2015 · 16 citations · 16 references
Public HealthBehavioral SciencesPsychologyMemoryTransportTransportationAffective ComputingEmotion RecognitionMoodTravel BehaviorCommute Time-of-day ChoiceCommuting CongestionDriver BehaviorDriver Behavior ModelingEmotional User ExperienceEmotionsHuman Factors In DrivingTraffic Congestion
This paper presents insights on driver's User Experience (UX) in terms of systematically investigating predicted experience, actual experience, and recalled experience. By conducting a three-week field study with car commuters in two countries, we studied how frustration and anger differentiate in prediction, actual experience, and recall. Our results show that commuters accurately predict their upcoming anger or frustration in a traffic congestion, however, lower their experienced frustration when being recalled. Moreover, unexpected traffic congestions (in contrast to expected ones) are prone to higher levels of anger. We further found that time of day is related to the prediction of anger, and mood is related to the prediction of frustration. With our study we provide a holistic view on commuters' everyday emotions and experiences -- not only when being on the road, but also before and after the trip.
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Evangelos Karapanos, John Zimmerman, Jodi Forlizzi et al. · 2009 · 545 citations
Arts, Computer Science, Design +11