Sabine Springer, I. Neumann, Bettina Kämpfe, Tina Morgenstern, J. Krems, Franziska Schmalfuß, Johanna Busch, Oliver Vogel, Alexander Jungmann
{"title":"HMI-testing for (non-) automated vehicles in urban connected mixed traffic: cooperative lane change","authors":"Sabine Springer, I. Neumann, Bettina Kämpfe, Tina Morgenstern, J. Krems, Franziska Schmalfuß, Johanna Busch, Oliver Vogel, Alexander Jungmann","doi":"10.1145/3349263.3351517","DOIUrl":"https://doi.org/10.1145/3349263.3351517","url":null,"abstract":"Lane changing actions in urban traffic can be highly risky. Drivers need to choose gaps in traffic flow adequately and synchronize their driving behavior with directly surrounding vehicles. Especially in urgent cases such as an approaching emergency vehicle, successful and safe lane changes are of high value. Automating vehicles as well as the use of innovative communication technologies could reduce this potential hazard, as advanced vehicles will be able to cooperate and negotiate maneuvers efficiently. Making these processes transparent and comprehensible to the driver is not only inevitable for the acceptance of these innovations, but in consequence also for establishing a safer and more efficient traffic. For this purpose, two different human machine interface (HMI) concepts for users of highly automated connected vehicles as well as for non-automated connected vehicles have been developed and evaluated w.r.t. usability aspects, acceptability and subjective workload.","PeriodicalId":237150,"journal":{"name":"Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings","volume":"70 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":"123431876","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":"Cognitive psychological approach for unraveling the take-over process during automated driving","authors":"Lara Scatturin, Rainer Erbach, M. Baumann","doi":"10.1145/3349263.3351501","DOIUrl":"https://doi.org/10.1145/3349263.3351501","url":null,"abstract":"Automated driving opens up many advantages for the driver. Until fully automated driving, though, the driver is still not completely detached from the actual driving task. Situations in which the driver has to intervene and take over control will be inevitable. These takeover situations are currently well researched. However, there is only limited information about what happens on the cognitive level during the transition from automated to manual driving. Thus, aim is to unravel the cognitive processes during the entire take-over. A cognitive psychological approach is used in order to propose a conceptual framework that may serve as basis for a cognitive model. Such a model allows dynamic predictions and paves the way toward an adaptive user-centered HMI for the take-over situation.","PeriodicalId":237150,"journal":{"name":"Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings","volume":"96 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":"127153914","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":"Modeling the effects of auditory display takeover requests on drivers' behavior in autonomous vehicles","authors":"Sangjin Ko, Yiqi Zhang, M. Jeon","doi":"10.1145/3349263.3351508","DOIUrl":"https://doi.org/10.1145/3349263.3351508","url":null,"abstract":"In semi-autonomous vehicles (SAE level 3) that require driver's engagement in critical situations, it is important to secure reliable control transitions. There have been many studies on investigating appropriate auditory displays for takeover request (TOR) but most of them were empirical experiments. In the present study, we established two computational models using a Queuing Network Model Human Processor (QN-MHP) framework to predict a driver's reaction time to auditory displays for TOR. The reaction time for different sound types were modeled based on the results of subjective questionnaire in empirical studies. Separately, the reaction times for various non-speech sounds were modeled by using acoustical characteristics of sounds and previous empirical studies. It is one of a few attempts modeling the effects of auditory displays for TOR on the reaction time in autonomous driving. The current study will contribute to driving research by allowing us to simulate and predict drivers' behavior.","PeriodicalId":237150,"journal":{"name":"Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings","volume":"63 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":"132098380","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}
Anika Boelhouwer, A. P. V. D. Beukel, M. V. Voort, Brady Michael Kuhl
{"title":"Designing a naturalistic in-car tutor system for the initial use of partially automated cars: taking inspiration from driving instructors","authors":"Anika Boelhouwer, A. P. V. D. Beukel, M. V. Voort, Brady Michael Kuhl","doi":"10.1145/3349263.3351504","DOIUrl":"https://doi.org/10.1145/3349263.3351504","url":null,"abstract":"As commercial cars start to include more automated functions it becomes difficult for drivers to understand how and when to use them safely. While general HMI recommendations for partially automated cars have been made, it is unclear how drivers should be supported during the initial use period. Recommendations for a tutor system that guides drivers in their initial use of partially automated cars are necessary. To gain inspiration for such a tutor system, we examined the existing communication loop of driving instructors and their students. Driving instructors and their students were video recorded during regular driving lessons. The tutoring patterns that were found (i.e. situation and student adaptive feedback, student adaptive tasks, body movements for correcting and requesting actions) during the initial qualitative analysis are discussed. Furthermore, we suggest methods how to implement the tutoring patterns in a tutor system to support drivers in the use partially automated cars.","PeriodicalId":237150,"journal":{"name":"Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings","volume":"78 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":"134239042","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":"1st workshop on user interfaces for heavy vehicles: let's get to work","authors":"Markus Wallmyr, T. Sitompul, L. Chuang","doi":"10.1145/3349263.3350757","DOIUrl":"https://doi.org/10.1145/3349263.3350757","url":null,"abstract":"There are more types of vehicles than the automobile. Many are used for purposes other than transporting passengers or goods. They are often dedicated to enable the user in performing specific manual tasks, in parallel to driving. Such heavy vehicles range from construction vehicles, such as excavators and articulated haulers, to agriculture vehicles, such as tractors and harvesters. They also include speciality vehicles such as lifts and cranes. Recent advances in information technology radically increases their productivity and safety. Moreover, heavy vehicles are increasingly sensor and software-driven, as well as connected and integrated with information systems. This development creates new interaction challenges and research areas. The aim of this workshop is to gather practitioners, researchers, and professionals who wish to explore the potential opportunities, identify research challenges, and innovate in the domain of heavy vehicles.","PeriodicalId":237150,"journal":{"name":"Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings","volume":"35 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":"131773289","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}
Philipp Wintersberger, Remo M. A. van der Heiden, Shadan Sadeghian Borojeni, Michael A. Gerber, P. Green
{"title":"First workshop on attentive and pervasive UI in automated vehicles","authors":"Philipp Wintersberger, Remo M. A. van der Heiden, Shadan Sadeghian Borojeni, Michael A. Gerber, P. Green","doi":"10.1145/3349263.3350764","DOIUrl":"https://doi.org/10.1145/3349263.3350764","url":null,"abstract":"In automated vehicles, drivers will shift their attention between side activities and tasks relevant for vehicle control. As random interruptions lead to performance degradation and are a source of stress/anxiety, use of pervasive attentive user interfaces could mitigate such effects while maintaining comfort and safety. However, in order to develop such interfaces, a more holistic approach to design is needed. This workshop brings researchers and practitioners together to develop a structured research agenda to determine how attentive user interfaces can support the safe engagement in side activities in automated vehicles. After an open discussion will identify the main research questions, groups will model/prototype interactions using a configurable driving simulator provided by the organizers. Results will be published at the workshop website and should lead to scientific publications and collaborations.","PeriodicalId":237150,"journal":{"name":"Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings","volume":"66 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":"128918906","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}
David Lindström, Victor Malmsten-Lundgren, Jonas Andersson, T. Bui, Azra Habibovic, Henrik Clasen, Hugo Drakeskär
{"title":"Designing HMIs for an active safety system on bicycles","authors":"David Lindström, Victor Malmsten-Lundgren, Jonas Andersson, T. Bui, Azra Habibovic, Henrik Clasen, Hugo Drakeskär","doi":"10.1145/3349263.3351495","DOIUrl":"https://doi.org/10.1145/3349263.3351495","url":null,"abstract":"Radar sensors have been used for active safety in cars for many years. An ongoing research project explores how radar sensors and technology common in automotive vehicles can be transferred for use on bicycles. Workshops have been used to generate ideas. A bicycle simulator is planned to be used for test and evaluation. Tests on a test track has been used to simulate high-risk scenarios. This paper describes the design process of this project, with focus on the user interface. High-risk scenarios and requirements are identified, followed by identified design challenges and design activities, including evaluation. Ideas for a dual HMI approach, directed towards the bicyclist and towards surrounding traffic are presented.","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":"128966457","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}
Quentin Meteier, Marine Capallera, Leonardo Angelini, E. Mugellini, Omar Abou Khaled, S. Carrino, Emmanuel de Salis, Stéphane Galland, Susanne CJ Boll
{"title":"Workshop on explainable AI in automated driving: a user-centered interaction approach","authors":"Quentin Meteier, Marine Capallera, Leonardo Angelini, E. Mugellini, Omar Abou Khaled, S. Carrino, Emmanuel de Salis, Stéphane Galland, Susanne CJ Boll","doi":"10.1145/3349263.3350762","DOIUrl":"https://doi.org/10.1145/3349263.3350762","url":null,"abstract":"With the increasing use of automation, users tend to delegate more tasks to the machines. Such complex systems are usually developed with \"black box\" Artificial Intelligence (AI), which makes these systems difficult to understand for the user. This assumption is particularly true in the field of automated driving since the level of automation is constantly increasing via the use of state-of-the-art AI solutions. We believe it is important to investigate the field of Explainable AI (XAI) in the context of automated driving since interpretability and transparency are key factors for increasing trust and security. In this workshop, we aim at gathering researchers and industry practitioners from different fields to brainstorm about XAI with a special focus on human-vehicle interaction. Questions like \"what kind of explanation do we need\", \"which is the best trade-off between performance and explainability\" and \"how granular should the explanations be\" will be addressed in this workshop.","PeriodicalId":237150,"journal":{"name":"Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings","volume":"204 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":"115158537","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}
M. Oehl, K. Ihme, U. Drewitz, Anna-Antonia Pape, S. Cornelsen, Martin Schramm
{"title":"Towards a frustration-aware assistant for increased in-vehicle UX: F-RELACS","authors":"M. Oehl, K. Ihme, U. Drewitz, Anna-Antonia Pape, S. Cornelsen, Martin Schramm","doi":"10.1145/3349263.3351518","DOIUrl":"https://doi.org/10.1145/3349263.3351518","url":null,"abstract":"Frustration has negative effects on user experience (UX) both in manual and automated driving. Therefore, it negatively influences driving performance and system acceptance. To address this, the project F-RELACS (Frustration Real-Time Recognition for an Adaptive In-Car System) aims to demonstrate a frustration-aware assistant called MUsE (My User Experience Improvement System) that is capable of estimating the user's momentary level of frustration and offering tailored support to improve UX. However, up to now little is known about interaction strategies for automotive user interfaces that successfully reduce the user's frustration and improve UX in frustrating driving situations. Here we report the initial results from user focus groups (current status: 2 groups with in total 11 participants) that are conducted to identify suitable interaction strategies to develop a frustration-aware assistant for enhanced in-vehicle UX in a user-centered design process.","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":"125921299","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}
C. Janssen, Remo M. A. van der Heiden, S. F. Donker, J. Kenemans
{"title":"Measuring susceptibility to alerts while encountering mental workload","authors":"C. Janssen, Remo M. A. van der Heiden, S. F. Donker, J. Kenemans","doi":"10.1145/3349263.3351524","DOIUrl":"https://doi.org/10.1145/3349263.3351524","url":null,"abstract":"This work-in-progress reports two studies that test if cognitive load reduces human susceptibility to auditory alerts. Previous studies showed that susceptibility (measured using Event-Related Potentials) is reduced when people perform visual or manual tasks, including in driving settings. We investigate whether a cognitively distracting task, without visual and manual components, also reduces susceptibility. Study one suggests that, outside of a driving context, performance of such a cognitively distracting task reduces susceptibility to auditory alerts compared to baseline without distraction. Study two suggests that susceptibility is also reduced when people perform a cognitively distracting task during automated driving. The results have important implications for semi-automated vehicles. Such vehicles rely on alerts to initiate a take-over of control by the human driver. However, if the human is distracted by another task - be it visual, manual, or cognitive - they might not always detect the alert, as their susceptibility is reduced.","PeriodicalId":237150,"journal":{"name":"Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings","volume":"302 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":"123661143","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}