Melanie Berger, Patrick Ebel, Debargha Dey, Aditya Dandekar, Bahareh Barati, Bastian Pfleging, R. Bernhaupt
A main reason of driver distraction is the execution of tertiary driving tasks through an in-vehicle-infotainment system (IVIS). Prior research indicates that input from passengers – especially on tertiary tasks – has the potential to mitigate driver distraction. However, the interplay between driver distraction and driver-passenger collaboration has not been researched in detail. Therefore, we compare five IVIS concepts (single and dual-screen setups) which illustrate different collaborative approaches (Consensual, Token-Ring, Hierarchical, Autocratic, and Anarchic IVIS) with the goal to investigate their effect on drivers’ workload, glance behavior (eyes-off-the-road time) and driving performance (speed, lane position). We found that the most distracting events are when the driver receives pop-up notifications, or when the front-seat passenger interacts with an IVIS screen. Besides that, our insights indicate that despite research-substantiated benefits of dual-screen IVIS setups compared to single-screen ones in terms of collaboration, they have a higher implication on driver distraction and workload.
{"title":"Together Distracted? The Effect of Driver-Passenger Collaboration on Workload, Glance Behavior, and Driving Performance","authors":"Melanie Berger, Patrick Ebel, Debargha Dey, Aditya Dandekar, Bahareh Barati, Bastian Pfleging, R. Bernhaupt","doi":"10.1145/3544999.3552318","DOIUrl":"https://doi.org/10.1145/3544999.3552318","url":null,"abstract":"A main reason of driver distraction is the execution of tertiary driving tasks through an in-vehicle-infotainment system (IVIS). Prior research indicates that input from passengers – especially on tertiary tasks – has the potential to mitigate driver distraction. However, the interplay between driver distraction and driver-passenger collaboration has not been researched in detail. Therefore, we compare five IVIS concepts (single and dual-screen setups) which illustrate different collaborative approaches (Consensual, Token-Ring, Hierarchical, Autocratic, and Anarchic IVIS) with the goal to investigate their effect on drivers’ workload, glance behavior (eyes-off-the-road time) and driving performance (speed, lane position). We found that the most distracting events are when the driver receives pop-up notifications, or when the front-seat passenger interacts with an IVIS screen. Besides that, our insights indicate that despite research-substantiated benefits of dual-screen IVIS setups compared to single-screen ones in terms of collaboration, they have a higher implication on driver distraction and workload.","PeriodicalId":350782,"journal":{"name":"Adjunct Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126729679","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}
Se Hyeon Park, S. Lee, Manhua Wang, Philipp Hock, M. Baumann, M. Jeon
It is expected that in-vehicle intelligent agents (IVIAs) become an important user interface in automated driving, and much research on how to design IVIAs considering user needs and scenarios has been conducted. The question arising here is whether people want to have one almighty agent connecting to all user's data sources and dealing with all situations, including driving contexts. Another plausible form is multiple specialized agents that play the role only in each task context. As a first step in answering the question, we developed two plausible scenarios of interacting with IVIAs and presented the video. In both scenarios, a user of IVIAs experiences embarrassing situations because of the connectivity of IVIAs. We expect that this effort can be a starting point to understand users’ needs and requirements to develop and design IVIAs in terms of connectivity.
{"title":"What Do You Want for In-Vehicle Agents? One Fits All vs. Multiple Specialized Agents","authors":"Se Hyeon Park, S. Lee, Manhua Wang, Philipp Hock, M. Baumann, M. Jeon","doi":"10.1145/3544999.3550153","DOIUrl":"https://doi.org/10.1145/3544999.3550153","url":null,"abstract":"It is expected that in-vehicle intelligent agents (IVIAs) become an important user interface in automated driving, and much research on how to design IVIAs considering user needs and scenarios has been conducted. The question arising here is whether people want to have one almighty agent connecting to all user's data sources and dealing with all situations, including driving contexts. Another plausible form is multiple specialized agents that play the role only in each task context. As a first step in answering the question, we developed two plausible scenarios of interacting with IVIAs and presented the video. In both scenarios, a user of IVIAs experiences embarrassing situations because of the connectivity of IVIAs. We expect that this effort can be a starting point to understand users’ needs and requirements to develop and design IVIAs in terms of connectivity.","PeriodicalId":350782,"journal":{"name":"Adjunct Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115110576","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}
Kristina Stojmenova, Nayara de Oliveira Faria, R. Schroeter, M. Jeon
International surveys tend to collect data on attitudes, values and behaviors towards a specific topic from users from multiple countries, providing an insight on the differences and similarities across nations, cultures or geo-political structures. Consequently, international surveys provide important information about the diversity of the user's needs, values and preferences, which have to be taken into consideration when creating products and services as widely used as the personal automobile. The workshop will focus on the design and development of an international survey on automotive user interfaces on a global scale. It will try to identify the most important aspects related to automotive user interfaces, which should be addressed in the survey. It will also prepare a strategy for its international distribution and create a plan for comprehensive data collection. Lastly, it will try to outline venues and communication channels for the survey dissemination, with the goal of achieving wide visibility.
{"title":"The 4th Workshop on Localization vs. Internationalization: Creating an International Survey on Automotive User Interfaces","authors":"Kristina Stojmenova, Nayara de Oliveira Faria, R. Schroeter, M. Jeon","doi":"10.1145/3544999.3549911","DOIUrl":"https://doi.org/10.1145/3544999.3549911","url":null,"abstract":"International surveys tend to collect data on attitudes, values and behaviors towards a specific topic from users from multiple countries, providing an insight on the differences and similarities across nations, cultures or geo-political structures. Consequently, international surveys provide important information about the diversity of the user's needs, values and preferences, which have to be taken into consideration when creating products and services as widely used as the personal automobile. The workshop will focus on the design and development of an international survey on automotive user interfaces on a global scale. It will try to identify the most important aspects related to automotive user interfaces, which should be addressed in the survey. It will also prepare a strategy for its international distribution and create a plan for comprehensive data collection. Lastly, it will try to outline venues and communication channels for the survey dissemination, with the goal of achieving wide visibility.","PeriodicalId":350782,"journal":{"name":"Adjunct Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133121224","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}
Abhishek Mukhopadhyay, Shubham Agarwal, Patrick Zwick, P. Biswas
With the increasing prevalence of video recordings there is a growing need for tools that can maintain the privacy of those recorded. In this paper, we define an approach for redacting personally identifiable text from videos using a combination of optical character recognition (OCR) and natural language processing (NLP) techniques. We examine the relative performance of this approach when used with different OCR models, specifically Tesseract and the OCR system from Google Cloud Vision (GCV). For the proposed approach the performance of GCV, in both accuracy and speed, is significantly higher than Tesseract. Finally, we explore the advantages and disadvantages of both models in real-world applications.
{"title":"To Show or Not to Show: Redacting Sensitive Text from Videos of Electronic Displays","authors":"Abhishek Mukhopadhyay, Shubham Agarwal, Patrick Zwick, P. Biswas","doi":"10.1145/3544999.3552529","DOIUrl":"https://doi.org/10.1145/3544999.3552529","url":null,"abstract":"With the increasing prevalence of video recordings there is a growing need for tools that can maintain the privacy of those recorded. In this paper, we define an approach for redacting personally identifiable text from videos using a combination of optical character recognition (OCR) and natural language processing (NLP) techniques. We examine the relative performance of this approach when used with different OCR models, specifically Tesseract and the OCR system from Google Cloud Vision (GCV). For the proposed approach the performance of GCV, in both accuracy and speed, is significantly higher than Tesseract. Finally, we explore the advantages and disadvantages of both models in real-world applications.","PeriodicalId":350782,"journal":{"name":"Adjunct Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122122446","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}
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