Titlebook: HCI in Mobility, Transport, and Automotive Systems; Third International Heidi Krömker Conference proceedings 2021 Springer Nature Switzerl

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Great Expectations: On the Design of Predictive Motion Cues to Alleviate Carsicknessdriver-centric to passenger-centric design philosophy. As a corollary, motion sickness can be expected to become considerably more prevalent which creates a hurdle towards the successful introduction of vehicle automation and its ultimate socio-economic and environmental benefits. We here review ear

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Communication of Intentions in Automated Driving – the Importance of Implicit Cues and Contextual In mixed traffic situations, all interaction partners need to be able to detect and interpret implicit cues, as they are central to design smooth, efficient, and safe driving styles. However, most current automated driving functions do not incorporate the communication and anticipation of implicit cue

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0302-9743 s a total of 39 papers which focus on topics related to urban mobility, cooperative and automated mobility, UX in intelligent transportation systems, and mobility for diverse target user groups..978-3-030-78357-0978-3-030-78358-7Series ISSN 0302-9743 Series E-ISSN 1611-3349

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0302-9743 MobiTAS 2021, held as part of the 23rd International Conference, HCI International 2021, held as a virtual event, in July 2021...The total of 1276 papers and 241 posters included in the 39 HCII 2021 proceedings volumes was carefully reviewed and selected from 5222 submissions...MobiTAS 2021 include

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The Causes of the English Civil Warm the XML description. The system is generic and could be used to describe anti-theft systems for a variety of types of objects such as cars, trucks, boats, ATM machines, shipping containers, and others.

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Caius Burri,Friedrich Wilhelm Ahnefeldm, which has a four-tier structure and uses big data, cloud computing, AI, deep learning and other technologies. It is aimed at a variety of different scenes, to provide users with the most thoughtful advice and the most humanized service, to solve the problem of urban mobility.

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Assistive Systems for Mobility in Smart City: Humans and Goodsm, which has a four-tier structure and uses big data, cloud computing, AI, deep learning and other technologies. It is aimed at a variety of different scenes, to provide users with the most thoughtful advice and the most humanized service, to solve the problem of urban mobility.