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Titlebook: HCI in Mobility, Transport, and Automotive Systems; 5th International Co Heidi Krömker Conference proceedings 2023 The Editor(s) (if applic

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楼主: 揭发
发表于 2025-3-30 09:44:37 | 显示全部楼层
Objective Metrics for Assessing Visual Complexity of Vehicle Dashboards: A Machine-Learning Based Std but not limited to driving. With the expansion of the IVIS features, modern dashboards additionally integrate various new elements, which often leads to an increase in their visual complexity. Since high visual complexity of the dashboards threatens driving safety and performance, it is essential
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A Systematic Analysis for Multisensory Virtual Artifacts Design in Immersive E-Sport Applications anetween transportation and vehicle design and game tech, the area of e-sports and, in particular, that of sim-racing appears to be of particular interest. The perceptual dimension, in its potential as a vehicle for distributed multilevel feedback, becomes a tool that blurs the boundaries of the real-
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Digitalization and Virtual Assistive Systems in Tourist Mobility: Evolution, an Experience (with Obsent, logistics). Tourism management is also highly concerned by this evolution. In this paper we try to present today’s situation based on a 7-week trip showing appropriate and shame situations. After this case study, we give a list of appropriate practices and orientations and confirm the fundament
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An Experimentation to Measure the Influence of Music on Emotionsrity of these frameworks has been implemented only under in-Lab or in-car conditions, in the second case focusing on improving driving performance. Therefore, to the authors’ best knowledge, no research has been conducted for mobility settings, such as trains, planes, yacht, etc. Focusing on this as
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Cueing Car Drivers with Ultrasound Skin Stimulationtive context. Participants navigated a horizontal menu using touch, buttons, and hand gestures during simulated driving. Mid-air interaction and UH feedback design was tested in two studies. The first study proved the participants were able to perceive the menu interaction state from UH feedback, bu
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