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dc.contributor.authorTheobald, Nina
dc.contributor.authorFriedrich, Felix
dc.contributor.authorJoisten, Philip
dc.contributor.authorAbendroth, Bettina
dc.date.accessioned2024-05-29T07:59:23Z
dc.date.available2024-05-29T07:59:23Z
dc.date.issued2024-05-31
dc.identifier.urihttps://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/4237
dc.identifier.urihttps://doi.org/10.48328/tudatalib-1445
dc.descriptionThis dataset is supplementary material to a publication of an online survey investigating emotional eyes of automated vehicles (AVs) for AV-pedestrian interaction. The online survey included a study section on emotion recognition in abstract eye design and a study section on the acceptance of an AV expressing emotions on its avatar head in interaction with pedestrians. In the first study section, participants watched eighteen videos of the eye designs devoid of vehicle context and were tasked with assigning the correct emotions to them using a forced-choice paradigm. For each of Ekman's six basic emotions (Anger, Disgust, Fear, Happiness, Sadness, Surprise), specifications for the design dimensions shape, color and motion were used to create three eye designs building on each other: design 1: shape; design 2: shape and color; design 3: shape, color and motion. The second study section comprised the description of six short user scenarios with interactions between an anthropomorphic AV (EDAG CityBot) and a pedestrian in road traffic, each accompanied by a video created in a virtual reality environment showing the AV expressing the situation-specific emotion using eye design 3 on its avatar head. The eighteen videos (Eye_Design_1/2/3_Anger.mp4, Eye_Design_1/2/3_Disgust.mp4, Eye_Design_1/2/3_Fear.mp4, Eye_Design_1/2/3_Happiness.mp4, Eye_Design_1/2/3_Sadness.mp4, Eye_Design_1/2/3_Surprise.mp4) from the first study section on emotion recognition and the six videos (AV_Eye_Design_3_Anger.mp4, AV_Eye_Design_3_Disgust.mp4, AV_Eye_Design_3_Fear.mp4, AV_Eye_Design_3_Happiness.mp4, AV_Eye_Design_3_Sadness.mp4, AV_Eye_Design_3_Surprise.mp4) as well as six scenario descriptions (Scenario_Descriptions.pdf) from the second study section on emotion acceptance can be viewed here.de_DE
dc.language.isoende_DE
dc.rightsCreative Commons Attribution 4.0
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectAutomated Vehiclede_DE
dc.subjectDesignde_DE
dc.subjectEmotionde_DE
dc.subjectExternal Human-Machine Interfacede_DE
dc.subjectHuman-Machine Interactionde_DE
dc.subjectPedestriande_DE
dc.subject.classification4.41-04 Verkehrs- und Transportsysteme, Intelligenter und automatisierter Verkehrde_DE
dc.subject.classification4.41-05 Arbeitswissenschaft, Ergonomie, Mensch-Maschine-Systemede_DE
dc.subject.ddc380
dc.subject.ddc620
dc.titleEmotional Eyes for Automated Vehicles: Investigating Design Dimensions and Pedestrian Acceptance - Supplementary Materialde_DE
dc.typeTextde_DE
dc.typeAudiovisualde_DE
tud.unitTUDa
tud.history.classificationVersion=2020-2024;407-04 Verkehrs- und Transportsysteme, Intelligenter und automatisierter Verkehr
tud.history.classificationVersion=2020-2024;407-05 Arbeitswissenschaft, Ergonomie, Mensch-Maschine-Systeme


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Creative Commons Attribution 4.0
Solange nicht anders angezeigt, wird die Lizenz wie folgt beschrieben: Creative Commons Attribution 4.0