Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications最新文献_第4页

Enjoy the Ride Consciously with CAWA: Context-Aware Advisory Warnings for Automated Driving 有意识地享受CAWA:自动驾驶环境感知咨询警告

Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications Pub Date : 2022-08-29 DOI: 10.1145/3543174.3546835

Erfan Pakdamanian, Erzhen Hu, Shili Sheng, Sarit Kraus

引用次数: 1

What’s on your mind? A Mental and Perceptual Load Estimation Framework towards Adaptive In-vehicle Interaction while Driving 你在想什么?面向自适应驾驶时车内交互的心理和感知负荷估计框架

Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications Pub Date : 2022-08-10 DOI: 10.1145/3543174.3546840

Amr Gomaa, Alexandra Alles, Elena Meiser, L. Rupp, Marco Molz, Guillermo Reyes

{"title":"What’s on your mind? A Mental and Perceptual Load Estimation Framework towards Adaptive In-vehicle Interaction while Driving","authors":"Amr Gomaa, Alexandra Alles, Elena Meiser, L. Rupp, Marco Molz, Guillermo Reyes","doi":"10.1145/3543174.3546840","DOIUrl":"https://doi.org/10.1145/3543174.3546840","url":null,"abstract":"Several researchers have focused on studying driver cognitive behavior and mental load for in-vehicle interaction while driving. Adaptive interfaces that vary with mental and perceptual load levels could help in reducing accidents and enhancing the driver experience. In this paper, we analyze the effects of mental workload and perceptual load on psychophysiological dimensions and provide a machine learning-based framework for mental and perceptual load estimation in a dual task scenario for in-vehicle interaction (https://github.com/amrgomaaelhady/MWL-PL-estimator). We use off-the-shelf non-intrusive sensors that can be easily integrated into the vehicle’s system. Our statistical analysis shows that while mental workload influences some psychophysiological dimensions, perceptual load shows little effect. Furthermore, we classify the mental and perceptual load levels through the fusion of these measurements, moving towards a real-time adaptive in-vehicle interface that is personalized to user behavior and driving conditions. We report up to 89% mental workload classification accuracy and provide a real-time minimally-intrusive solution.","PeriodicalId":284749,"journal":{"name":"Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130228649","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Cause-and-Effect Analysis of ADAS: A Comparison Study between Literature Review and Complaint Data ADAS的因果分析:文献综述与投诉资料的比较研究

Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications Pub Date : 2022-07-30 DOI: 10.1145/3543174.3547117

Jackie Ayoub, Zifei Wang, Meitang Li, Huizhong Guo, Rini Sherony, Shan Bao, Feng Zhou

{"title":"Cause-and-Effect Analysis of ADAS: A Comparison Study between Literature Review and Complaint Data","authors":"Jackie Ayoub, Zifei Wang, Meitang Li, Huizhong Guo, Rini Sherony, Shan Bao, Feng Zhou","doi":"10.1145/3543174.3547117","DOIUrl":"https://doi.org/10.1145/3543174.3547117","url":null,"abstract":"Advanced driver assistance systems (ADAS) are designed to improve vehicle safety. However, it is difficult to achieve such benefits without understanding the causes and limitations of the current ADAS and their possible solutions. This study 1) investigated the limitations and solutions of ADAS through a literature review, 2) identified the causes and effects of ADAS through consumer complaints using natural language processing models, and 3) compared the major differences between the two. These two lines of research identified similar categories of ADAS causes, including human factors, environmental factors, and vehicle factors. However, academic research focused more on human factors of ADAS issues and proposed advanced algorithms to mitigate such issues while drivers complained more of vehicle factors of ADAS failures, which led to associated top consequences. The findings from these two sources tend to complement each other and provide important implications for the improvement of ADAS in the future.","PeriodicalId":284749,"journal":{"name":"Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116507180","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

How Do Drivers Self-Regulate their Secondary Task Engagements? The Effect of Driving Automation on Touchscreen Interactions and Glance Behavior 司机如何自我调节他们的次要任务参与?驾驶自动化对触摸屏交互和浏览行为的影响

Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications Pub Date : 2022-07-09 DOI: 10.1145/3543174.3545173

Patrick Ebel, Moritz Berger, Christoph Lingenfelder, Andreas Vogelsang

{"title":"How Do Drivers Self-Regulate their Secondary Task Engagements? The Effect of Driving Automation on Touchscreen Interactions and Glance Behavior","authors":"Patrick Ebel, Moritz Berger, Christoph Lingenfelder, Andreas Vogelsang","doi":"10.1145/3543174.3545173","DOIUrl":"https://doi.org/10.1145/3543174.3545173","url":null,"abstract":"With ever-improving driver assistance systems and large touchscreens becoming the main in-vehicle interface, drivers are more tempted than ever to engage in distracting non-driving-related tasks. However, little research exists on how driving automation affects drivers’ self-regulation when interacting with center stack touchscreens. To investigate this, we employ multilevel models on a real-world driving dataset consisting of 10,139 sequences. Our results show significant differences in drivers’ interaction and glance behavior in response to varying levels of driving automation, vehicle speed, and road curvature. During partially automated driving, drivers are not only more likely to engage in secondary touchscreen tasks, but their mean glance duration toward the touchscreen also increases by 12 % (Level 1) and 20 % (Level 2) compared to manual driving. We further show that the effect of driving automation on drivers’ self-regulation is larger than that of vehicle speed and road curvature. The derived knowledge can facilitate the safety evaluation of infotainment systems and the development of context-aware driver monitoring systems.","PeriodicalId":284749,"journal":{"name":"Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127736639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Hybrid Eyes: Design and Evaluation of the Prediction-Level Cooperative Driving with a Real-World Automated Driving System 混合眼睛:基于现实世界自动驾驶系统的预测级协同驾驶设计与评估

Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications Pub Date : 2022-04-28 DOI: 10.1145/3543174.3546832

Chao Wang, Derck Chu, Brady Michael Kuhl, Matti Krüger, Thomas H. Weisswange

{"title":"Hybrid Eyes: Design and Evaluation of the Prediction-Level Cooperative Driving with a Real-World Automated Driving System","authors":"Chao Wang, Derck Chu, Brady Michael Kuhl, Matti Krüger, Thomas H. Weisswange","doi":"10.1145/3543174.3546832","DOIUrl":"https://doi.org/10.1145/3543174.3546832","url":null,"abstract":"While automated driving systems (ADS) have progressed fast in recent years, there are still various situations in which an ADS cannot perform as well as a human driver. Being able to anticipate situations, particularly when it comes to predicting the behaviour of surrounding traffic, is one of the key elements for ensuring safety and comfort. As humans are still surpassing state-of-the-art ADS in this task, this led to the development of a new concept, called prediction-level cooperation, in which the human can help the ADS to better anticipate the behaviour of other road users. Following this concept, we implemented an interactive prototype, called Prediction-level Cooperative Automated Driving system (PreCoAD), which allows human drivers to intervene in an existing ADS that has been validated on the public road, via gaze-based input and visual output. In a driving simulator study, 15 participants drove different highway scenarios with plain automation and with automation using the PreCoAD system. The results show that the PreCoAD concept can enhance automated driving performance and provide a positive user experience. Follow-up interviews with participants also revealed the importance of making the system’s reasoning process more transparent.","PeriodicalId":284749,"journal":{"name":"Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115964134","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0