Titlebook: HCI in Mobility, Transport, and Automotive Systems. Driving Behavior, Urban and Smart Mobility; Second International Heidi Krömker Conferen

pessimism

glisten

Development of a Driving Model That Understands Other Drivers’ Characteristics in the situation where two lanes merge on a highway was developed. Additionally, drivers’ probabilities of decisions in relation to their primary characteristics was interpreted. We presumed various drivers have different characteristics such as aggression and caution that affect their making decis

aphasia

Voice User-Interface (VUI) in Automobiles: Exploring Design Opportunities for Using VUI Through the tunities of using voice interaction in automobiles. To achieve this goal, we conducted an observational study to observe different behavior during driving. Based on video and voice recording collected through observation, we categorized the different behaviors and different sounds during the driving

BINGE

四海为家的人

I Care Who and Where You Are – Influence of Type, Position and Quantity of Oncoming Vehicles on Perce driving style is mostly implemented as a lane-centric position of the vehicle in the lane, but drivers show quite different preferences, especially with oncoming traffic. A driving simulator study was conducted to investigate seemingly natural reactive driving trajectories on rural roads in an onc

QUAIL

失望未来

Conflict Situations and Driving Behavior in Road Traffic – An Analysis Using Eyetracking and Stress traffic situations is not as safe as decisions made by human drivers. We analyzed the behavior of drivers in conflict situations in a real-life study. We used head mounted eyetracking glasses and a pulse bracelet to collect data on driver’s behavior. We used eyetracking and video data to analyze con

upstart

克制

Influencing Driver’s Behavior on an Expressway with Intrinsic Motivationffective in influencing behavior decisions with continuity and low cost. Gamification is a method of providing motivation that introduces game design elements into non-game contexts. In this study, we proposed a method for inducing a driver on an expressway to take a rest using gamification based on

惊呼

The Relationship Between Drowsiness Level and Takeover Performance in Automated Drivinghenever a Take Over Request (TOR) is issued. Human factors such as drowsiness may affect driver performance in responding to TOR. Results of research on the effects of different drowsiness levels on driver takeover performance appear inconsistent, for two possible reasons: 1. Some studies triggered