Sinan E. Arkonac, Duncan P. Brumby, Tim Smith, Harsha Vardhan Ramesh Babu
{"title":"In-car distractions and automated driving: a preliminary simulator study","authors":"Sinan E. Arkonac, Duncan P. Brumby, Tim Smith, Harsha Vardhan Ramesh Babu","doi":"10.1145/3349263.3351505","DOIUrl":"https://doi.org/10.1145/3349263.3351505","url":null,"abstract":"As vehicles with automated driving features become more common, drivers may become ever more tempted to engage in secondary in-car tasks. We report on the results of a driving simulator study that investigated whether the presence of an in-car video would make drivers more likely to switch on an automated driving system so that they can watch the video. Results show an increase in automated driving mode usage when a video was playing compared to when it was not playing. The presence of this in-car video also made participants slower at reacting to frequent red traffic lights, which the automated driving mode did not detect and were the responsibility of the driver to respond to. These results suggest that in-car distractions are a critical concern for the safe and responsible use of automated driving systems.","PeriodicalId":237150,"journal":{"name":"Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115414015","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}
Marine Capallera, Emmanuel de Salis, Quentin Meteier, Leonardo Angelini, S. Carrino, Omar Abou Khaled, E. Mugellini
{"title":"Secondary task and situation awareness, a mobile application for conditionally automated vehicles","authors":"Marine Capallera, Emmanuel de Salis, Quentin Meteier, Leonardo Angelini, S. Carrino, Omar Abou Khaled, E. Mugellini","doi":"10.1145/3349263.3351500","DOIUrl":"https://doi.org/10.1145/3349263.3351500","url":null,"abstract":"Autonomous vehicles are developing rapidly and will lead to a significant change in the driver's role: s/he will have to move from the role of actor to the role of supervisor. Indeed, s/he will soon be able to perform a secondary task but s/he must be able to take over control when a critical situation is not managed by the driving system. The role of new interfaces and interactions within the vehicle is important to take into account. This article describes the design of an application that provides the driver with information about the environment perceived by the vehicle. This application is displayed as split screen on a tablet by which a secondary task can be performed. The results of initial experiment showed that the participants correctly identified all the factors limiting the proper functioning of the driving system while performing a secondary task on the tablet.","PeriodicalId":237150,"journal":{"name":"Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings","volume":"198 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115656590","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}
Emmanuel de Salis, Dan Yvan Baumgartner, S. Carrino
{"title":"Can we predict driver distraction without driver psychophysiological state?: a feasibility study on noninvasive distraction detection in manual driving","authors":"Emmanuel de Salis, Dan Yvan Baumgartner, S. Carrino","doi":"10.1145/3349263.3351514","DOIUrl":"https://doi.org/10.1145/3349263.3351514","url":null,"abstract":"Driver distraction is a major issue in manual driving, causing more than 30'000 fatal crashes on US roadways in 2015 only [11]. As such, it is widely studied in order to increase driving safety. Many studies show how to detect driver distraction using Machine Learning algorithms and driver psychophysiological data. In this study, we investigate the trade-off between efficiency and privacy while predicting driver distraction. Specifically, we want to assess the impact on the estimation of the driver state without access to his/her psychophysiological data. Different Machine Learning models (Convolutional Neural Networks, K-NN and Random forest) are implemented to evaluate the validity of the distraction detection with and without access to psychophysiological data. The results show that a Convolutional Neural Network model is still able to detect driver distraction without access to psychophysiological features, with an f1-score of 97.11%, losing only 1.37% in the process.","PeriodicalId":237150,"journal":{"name":"Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116666853","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}
{"title":"Switching between augmented reality and a manual-visual task: a preliminary study","authors":"Nadia Fereydooni, Orit Shaer, A. Kun","doi":"10.1145/3349263.3351502","DOIUrl":"https://doi.org/10.1145/3349263.3351502","url":null,"abstract":"In this project we designed an Augmented Reality working space for drivers in a semi-automated vehicle, and evaluated users visual behavior in this space specifically during switching from the AR non-driving task to a Manual-Visual task. The results of this preliminary study show that users do not switch between the two provided tasks immediately after they are asked to. One possible explanation for this gradual transition is the timing of the interruption during the sub task. These results also provide a potential path for how to proceed with the study.","PeriodicalId":237150,"journal":{"name":"Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117122230","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}
{"title":"Bringing the thrill to automated vehicles: an evaluation of thrill-seeking driving displays","authors":"Zoe M. Becerra, Brittany E. Holthausen, B. Walker","doi":"10.1145/3349263.3351328","DOIUrl":"https://doi.org/10.1145/3349263.3351328","url":null,"abstract":"As vehicles with automated features are becoming more common on roadways, it is important to help drivers appropriately trust and accept those automated systems. Utilizing personalized driving displays may enhance the experience of operating a highly automated vehicle and thereby improve driver acceptance of automation. The current study evaluated a personalized display profile for \"thrill-seeking\" drivers, to determine if the displays conveyed the intended information and matched drivers' mental model for thrill-seeking driving. The results indicated the displays conveyed the intended meaning to the user, but some displays need further improvement to better match the mental model for thrill-seeking driving.","PeriodicalId":237150,"journal":{"name":"Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings","volume":"14 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126872385","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}
Emma van Amersfoorth, Lotte Roefs, Quinta Bonekamp, Laurent Schuermans, Bastian Pfleging
{"title":"Increasing driver awareness through translucency on windshield displays","authors":"Emma van Amersfoorth, Lotte Roefs, Quinta Bonekamp, Laurent Schuermans, Bastian Pfleging","doi":"10.1145/3349263.3351911","DOIUrl":"https://doi.org/10.1145/3349263.3351911","url":null,"abstract":"When driving a car, important objects (e.g., pedestrians) are often hidden by surrounding vehicles which can delay drivers' reaction times. In this paper we therefore explore how an augmented reality enabled windshield display can improve the drivers' capabilities. By overlaying of what is behind nearby vehicles onto the own windshield, these vehicles can be rendered translucent. In a simulator experiment we evaluate the influence of three levels of opacity on driver and braking behavior. Results indicate a trend of translucency decreasing the required braking time.","PeriodicalId":237150,"journal":{"name":"Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114165487","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}
{"title":"Personalized user profiles for autonomous vehicles","authors":"Alexander Trende, Daniela Gräfing, Lars Weber","doi":"10.1145/3349263.3351315","DOIUrl":"https://doi.org/10.1145/3349263.3351315","url":null,"abstract":"Adapting the driving style of autonomous vehicles to fit the user's preferences may reduce uncomfortable user experiences. This can support the adoption process of the technology. We present ongoing research about adaptive customizable user profiles for autonomous driving styles. We propose a system that allows users to customize maneuver-based driving styles via a graphical user interface. Additionally, the system can learn user preferences based on user state assessment. We plan to design and evaluate this system with two driving simulator studies.","PeriodicalId":237150,"journal":{"name":"Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131810961","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}
Brittany E. Holthausen, Philipp Wintersberger, Zoe M. Becerra, Alexander G. Mirnig, Alexander Kunze, B. Walker
{"title":"Third workshop on trust in automation: how does trust influence interaction","authors":"Brittany E. Holthausen, Philipp Wintersberger, Zoe M. Becerra, Alexander G. Mirnig, Alexander Kunze, B. Walker","doi":"10.1145/3349263.3350761","DOIUrl":"https://doi.org/10.1145/3349263.3350761","url":null,"abstract":"Properly calibrated trust in automation is a key issue for a successful implementation of automated vehicle technology. Recent research and investigation of accidents involving automated driving systems have shown that drivers have difficulties adjusting their trust levels appropriately with system performance criteria, which is a key requirement for trust calibration [7]. Whereas previous editions of this workshop have concentrated on suitable definitions, measurements, and factors influencing trust, this year's edition shifts the focus to the question: How does trust interact with and influence other latent constructs, such as risk behavior, situation awareness, or users' willingness to engage in non-driving related tasks? The workshop thereby welcomes both experts and young researchers who (already are or want to) conduct research in this timely area, with the aim of developing concrete research programs and experimental designs, that close existing knowledge gaps and allow further progress in the domain of trust calibration.","PeriodicalId":237150,"journal":{"name":"Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131208286","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}
{"title":"Driving-task-related human-machine interaction in automated driving: towards a bigger picture","authors":"Marcel Walch, Mark Colley, M. Weber","doi":"10.1145/3349263.3351527","DOIUrl":"https://doi.org/10.1145/3349263.3351527","url":null,"abstract":"The role and respective tasks of human drivers are changing due to the introduction of automation in driving. Full automation, where the driver is only a passenger, is still far-off. Consequently, both academia and industry investigate how the interaction between automated vehicles and their drivers could look like and how responsibilities could be allocated. Different approaches have been proposed to allow to deal with shortcomings of automated vehicles: control shifts (handovers and takeovers), shared control, and cooperation. While there are models and frameworks for individual areas, a big picture is still missing in literature. We propose a first overview that aims to bring the three areas in relation based on the particular differences (presence of mode changes, duration of interaction, and level of interaction).","PeriodicalId":237150,"journal":{"name":"Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings","volume":"186 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133383192","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}
{"title":"Visual aided speech interface to reduce driver distraction","authors":"Guiyoung Kim, Y. Ji","doi":"10.1145/3349263.3351912","DOIUrl":"https://doi.org/10.1145/3349263.3351912","url":null,"abstract":"Speech interfaces are increasingly finding their way in many different forms and used in a varied environment. It is also frequently used in the context of driving. The speech interface may advantage driving performance but it can also be distracting. To overcome the weakness of the speech interface, the present study aimed at finding the adequate 1) speech output (granularity of speech, clustering method) and 2) speech-aided visualization output (length of speech, voice pairing motion) in reducing cognitive load while driving.","PeriodicalId":237150,"journal":{"name":"Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115678202","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}