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Auflistung nach Schlagwort "automated driving"

1 - 8 von 8
  • Workshopbeitrag
    Adaptive Dark Mode: Investigating Text and Transparency of Windshield Display Content for Automated Driving
    (Mensch und Computer 2019 - Workshopband, 2019) Riegler, Andreas; Riener, Andreas; Holzmann, Clemens
    Windshield displays are a promising technology for automotive application. In combination with the emergence of highly automated vehicles, chances are that work-related activities will become more popular on the daily commute to and from work. While windshield displays can show content relevant for non-driving related activities, little information is available on how potential users would utilize these displays in terms of text and background color as well as transparency usage. In this paper, we present the results of two user studies (pilot study: N = 10, main study: N = 20) addressing this issue. Findings from quantitative measurements and qualitative pre-/post study surveys and interviews suggest a strong preference for the chat window being located on the driver side presented in dark mode with adaptive background transparency levels based on the luminance of the outside environment.
  • Konferenzbeitrag
    Age differences in the anticipated acceptance of egoistic versus altruistic crash-control-algorithms in automated vehicles
    (Mensch und Computer 2020 - Tagungsband, 2020) Wischert-Zielke, Moritz; Weigl, Klemens; Steinhauser, Marco; Riener, Andreas
    This paper presents the results of an online questionnaire study (N = 97) which examined participants’ anticipated acceptance of crash-control-algorithms (CCAs, i.e., algorithms aimed at effecting certain ethical accident outcomes). Concerning a self-sacrifice trolley dilemma, participants displayed a specific age-dependent pattern, in which both younger (18 – 44 years) and older (65+ years) participants rated their acceptance for egoistic algorithms higher and for altruistic algorithms lower when compared to middle-aged participants (45 – 64 years).
  • Zeitschriftenartikel
    Augmented Reality for Future Mobility: Insights from a Literature Review and HCI Workshop
    (i-com: Vol. 20, No. 3, 2021) Riegler, Andreas; Riener, Andreas; Holzmann, Clemens
    There is a growing body of research in the field of interaction between drivers/passengers and automated vehicles using augmented reality (AR) technology. Furthering the advancements and availability of AR, the number of use cases in and around vehicles rises. Our literature review reveals that in the past, AR research focussed on increasing road safety and displaying navigational aids, however, more recent research explores the support of immersive (non-)driving related activities, and finally enhance driving and passenger experiences, as well as assist other road users through external human-machine interfaces (HMIs). AR may also be the enabling technology to increase trust and acceptance in automated vehicles through explainable artificial intelligence (AI), and therefore help on the shift from manual to automated driving. We organized a workshop addressing AR in automotive human-computer interaction (HCI) design, and identified a number of challenges including human factors issues that need to be tackled, as well as opportunities and practical usages of AR in future mobility. We believe that our status-quo literature analysis and future-oriented workshop results can serve as a research agenda for user interface designers and researchers when developing automotive AR interfaces.
  • Zeitschriftenartikel
    Augmented Reality Windshield Displays and Their Potential to Enhance User Experience in Automated Driving
    (i-com: Vol. 18, No. 2, 2019) Riegler, Andreas; Wintersberger, Philipp; Riener, Andreas; Holzmann, Clemens
    Increasing vehicle automation presents challenges as drivers of highly automated vehicles become more disengaged from the primary driving task. However, even with fully automated driving, there will still be activities that require interfaces for vehicle-passenger interactions. Windshield displays are a technology with a promising potential for automated driving, as they are able to provide large content areas supporting drivers in non-driving related activities. However, it is still unknown how potential drivers or passengers would use these displays. This work addresses user preferences for windshield displays in automated driving. Participants of a user study (N=63) were presented two levels of automation (conditional and full), and could freely choose preferred positions, content types, as well as size, transparency levels and importance levels of content windows using a simulated “ideal” windshield display. We visualized the results in form of heatmap data which show that user preferences differ with respect to the level of automation, age, gender, or environment aspects. These insights can help designers of interiors and in-vehicle applications to provide a rich user experience in highly automated vehicles.
  • Konferenzbeitrag
    Autonomous Driving: A Dream on Rails?
    (Mensch und Computer 2017 - Workshopband, 2017) Mirnig, Alexander; Meschtscherkjakov, Alexander; Gärtner, Magdalena
    This position paper argues for a consistent vision regarding the implementation of autonomous driving in a fully automated traffic system. More specifically, it highlights differences in expectations regarding flexibility of individual traffic versus a fully autonomous and interconnected transportation system that is almost completely detached from the driver. The paper argues for a common vision, which could address some of the proverbial “elephants in the room” sooner rather than later.
  • Konferenzbeitrag
    The (Mobile) Driving Experience Lab: Bridging Research and Knowledge Transfer to the General Public
    (Mensch und Computer 2021 - Tagungsband, 2021) Schartmüller, Clemens; Riener, Andreas; Pfeilschifter, Claus; Hegner, Franziska
    In interdisciplinary human-computer interaction (HCI) research, user studies are essential. Due to easy attainability, flexible schedules, etc., these studies are primarily conducted with students. Depending on the application, however, this often does not yield results that are representative of the respective target group(s). Getting these to the, e.g., driving simulator is tedious, time-consuming, and costly. To address this issue, we have integrated a driving simulator mockup into a trailer to bring the lab directly to the target groups. It allows researchers to diversify their samples for research studies. In addition, the lab can also be used for a broad knowledge transfer to society.We hypothesize that academics and practitioners will benefit from having easy access to the general public as well as specific target groups by reducing the barrier to study participation. In this paper, we outline the development steps for this lab, present its core features, and discuss potential applications.
  • Konferenzbeitrag
    Moral Behavior of Automated Vehicles: The Impact on Product Perception
    (Mensch und Computer 2018 - Workshopband, 2018) Frison, Anna Katharina; Wintersberger, Philipp; Riener, Andreas; Schartmüller, Clemens
    With further development of automation, more responsibilities will be transferred from users to technology. Consequently, algorithms of highly automated vehicles should be programmed to behave similarly to the affect- and intuition-based reasoning of human drivers. This includes making decisions in various exceptional circumstances, such as moral dilemmas. We assume that the perceived quality of a holistic driving experience is dependent on the accordance of vehicles’ moral and ethical decisions with users’ expectations concerning values and attitudes. In this work, we discuss implementation strategies for moral behavior in automated driving systems in order to fulfill users’ needs and match their values. The reported findings are based on data from an online survey (n=330). We investigated how subjects assess moral decisions and the overall product experience. Initial results show tendencies among subjects in accepting a decision over life and death and significant dependencies concerning the overall product perception.
  • Zeitschriftenartikel
    When does the driver feel ready to drive again after automated driving? – A qualitative approach
    (it - Information Technology: Vol. 63, No. 2, 2021) Scatturin, Lara; Erbach, Rainer; Baumann, Martin
    In automated driving, getting ready to drive after a take-over is one of the most crucial topics. Whereas previous research mainly focuses on behavioral data, little is known about the driver’s experience. In this simulator study, the participants are asked retrospectively when they felt ready to drive again after the take-over. The results suggest that driver availability is a subjectively and situationally influenced concept determined by motoric, temporal, visual, or cognitive factors. Identifying the relevant factors contributes to the development of tailored support during the transition.