envision an aware car which detects the driver's state from psycho-physiological data and influences them to stay in an optimum driving state [10].…”

Section: Affective Automotive User Interfacesmentioning

confidence: 99%

“…Use cases in this cluster are designed to improve the transparency of the emotion detection system. Inspired by related work [4,44], Driver State Display and Passenger State Display show the detected states of the driver / all occupants as color-coded contour lights and in Quantified View, collected data is visualized as infographics. Data Opt-in finally lets users decide whether they would like to share their personal data to enable the affective functionalities described above.…”

Section: Transparency Use Casesmentioning

confidence: 99%

What If Your Car Would Care? Exploring Use Cases For Affective Automotive User Interfaces

Braun

Weber

et al. 2020

22nd International Conference on Human-Computer Interaction With Mobile Devices and Services

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In this paper we present use cases for affective user interfaces (UIs) in cars and how they are perceived by potential users in China and Germany. Emotion-aware interaction is enabled by the improvement of ubiquitous sensing methods and provides potential benefits for both traffic safety and personal well-being. To promote the adoption of affective interaction at an international scale, we developed 20 mobile in-car use cases through an inter-cultural design approach and evaluated them with 65 drivers in Germany and China. Our data shows perceived benefits in specific areas of pragmatic quality as well as cultural differences, especially for socially interactive use cases. We also discuss general implications for future affective automotive UI. Our results provide a perspective on cultural peculiarities and a concrete starting point for practitioners and researchers working on emotion-aware interfaces. CCS CONCEPTS • Human-centered computing → User studies; Empirical studies in HCI.

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I Drive My Car and My States Drive Me

Cited by 7 publications

References 14 publications

Improving Driver Emotions with Affective Strategies

Improving Driver Emotions with Affective Strategies

Review and Perspectives on Human Emotion for Connected Automated Vehicles

What If Your Car Would Care? Exploring Use Cases For Affective Automotive User Interfaces

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