標(biāo)題: Titlebook: HCI in Mobility, Transport, and Automotive Systems; 5th International Co Heidi Kr?mker Conference proceedings 2023 The Editor(s) (if applic [打印本頁] 作者: 揭發(fā) 時(shí)間: 2025-3-21 18:45
書目名稱HCI in Mobility, Transport, and Automotive Systems影響因子(影響力)
書目名稱HCI in Mobility, Transport, and Automotive Systems影響因子(影響力)學(xué)科排名
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書目名稱HCI in Mobility, Transport, and Automotive Systems網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱HCI in Mobility, Transport, and Automotive Systems被引頻次
書目名稱HCI in Mobility, Transport, and Automotive Systems被引頻次學(xué)科排名
書目名稱HCI in Mobility, Transport, and Automotive Systems年度引用
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書目名稱HCI in Mobility, Transport, and Automotive Systems讀者反饋
書目名稱HCI in Mobility, Transport, and Automotive Systems讀者反饋學(xué)科排名
作者: Fibrinogen 時(shí)間: 2025-3-22 00:13
978-3-031-35907-1The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: 粗語 時(shí)間: 2025-3-22 01:48
HCI in Mobility, Transport, and Automotive Systems978-3-031-35908-8Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: LIKEN 時(shí)間: 2025-3-22 08:18
https://doi.org/10.1007/978-3-031-35908-8artificial intelligence; communication systems; computer hardware; computer networks; engineering; human 作者: 訓(xùn)誡 時(shí)間: 2025-3-22 09:47
0302-9743 ity; and Sustainable Mobility...Part II: Driver Behavior and Performance; Designing Driver and Passenger User Experience; and Accessibility and Inclusive Mobility..978-3-031-35907-1978-3-031-35908-8Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 貪婪性 時(shí)間: 2025-3-22 13:12 作者: 易達(dá)到 時(shí)間: 2025-3-22 20:54 作者: pulmonary 時(shí)間: 2025-3-22 22:06
https://doi.org/10.1007/978-1-4419-0907-7imed to determine which approach leads to better decision-making by drivers. Results showed that participants preferred direct information, but indirect information led to better decision-making and these findings warrant further discussion.作者: 青少年 時(shí)間: 2025-3-23 01:23
FIGCONs: Exploiting FIne-Grained CONstructs of?Facial Expressions for?Efficient and?Accurate Estimatches to predict in-vehicle statistics. The experimental results deliver three key findings, which showcase the benefits of FIGCONs and the potentials for practical deployments of in-vehicle ML-based predictors. We hope our work can stimulate more future works and potential practices in similar manners.作者: CHIDE 時(shí)間: 2025-3-23 08:00 作者: 匍匐前進(jìn) 時(shí)間: 2025-3-23 09:55 作者: 甜得發(fā)膩 時(shí)間: 2025-3-23 17:28
0302-9743 obiTAS 2023, held as part of the 25th International Conference, HCI International 2023, held in Copenhagen, Denmark, in July 2023...The total of 1578 papers and 396 posters included in the HCII 2022 proceedings was carefully reviewed and selected from 7472 submissions...The MobiTAS 2023 proceedings 作者: Chromatic 時(shí)間: 2025-3-23 20:25 作者: Shuttle 時(shí)間: 2025-3-23 23:52
https://doi.org/10.1007/978-1-4615-4525-5K dataset. Then, we elaborate on how to build the current version of BROOK dataset via a year-long study, and give an overview of the dataset. Next, we present two example studies using BROOK to justify the applicability of BROOK dataset. We also believe BROOK dataset can foster an extensive amount of follow-up studies, and it’s available at 作者: 最高峰 時(shí)間: 2025-3-24 05:59
https://doi.org/10.1007/978-1-4614-0317-3o the touch-based method, though the interaction with steering wheel buttons was still the most favorable. In conclusion UH feedback can be utilized for delivering the interactive system state to drivers, but this approach may cause additional cognitive load and should be further tested in a running car.作者: flamboyant 時(shí)間: 2025-3-24 08:12
Consistency Analysis of Driving Style Classification Based on Subjective Evaluation and Objective DrSI-C has some degree of predictive value for driving behavior in simulators. The inconsistency could be attributed to differences in the information used for clustering, limitations of self-reported methods, and the impact of simulator distortion.作者: 顯而易見 時(shí)間: 2025-3-24 12:59 作者: amygdala 時(shí)間: 2025-3-24 14:53 作者: Generator 時(shí)間: 2025-3-24 22:36 作者: 現(xiàn)暈光 時(shí)間: 2025-3-25 00:52
al role of User Experience in validating the proposed assistive system and the User Interfaces needed for client/user satisfaction. We also outline the expected role of Metaverse in the future of the evolution of this domain.作者: 嬰兒 時(shí)間: 2025-3-25 04:10
Digitalization and Virtual Assistive Systems in Tourist Mobility: Evolution, an Experience (with Obsal role of User Experience in validating the proposed assistive system and the User Interfaces needed for client/user satisfaction. We also outline the expected role of Metaverse in the future of the evolution of this domain.作者: 方便 時(shí)間: 2025-3-25 09:39 作者: 甜瓜 時(shí)間: 2025-3-25 15:06 作者: 放牧 時(shí)間: 2025-3-25 17:40
Design Study on the Effect of Intelligent Vehicles Interaction Mode on Drivers’ Cognitive Loade HMI system is developed based on the research and analysis findings, and the system is evaluated once again to demonstrate that the research findings may give relevant design ideas for intelligent vehicle HMI development.作者: 斑駁 時(shí)間: 2025-3-25 22:49
Do Drivers Vary in Preferences for Automated Driving Styles Across Different Scenarios? Evidence froditionally, driver preferences varied between passive and active driving scenarios. The study found that driver acceptance of autonomous vehicles was more stable and less influenced by the scenario, compared to trust. The findings from this study can be used to improve the design of autonomous drivi作者: 泥土謙卑 時(shí)間: 2025-3-26 00:46
Research on the Influence of Vehicle Head-Up Display Warning Design on Driver Experience with Differch significantly helps to build more effective collaboration between drivers and AVs. Based on the fact listed above, current research on display timing focuses on the takeover prompt in non-driving activity scenarios, while there is less research on the timing of vehicle HUD warning feedback. The e作者: subacute 時(shí)間: 2025-3-26 05:46
Objective Metrics for Assessing Visual Complexity of Vehicle Dashboards: A Machine-Learning Based Sted the indicators in the metrics to predict the dashboard PVC. Machine learning was innovatively applied, and the models were found to have stable performance. The study contributes reliable metrics and novel methodology to evaluate the visual complexity of the dashboards for the reference of future作者: 消耗 時(shí)間: 2025-3-26 12:26
A Systematic Analysis for Multisensory Virtual Artifacts Design in Immersive E-Sport Applications ant to represent a design map to support the designer of digital interfaces in the simulation domain. For the designer of human-computer interaction interfaces, the opportunity emerges to develop innovative interaction patterns and dynamics that exploit multimodality as an input and feedback channel. 作者: FILTH 時(shí)間: 2025-3-26 14:43
An Experimentation to?Measure the?Influence of?Music on?Emotionsudio enhanced music tracks, to evaluate the listeners’ emotional “sensitivity” to music stimuli. The experimental results indicated that, during the reproduction in the university lab, listeners’ “happiness” and “anger” states were highly affected by the music stimuli and highlighted a possible rela作者: Aids209 時(shí)間: 2025-3-26 18:09 作者: triptans 時(shí)間: 2025-3-27 00:46
MOSI APP - A Motion Cueing Application to?Mitigate Car Sickness While Performing Non-driving Taskn-driving task performances and subjective evaluation on our application were collected and analyzed. Results show that: 1) for all 26 participants with valid data, comparing to the case without motion cues, the . could contribute to motion sickness mitigation (though with no significance, .), and i作者: Aerate 時(shí)間: 2025-3-27 01:56
Research on Chinese Font Size of Automobile Central Control Interface Drivingsability is positively correlated with the font size within a certain range, and the workload, speed standard deviation and task response time are negatively correlated with the font size, but this negative correlation trend tends to flatten after the font size is greater than 7.5?mm. Therefore, 5.5作者: Carcinoma 時(shí)間: 2025-3-27 06:11
Properties of Mould Fluxes and Slag Films,that implicit cues effect the anticipation of a lane change as well as the perceiving of discomfort. In particular, speed difference and Time To Collision have an high effect on perceived discomfort. This may be due to the relation-ship between speed and distance. Small speed differences result in a作者: certitude 時(shí)間: 2025-3-27 12:01 作者: 真實(shí)的人 時(shí)間: 2025-3-27 16:19 作者: erythema 時(shí)間: 2025-3-27 18:38 作者: Armory 時(shí)間: 2025-3-27 23:11
ed the indicators in the metrics to predict the dashboard PVC. Machine learning was innovatively applied, and the models were found to have stable performance. The study contributes reliable metrics and novel methodology to evaluate the visual complexity of the dashboards for the reference of future作者: Diuretic 時(shí)間: 2025-3-28 06:07
t to represent a design map to support the designer of digital interfaces in the simulation domain. For the designer of human-computer interaction interfaces, the opportunity emerges to develop innovative interaction patterns and dynamics that exploit multimodality as an input and feedback channel. 作者: drusen 時(shí)間: 2025-3-28 10:05 作者: 憤世嫉俗者 時(shí)間: 2025-3-28 11:37
,Fundamentals of Cation–π Interactions,of automobile warning information are proposed, and the prototype scheme is evaluated subjectively and objectively. Based on the analysis results, the vehicle warning information interaction system was constructed, and the active corresponding strategies of warning information were summarized under 作者: PARA 時(shí)間: 2025-3-28 14:42 作者: FEAT 時(shí)間: 2025-3-28 20:57 作者: 婚姻生活 時(shí)間: 2025-3-29 02:08 作者: 意外 時(shí)間: 2025-3-29 04:06
FIGCONs: Exploiting FIne-Grained CONstructs of?Facial Expressions for?Efficient and?Accurate Estimats high accuracy and less cost for deploying redundant sensors/cameras inside the vehicle. However, existing approaches for in-vehicle ML-based predictors heavily rely on the raw driver data for processing, which mcan push the burdens on multiple components, ranging from on-vehicle devices to Interne作者: Myofibrils 時(shí)間: 2025-3-29 10:31 作者: acrobat 時(shí)間: 2025-3-29 12:34 作者: 逗它小傻瓜 時(shí)間: 2025-3-29 16:11
Design Study on the Effect of Intelligent Vehicles Interaction Mode on Drivers’ Cognitive Load order to improve the driving experience of this group and prevent traffic accidents as much as possible. The Multiple-Resource Theory is used to analyze the interaction modes of intelligent vehicles in this study, and the role of Physical Stuff interaction, Touch-screen Interaction, Voice Interacti作者: 半球 時(shí)間: 2025-3-29 20:47
Consistency Analysis of Driving Style Classification Based on Subjective Evaluation and Objective Dricipants participated in the study and completed the MDSI-C questionnaire and drove in a simulator for 50 min, which involved seven different types of driving scenarios on a highway. The data obtained from the questionnaire scores on six dimensions and thirteen driving behavior data were used to per作者: 開花期女 時(shí)間: 2025-3-30 00:06
Do Drivers Vary in Preferences for Automated Driving Styles Across Different Scenarios? Evidence froechnology. In order to enhance this experience, it is necessary to understand drivers’ preferences and attitudes towards the automated driving style. In this study, 32 drivers with 4 manual driving styles were recruited for simulation experiment under 2 driving scenarios. During each scenario, the d作者: Esalate 時(shí)間: 2025-3-30 07:09 作者: defendant 時(shí)間: 2025-3-30 09:44
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 作者: 失望昨天 時(shí)間: 2025-3-30 15:23
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-作者: 剝皮 時(shí)間: 2025-3-30 16:56
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作者: FLIRT 時(shí)間: 2025-3-30 22:16
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作者: 獨(dú)行者 時(shí)間: 2025-3-31 02:11 作者: GEST 時(shí)間: 2025-3-31 05:59 作者: depreciate 時(shí)間: 2025-3-31 12:19 作者: 金絲雀 時(shí)間: 2025-3-31 16:37 作者: Counteract 時(shí)間: 2025-3-31 17:50
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作者: 山間窄路 時(shí)間: 2025-3-31 22:30 作者: Judicious 時(shí)間: 2025-4-1 04:47
Radar: The Cassini Titan Radar Mapper,s high accuracy and less cost for deploying redundant sensors/cameras inside the vehicle. However, existing approaches for in-vehicle ML-based predictors heavily rely on the raw driver data for processing, which mcan push the burdens on multiple components, ranging from on-vehicle devices to Interne作者: 赤字 時(shí)間: 2025-4-1 06:41
