{"title":"Evaluation of driving behavior on highway entries","authors":"David Sauer, Martin Albert, Stephanie Cramer","doi":"10.1145/3349263.3351321","DOIUrl":"https://doi.org/10.1145/3349263.3351321","url":null,"abstract":"Merging onto highways is a demanding driving task with an above average number of accidents. Following the progress of developing automated driving systems, a specific system for this scenario could provide help. Within the scope of a study testing different automated driving behavior variations on the A9 highway, the manually driven highway entries were evaluated. The paper presents the first results derived from the highway entry in Lenting, Germany. The variables describe the participants' driving behavior in terms of cutting corners, velocities, decelerations, and accelerations. The two curves were cut with a maximum distance of 0.58 and 0.72 m from the center line. The velocities before the start of the entry zone were between 40-65 km/h and the mean velocity for the lane change was 76.95 km/h. The maximum lateral acceleration in both curves was around 3 m/s2 and the longitudinal acceleration was approximately between zero and 1.3 m/s2.","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":"133085183","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":"\"Why did this voice agent not understand me?\": error recovery strategy for in-vehicle voice user interface","authors":"Jihyun Kim, Meuel Jeong, S. Lee","doi":"10.1145/3349263.3351513","DOIUrl":"https://doi.org/10.1145/3349263.3351513","url":null,"abstract":"We aimed at investigating the effects of error recovery strategy that could enable the drivers to recover from the non-understanding error when interacting with the in-vehicle voice user interface (VUI). An experiment using a driving simulator was conducted with forty-seven participants who performed driving tasks with the VUI. One of three different error recovery strategies (ask repeat, re-prompt, and you can say) was suggested to recover from the non-understanding errors. A subjective questionnaire and semi-structured interviews were used to collect the participants' workload, perceived reasons for errors, and preference. Results showed participants felt that 'you can say' was more difficult than the 're-prompt' condition. However, preferences of 'ask repeat' and 'you can say' were significantly higher than 're-prompt' because the perceived reason for the non-understanding was 'input error' when the system used the 're-prompt' method. These findings provide insights into the design of the VUI in the context of driving.","PeriodicalId":237150,"journal":{"name":"Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings","volume":"4 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":"134638932","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}
Alexander G. Mirnig, Sandra Trösterer, Alexander Meschtscherjakov, Artur Lupp, M. Tscheligi, T. Engel, F. McGee, Rod McCall, M. Stefas, Joan Baixauli, Francesco Bongiovanni
{"title":"Driving simulator studies at home: promises, potholes, and pitfalls","authors":"Alexander G. Mirnig, Sandra Trösterer, Alexander Meschtscherjakov, Artur Lupp, M. Tscheligi, T. Engel, F. McGee, Rod McCall, M. Stefas, Joan Baixauli, Francesco Bongiovanni","doi":"10.1145/3349263.3351507","DOIUrl":"https://doi.org/10.1145/3349263.3351507","url":null,"abstract":"This paper presents an overview of a driving simulation platform, which is designed to let users to participate in a study over a longer period of time and in their own home. A small scale study of the platform is presented and an overview of the experiences in running such studies is summarised.","PeriodicalId":237150,"journal":{"name":"Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings","volume":"47 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":"114579111","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}
Robin Neuhaus, Matthias Laschke, Dimitra Theofanou-Fülbier, Marc Hassenzahl, Shadan Sadeghian
{"title":"Exploring the impact of transparency on the interaction with an in-car digital AI assistant","authors":"Robin Neuhaus, Matthias Laschke, Dimitra Theofanou-Fülbier, Marc Hassenzahl, Shadan Sadeghian","doi":"10.1145/3349263.3351325","DOIUrl":"https://doi.org/10.1145/3349263.3351325","url":null,"abstract":"Nowadays, intelligent assistants, such as Amazon's Alexa, are widely available. Unsurprisingly, intelligent assistants find their way into cars, in some cases as a major way to interact with the car. We conducted a user enactment exploring the impact of transparency on a possible future user experience with a digital AI assistant in the car. The focus is on whether tasks should be performed in an opaque way, only involving the user when it is necessary, or in a transparent way, always offering the user insights into what is being done and how. We present initial findings indicating a slight preference towards more transparency.","PeriodicalId":237150,"journal":{"name":"Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings","volume":"67 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":"117138993","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":"Designing emotion-aware in-car interactions for unlike markets","authors":"Jingyi Li, Michael Braun, A. Butz, Florian Alt","doi":"10.1145/3349263.3351324","DOIUrl":"https://doi.org/10.1145/3349263.3351324","url":null,"abstract":"Interior cameras and other sensors facilitate affective automotive UIs reacting to the driver's detected emotional state and providing customized support. Previous research mainly presents single prototypes designed in western countries. A comprehensive view of relevant use cases and possible cultural differences between markets, however, is missing. This is particularly important as the significance of emotions is quite different between, e.g., western and eastern cultures. We present use case clusters for affective in-car UIs based on ideation workshops with German and Chinese participants. Our focus lies on the requirements arising from cultural differences, such as more rule-consistent driving in Germany or more important social components in China. Our ideation approach aims to enrich use cases for empathetic vehicles with the user's culture in mind. The use case clusters we present can inspire future concepts for improving user experience through affective interaction and for boosting acceptance by observing cultural peculiarities.","PeriodicalId":237150,"journal":{"name":"Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings","volume":"131 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":"131680977","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}
Hiroaki Kuramochi, A. Utsumi, Tetsushi Ikeda, Y. Kato, Isamu Nagasawa, Kazuhiko Takahashi
{"title":"Effect of human-machine cooperation on driving comfort in highly automated steering maneuvers","authors":"Hiroaki Kuramochi, A. Utsumi, Tetsushi Ikeda, Y. Kato, Isamu Nagasawa, Kazuhiko Takahashi","doi":"10.1145/3349263.3351498","DOIUrl":"https://doi.org/10.1145/3349263.3351498","url":null,"abstract":"Automated driving technology is being developed to reduce driver workloads and improve driving safety. However, how connected drivers feel to the control of their vehicles can be a critical factor in driving comfort. In this paper, we discuss a highly automated and human-machine cooperative steering system. Our prototype system regulates driver's steering maneuvers under supervision by automation and also applies guidance torque for physical interaction between a driver and the automation. To evaluate driving comfort and driver behaviors during the cooperation, experiments were conducted with a driving simulator. The results from 20 participants show that drivers who assertively participated in cooperative steering tended to feel safer and more pleasure than in fully automated-like steering.","PeriodicalId":237150,"journal":{"name":"Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings","volume":"32 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":"127811725","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}
Vanessa Sauer, Alexander Mertens, V. Nitsch, J. Reuschel
{"title":"An empirical investigation of measures for well-being in highly automated vehicles","authors":"Vanessa Sauer, Alexander Mertens, V. Nitsch, J. Reuschel","doi":"10.1145/3349263.3351337","DOIUrl":"https://doi.org/10.1145/3349263.3351337","url":null,"abstract":"The advent of automated driving shifts user behavior in vehicles and calls for user-centric design. One potential user-centric variable to consider is passenger well-being. In certain experimental designs and industry applications self-report measures may not be the optimal type of measurement and objective measures for well-being could give more nuanced results. This study investigates the relationship between subjective self-ratings and objective measures for well-being in the context of highly automated vehicles. A static driving simulator was used to create different vehicle interiors. Participants' (n=20) responses using self-reports and objective measures (i.e. heart rate variability, electrodermal activity, facial expression, body motion) were collected. The results showed significant correlations of self-reports with heart rate variability and body motion. Both measures were able to discriminate between different stimuli, suggesting that they may be suitable objective measures to act as proxy and complement subjective measures for well-being in highly automated vehicles.","PeriodicalId":237150,"journal":{"name":"Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings","volume":"58 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":"126543656","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":"Don't you see them?: towards gaze-based interaction adaptation for driver-vehicle cooperation","authors":"Marcel Walch, David Lehr, Mark Colley, M. Weber","doi":"10.1145/3349263.3351338","DOIUrl":"https://doi.org/10.1145/3349263.3351338","url":null,"abstract":"Highly automated driving evolves steadily and even gradually enters public roads. Nevertheless, there remain driving-related tasks that can be handled more efficiently by humans. Cooperation with the human user on a higher abstraction level of the dynamic driving task has been suggested to overcome operational boundaries. This cooperation includes for example deciding whether pedestrians want to cross the road ahead. We suggest that systems should monitor their users when they have to make such decisions. Moreover, these systems can adapt the interaction to support their users. In particular, they can match gaze direction and objects in their environmental model like vulnerable road users to guide the focus of users towards overlooked objects. We conducted a pilot study to investigate the need and feasibility of this concept. Our preliminary analysis showed that some participants overlooked pedestrians that intended to cross the road which could be prevented with such systems.","PeriodicalId":237150,"journal":{"name":"Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings","volume":"12 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":"125544144","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":"Disappearing textile interface with inherent feedforwards","authors":"Huihui Dong","doi":"10.1145/3349263.3349598","DOIUrl":"https://doi.org/10.1145/3349263.3349598","url":null,"abstract":"Currently, interactive devices can easily disappear into a wide range of physical context due to the development of microcontrollers, sensors and actuators. However, this disappearing interaction scenario may cause confusion to the users regarding where and how to interact with it. Therefore, a research project has been conducted to investigate different inherent feedforwards for this disappearing interaction scenario in textile surfaces. A Tangible User Interface (TUI) for volume adjusting was designed, which can provide both visual and shape-changing feedforwards. This interface can be implemented in ubiquitous soft surfaces, in this demo, a textile-based Human-Machine Interaction (HMI) in the vehicle seat. The textile interface provides a both natural and enjoyable HMI concept. This report describes the theoretical background, prototype, user test and demo setup and contribution.","PeriodicalId":237150,"journal":{"name":"Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings","volume":"49 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":"115035296","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":"Lessons from Oz: design guidelines for automotive conversational user interfaces","authors":"D. Large, G. Burnett, L. Clark","doi":"10.1145/3349263.3351314","DOIUrl":"https://doi.org/10.1145/3349263.3351314","url":null,"abstract":"This paper draws from literature and our experience of conducting Wizard-of-Oz (WoZ) studies using natural language, conversational user interfaces (CUIs) in the automotive domain. These studies have revealed positive effects of using in-vehicle CUIs on issues such as: cognitive demand/workload, passive task-related fatigue, trust, acceptance and environmental engagement. A nascent set of human-centred design guidelines that have emerged is presented. These are based on the analysis of users' behaviour and the positive benefits observed, and aim to make interactions with an in-vehicle agent interlocutor safe, effective, engaging and enjoyable, while conforming with users' expectations. The guidelines can be used to inform the design of future in-vehicle CUIs or applied experimentally using WoZ methodology, and will be evaluated and refined in ongoing work.","PeriodicalId":237150,"journal":{"name":"Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124414815","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}