{"id":63,"date":"2019-05-04T00:44:41","date_gmt":"2019-05-03T22:44:41","guid":{"rendered":"https:\/\/ubisys.org\/chi20-workshop-automotive\/?page_id=63"},"modified":"2020-04-27T10:06:04","modified_gmt":"2020-04-27T08:06:04","slug":"accepted-position-papers","status":"publish","type":"page","link":"https:\/\/ubisys.org\/chi20-workshop-automotive\/accepted-position-papers\/","title":{"rendered":"Accepted Position Papers"},"content":{"rendered":"<p><a href=\"https:\/\/www.dropbox.com\/s\/0cegxarxikpp0is\/chi20-ws-automotive_paper_1.pdf?dl=0\" target=\"_blank\" rel=\"attachment noopener wp-att-75 noreferrer\"><strong>Turn Drivers Into Users and Keep Them Out-Of-The-Loop to Save Energy<\/strong><\/a><br \/>\nMarcel Walch, Mark Colley, Philipp Hock, Enrico Rukzio, and Michael Weber<\/p>\n<p><em>Abstract:<\/em> Human drivers do not always drive optimally in the light of energy consumption. In contrast, automated driving allows to implement optimal eco-driving. However, to take full advantage of this, automated driving has to be used as much as possible. We suggest to implement persuasive technologies to avoid that drivers deactivate automated driving. Moreover, driver-vehicle cooperation can be implemented to broaden the operational limits in which automated driving is feasible.<\/p>\n<p><a href=\"https:\/\/www.dropbox.com\/s\/9murb3bxv748d0q\/chi20-ws-automotive_paper_2.pdf?dl=0\" target=\"_blank\" rel=\"attachment noopener wp-att-75 noreferrer\"><strong>Towards Reducing Energy Waste through Usage of External Communication of Autonomous Vehicles<\/strong><\/a><br \/>\nMark Colley, Marcel Walch, and Enrico Rukzio<\/p>\n<p><em>Abstract:<\/em> Automated vehicles can implement strategies to drive with optimized fuel efficiency. Therefore, automated driving is seen as a major advancement in tackling climate change. However, with automated vehicles driving in cities and other areas rife with other road users such as human drivers, pedestrians, or cyclists, there is the potential for \u201cstop-and-go\u201d traffic. This would greatly diminish the possibility of automated vehicles to drive fuel-efficient. We suggest using external communication of automated vehicles to aid in ecological driving by providing clues to other road users to show the intent and therefore ultimately enable smoother traffic.<\/p>\n<p><a href=\"https:\/\/www.dropbox.com\/s\/flrn47aa70746mg\/chi20-ws-automotive_paper_3.pdf?dl=0\" target=\"_blank\" rel=\"attachment noopener wp-att-75 noreferrer\"><strong>Impact of Gender and Driver Behavior on Environmental Perception<\/strong><\/a><br \/>\nKlemens Weigl, Theresa Zimmermann, Judith Roggenkamp, Laura Forster, and Andreas Riener<\/p>\n<p><em>Abstract:<\/em> In recent years, the rising number of environmental disasters has increased global awareness of environmental problems. Particularly, the transport sector is deemed responsible for about 30 percent of all CO2 emissions and other environmental hazards. However, several studies have shown that women are more willing to acknowledge ecological problems, but little is known whether attitudes towards the environment in relation to traffic are influenced by gender and driver behavior. Therefore, we investigated people\u2019s attitudes towards the environment and traffic-related problems and driver behavior (e.g., miles driven per year) separately for women and men. Consequently, we carried out an empirical online questionnaire study with 190 participants (93 women; 96 men; 1 diverse). Our findings serve as a foundation for the workshop discussion on this yet rather unknown interdisciplinary topic on environment and gender as well as driver behavior and road traffic.<\/p>\n<p><a href=\"https:\/\/www.dropbox.com\/s\/nl4r7jvkycgtgku\/chi20-ws-automotive_paper_4.pdf?dl=0\" target=\"_blank\" rel=\"attachment noopener wp-att-75 noreferrer\"><strong>Investigating Spatial Presence in Virtual Reality in Automated Vehicles<\/strong><\/a><br \/>\nNadia Fereydooni and Bruce Walker<\/p>\n<p><em>Abstract:<\/em> Automated vehicles (AV) have the potential to save lives, reduce traffic congestion, and expand mobility, leading to a more sustainable transportation system. They can also enable vehicle occupants to engage in non-driving tasks that are becoming increasingly unrelated to driving. Performing these tasks with engaging and immersive technology such as virtual reality (VR) devices is emerging. As we make these virtual environments (VE) technologically viable, we need to look around the corner and make sure that as the technology\u2019s novelty wears off and it becomes an everyday appliance, we are ready to understand and manage the way it affects us, our behavior, and the way we interact with the environment. Hence, we propose studying user\u2019s special presence, the sensation of being spatially located in the mediated environment, to assist VR developers to create sustainable applications.<\/p>\n<p><a href=\"https:\/\/www.dropbox.com\/s\/8qpijrhkyl5xcj7\/chi20-ws-automotive_paper_5.pdf?dl=0\" target=\"_blank\" rel=\"attachment noopener wp-att-75 noreferrer\"><strong>I Just Have One More Question &#8211; Information Assessment for Eco-Route Planning and Eco Driving<\/strong><\/a><br \/>\nMichael A. Gerber, Sepehr G. Dehkordi, and Ronald Schroeter<\/p>\n<p><em>Abstract:<\/em> Algorithms have been developed to influence a driver\u2019s behaviour in conventional\/manual driving towards more ecofriendly driving or to suggest the most sustainable route through intelligent route planning. These algorithms need to be revised for automated vehicles (AVs) to unlock the opportunity to achieve significant eco-driving improvements, afforded by more information being available (e.g. sensor data about traffic, weather or other road users) and a more accurate target eco-driving behaviour being attainable. In addition, AVs will need to obtain information such as user preferences (e.g. urgency) that used to be implicit while the human driver performed the driving task. This raises two questions to contribute to the workshop: 1) What information has the highest impact for eco-driving and eco-routing and 2) How and when should the user get involved in the decision making process of improving sustainability?<\/p>\n<p><a href=\"https:\/\/www.dropbox.com\/s\/iwspi7jhdbhd4gb\/chi20-ws-automotive_paper_6.pdf?dl=0\" target=\"_blank\" rel=\"attachment noopener wp-att-75 noreferrer\"><strong>Less is More: Climate Change and Automated Vehicles in Urban Areas<\/strong><\/a><br \/>\nKai Holl\u00e4nder and Bastian Pfleging<\/p>\n<p><em>Abstract:<\/em> We present our vision on how to mitigate anthropogenic climate change in the context of (automated) vehicles. We therefore analyze current challenges of privately owned cars and suggest a novel way to assess vehicle sustainability. Furthermore, four considerations indicate how technology, legal regulations and stakeholders in the area of urban mobility could overcome the trade-off between benefits of current traffic and sustainable, climate-friendly future means of transportation. With our ideas we aim to spark discussions within the research community, while acknowledging that they are partially far away from being implemented soon within urban environments.<\/p>\n<p><a href=\"https:\/\/www.dropbox.com\/s\/retauy01gheqyn6\/chi20-ws-automotive_paper_7.pdf?dl=0\" target=\"_blank\" rel=\"attachment noopener wp-att-75 noreferrer\"><strong>Walking the Tightrope: Designing Autonomous Vehicles for Comfort and Sustainability<\/strong><\/a><br \/>\nChristina Pakusch, Paul Bossauer, Johanna Meurer, and Gunnar Stevens<\/p>\n<p><em>Abstract:<\/em> Given current traffic problems, transport-induced air pollution and climate damaging emissions, researchers are investigating potentials of autonomous vehicles (AVs) to contribute to a more sustainable mobility. Some studies, however, indicate that the introduction of AVs may cause rebound effects that could further harm the environment such unintended modal shifts. Currently focusing on user experience design, there is an urgent need for HCI researchers to consider such negative consequences in order to responsibly design sustainable AVs.<\/p>\n<p><a href=\"https:\/\/www.dropbox.com\/s\/7wyjn761q1y3t7y\/chi20-ws-automotive_paper_8.pdf?dl=0\" target=\"_blank\" rel=\"attachment noopener wp-att-75 noreferrer\"><strong>Putting sustainability at the forefront: How can technologies and HCI support environmentally friendly mobility?<\/strong><\/a><br \/>\nSebastian Zepf, Jule Kramer, Stefanie Faas, and Jan-Peter Kr\u00e4mer<\/p>\n<p><em>Abstract:<\/em> Nowadays, the effect of climate change is more present than ever. Changes in consumer behavior are required, especially in the domain of mobility. (Hybrid) electric cars, automated driving systems, car sharing, public transportation or even changing individual driving behavior could potentially lead to a significant improvement in sustainability. However, the change towards those technologies and concepts is a long-term process that moves slowly due to several reasons such as lack of trust in those technologies and the lack of willingness for a change. We believe that latest technologies and HCI can support more sustainable behavior. In particular, (1) gamification can help encourage and establish eco-friendly behavior, (2) emotion recognition can help create systems that can influence driving behavior positively, and (3) communication of automated vehicles\u2019 intent via an external Human-Machine Interface (eHMI) can have a positive impact on traffic flow.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Turn Drivers Into Users and Keep Them Out-Of-The-Loop to Save Energy Marcel Walch, Mark Colley, Philipp Hock, Enrico Rukzio, and Michael Weber Abstract: Human drivers do not always drive optimally in the light of energy consumption. In contrast, automated driving allows to implement optimal eco-driving. However, to take full advantage of this, automated driving has [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":2,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-63","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/ubisys.org\/chi20-workshop-automotive\/wp-json\/wp\/v2\/pages\/63","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ubisys.org\/chi20-workshop-automotive\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/ubisys.org\/chi20-workshop-automotive\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/ubisys.org\/chi20-workshop-automotive\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ubisys.org\/chi20-workshop-automotive\/wp-json\/wp\/v2\/comments?post=63"}],"version-history":[{"count":10,"href":"https:\/\/ubisys.org\/chi20-workshop-automotive\/wp-json\/wp\/v2\/pages\/63\/revisions"}],"predecessor-version":[{"id":166,"href":"https:\/\/ubisys.org\/chi20-workshop-automotive\/wp-json\/wp\/v2\/pages\/63\/revisions\/166"}],"wp:attachment":[{"href":"https:\/\/ubisys.org\/chi20-workshop-automotive\/wp-json\/wp\/v2\/media?parent=63"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}