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Auflistung nach Autor:in "Riener, Andreas"

1 - 10 von 45
  • Workshopbeitrag
    1st Workshop on “User Experience for Sustainability in the Age of Automated Driving and Electromobility”
    (Mensch und Computer 2021 - Workshopband, 2021) Holzhammer, Uwe; Lenz, Maximilian Josef; Riener, Andreas; Schweizer, Manuel; Tutunaru, Robin
    Automation and electromobility are disruptive technologies within the automotive industry at the beginning of the second decade of the 21st century. Both technologies combined are inherent in high potential to lower fuel/energy consumption and increase overall efficiency and thus sustainability in the transportation sector. However, the acceptance of fuel-saving driving modes and of electrified drivetrains is of fundamental importance. Therefor Automotive HMIs offer the possibility to inform the passengers about the environmental impact of their driving behavior or habits of use and enable to persuade towards a more sustainable lifestyle. This workshop is designed for UX researchers, students and interested citizens that want to participate in a discourse and design process for future automotive UIs. Using brainstorming methods combined with clustering of the ideas we will find out which information provided at which time is adequate to cause a change of behaviour which then diminishes the environmental impact of driving.
  • Konferenzbeitrag
    4. Workshop Automotive HMI
    (Mensch und Computer 2015 – Workshopband, 2015) Geisler, Stefan; Laack, Alexander van; Wolter, Stefan; Riener, Andreas; Pfleging, Bastian
  • Konferenzbeitrag
    6th Workshop “Automotive HMI”: Cars in the Transition from Manual to Automated Driving
    (Mensch und Computer 2017 - Workshopband, 2017) Riener, Andreas; Pfleging, Bastian; Geisler, Stefan; Laack, Alexander van; Wintersberger, Philipp
    Automotive user interfaces and, in particular, automated vehicle technology pose a plenty of challenges to researchers, vehicle manufacturers, and third-party suppliers to support all diverse facets of user needs. To give an example, they emerge from the variation of different user groups ranging from inexperienced, thrill-seeking young novice drivers to elderly drivers with all their natural limitations. To allow assessing the quality of automotive user interfaces and automated driving technology already during development and within virtual test processes, the proposed workshop is dedicated to the quest of finding objective, quantifiable quality criteria for describing future driving experiences. The workshop is intended for HCI, AutomotiveUI, and "Human Factors" researchers and practitioners as well for designers and developers. In adherence to the conference main topic "Spielend einfach interagieren" this workshop calls in particular for contributions in the in the area of human factors and ergonomics (user acceptance, trust, user experience, driving fun, natural user interfaces etc.) and artificial intelligence (predictive HMIs, adaptive systems, intuitive interaction).
  • Konferenzbeitrag
    7th Workshop "Automotive HMI”: Safety meets User Experience (UX)
    (Mensch und Computer 2018 - Workshopband, 2018) Riener, Andreas; Geisler, Stefan; van Laack, Alexander; Frison, Anna-Katharina; Detjen, Henrik; Pfleging, Bastian
    Automotive user interfaces and automated vehicle technology pose numerous challenges to support all diverse facets of user needs. These range from inexperienced, thrill-seeking, young novice drivers to elderly drivers with a mostly opposite set of preferences together with their natural limitations. To allow assessing the (hedonic) quality of automotive user interfaces and automated driving technology (i. e., UX) already during development, the proposed workshop is dedicated to the quest of finding objective, quantifiable criteria to describe future driving experiences. The workshop is intended for HCI, AutomotiveUI, and “Human Factors” researchers and practitioners as well for designers and developers. In adherence to the conference main topic “Interaktion – Verbindet – Alle”, this workshop calls in particular for contributions in the in the areas of human factors and ergonomics (user acceptance, trust, user experience, driving fun, natural user interfaces, etc.) with focus on hedonic quality and design of user experience to enhance the safety feeling in ADS.
  • Workshopbeitrag
    8th Workshop Automotive HMIs: UI Research in the Age of New Digital Realities
    (Mensch und Computer 2019 - Workshopband, 2019) Riener, Andreas; Geisler, Stefan; Pfleging, Bastian; von Sawitzky, Tamara; Detjen, Henrik
    Even though many aspects of automated driving have not yet become reality, many human factors issues have already been investigated. However, recent discussions revealed common misconceptions in both research and society about vehicle automation and the levels of automation levels. This might be due to the fact that automated driving functions are misnamed (cf. Autopilot) and that vehicles integrate functions at different automation levels (L1 lane keeping assistant, L2/L3 traffic jam assist, L4 valet parking). The user interface is one of the most critical issues in the interaction between humans and vehicles – and diverging mental models might be a major challenge here. Today’s (manual) vehicles are ill-suited for appropriate HMI testing for automated vehicles. Instead, virtual or mixed reality might be a much better playground to test new interaction concepts in an automated driving setting. In this workshop – motivated by the conference theme – we will look into the potential of new digital realities for concepts, visualizations, and experiments in the car, e. g., by replacing all the windows with displays or transferring the entire environment into a VR world. We are further interested in discussing novel forms of interaction (speech, gestures, gaze-based interaction) and information displays to support the driver/passenger.
  • Workshopbeitrag
    9thWorkshop Automotive HMIs: Natural and Adaptive UIs to Support Future Vehicles
    (Mensch und Computer 2021 - Workshopband, 2021) Riener, Andreas; Pfleging, Bastian; Detjen, Henrik; Braun, Michael; Peintner, Jakob
    Modern vehicles allow control by the driver with multimodal user interfaces (UIs), touch interaction on screens, speech input, and mid-air gestures. Such UIs are driver-focused and optimized for limited distraction to not compromise road safety in manual driving. Nevertheless, they are often complex and it might be difficult to find specific features. Automated driving in L3+ will disrupt the design of automotive UIs as drivers become passengers, at least for certain parts along the way. Similarly, the car is being transformed into a social space where passengers can be granted control over systems because they can devote their full attention without imposing safety risks. The complexity of advanced driver assistance, in-vehicle information and interaction systems requires explanation to the user, e.g., in which state the system is, interaction possibilities, expectations from the driver or take over timing. We expect novel technologies to allow for natural interaction and adaptivity to design valuable and future-proof interaction concepts for the changing interior of (automated) vehicles. The goal of this workshop is, thus, to discuss how natural and adaptive user interfaces can help to solve the mentioned challenges and to identify opportunities for future research and collaboration.
  • Workshopbeitrag
    Accessible Automated Automotive Workshop Series (A3WS): Focus External Human-Machine Interfaces (eHMIs)
    (Mensch und Computer 2022 - Workshopband, 2022) Haimerl, Mathias; Colley, Mark; Löcken, Andreas; Riener, Andreas
    With modernizing traffic, a rise of automated vehicles (AVs) is expected. As AVs potentially need to communicate their intentions, external human-machine interfaces (eHMIs) seem to be an appropriate solution. While automotive research progresses quickly, people with special needs (PSN) are vastly underrepresented. With an aging population due to demographic changes and advances in medical treatments and with the stride towards equality and accessibility, the needs of these groups also have to be considered in the automotive domain. We provide an inclusive platform for interdisciplinary exchange on current and future topics, especially for academia, industry, and politics. This enables different perspectives with particular (but not exclusive) regard to user experience (UX) and psychology, product design, legislative concerns and, thus, support the communication and potentially founding of new topic streams. The aim is to create new interdisciplinary networks and collaborations to make future developments on vehicle-to-human (V2H) communication more inclusive.
  • 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).
  • Konferenzbeitrag
    Age- and Gender-Related Studies on Senses of Perception for Human-Vehicle-Interaction
    (Workshop Proceedings der Tagungen Mensch & Computer 2008, DeLFI 2008 und Cognitive Design 2008, 2008) Riener, Andreas
    Excess workload in vehicle control and inappropriateness of the common two interaction modalities vision (due to dazzling sunlight or chang- ing lighting conditions) and sound (affected by background noise or superpo- sition of voice from cell phone calls or conversations with passengers) requires to consider ways and means for new interaction capabilities in vehicles. We have investigated haptic force displays for transmitting feedback from vehic- ular services to the driving person with vibro-tactile elements, integrated into the car seat and backrest. A haptic display would be implicit perceivable, is passive in its attentiveness, and displays private messages (this means, that it is impossible for other persons to receive these informations). Empirical studies regarding reaction times for the different modalities vi- sion, sound, and touch, as well as age- and gender-dependent evaluations have been conducted, with the aim to identify general conditions for a all-purpose vehicle interaction system and to justify the usage of haptic feedback. Exper- imental data have been acquired in a simulated driving environment in order to guarantee safety for test persons, repeatability of the experiment itself, and similar conditions for each test run.