People | Locations | Statistics |
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Ziakopoulos, Apostolos | Athens |
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Vigliani, Alessandro | Turin |
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Catani, Jacopo | Rome |
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Statheros, Thomas | Stevenage |
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Utriainen, Roni | Tampere |
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Guglieri, Giorgio | Turin |
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Martínez Sánchez, Joaquín |
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Tobolar, Jakub |
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Volodarets, M. |
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Piwowar, Piotr |
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Tennoy, Aud | Oslo |
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Matos, Ana Rita |
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Cicevic, Svetlana |
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Sommer, Carsten | Kassel |
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Liu, Meiqi |
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Pirdavani, Ali | Hasselt |
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Niklaß, Malte |
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Lima, Pedro | Braga |
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Turunen, Anu W. |
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Antunes, Carlos Henggeler |
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Krasnov, Oleg A. |
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Lopes, Joao P. |
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Turan, Osman |
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Lučanin, Vojkan | Belgrade |
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Tanaskovic, Jovan |
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Alt, Florian
in Cooperation with on an Cooperation-Score of 37%
Topics
- autonomous vehicle
- driver
- automobile
- comfort
- behavior
- visualisation
- indicating instrument
- pedestrian
- traffic safety
- intersection
- virtual reality
- pedestrian safety
- traffic signal
- autonomous automobile
- grille
- data
- driving
- road
- highway safety
- human being
- interface
- anger
- reckless driver
- researcher
- driving simulator
- computer science
- age
- chemical element
- personality
- information system
- emotion
- demographics
- safety
- forest
- design
- sensor
- recommendation
- lighting
- brain
- feedback control
- driver error
- heart
- heart rate
- distraction
- driver information system
- language
- forecasting
- infrastructure
- automobile industry
- contrast
- parking
- exploration
- privacy
- survey
- autonomous driving
- traffic behavior
- foundation
- automation
- designer
- information management
- sale
- horsepower
- simulation
- costs
- stakeholder
- driver support system
- supervisor
- prototype
- multidisciplinary team
- show 39 more
Publications (10/10 displayed)
- 2019Investigating the influence of external car displays on pedestrians' crossing behavior in virtual realitycitations
- 2019Improving driver emotions with affective strategiescitations
- 2019At your servicecitations
- 2019User Experience of Driver State Visualizations: A Look at Demographics and Personalitiescitations
- 2019Detecting and Influencing Driver Emotions Using Psycho-Physiological Sensors and Ambient Lightcitations
- 2019Visualizing natural language interaction for conversational in-vehicle information systems to minimize driver distractioncitations
- 2018Car exterior surface displays:exploration in a real-world context
- 2018A Survey to Understand Emotional Situations on the Road and What They Mean for Affective Automotive UIscitations
- 2018Car Exterior Surface Displays: Exploration in a Real-World Contextcitations
- 2017CarSketch
Places of action
article
A Survey to Understand Emotional Situations on the Road and What They Mean for Affective Automotive UIs
Abstract
In this paper, we present the results of an online survey (N = 170) on emotional situations on the road. In particular, we asked potential early adopters to remember a situation where they felt either an intense positive or negative emotion while driving. Our research is motivated by imminent disruptions in the automotive sector due to automated driving and the accompanying switch to selling driving experiences over horsepower. This creates a need to focus on the driver’s emotion when designing in-car interfaces. As a result of our research, we present a set of propositions for affective car interfaces based on real-life experiences. With our work we aim to support the design of affective car interfaces and give designers a foundation to build upon. We find respondents often connect positive emotions with enjoying their independence, while negative experiences are associated mostly with traffic behavior. Participants who experienced negative situations wished for better information management and a higher degree of automation. Drivers with positive emotions generally wanted to experience the situation more genuinely, for example, by switching to a “back-to-basic” mode. We explore these statements and discuss recommendations for the design of affective interfaces in future cars.
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