Browsing by Author "Pfleging, B."

Now showing 1 - 7 of 7
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    1st Workshop on Ethically Inspired User Interfaces for Automated Driving
    Riener, Andreas; Jeon, Myounghoon; Alvarez, Ignacio; Pfleging, Bastian; Mirnig, Alexander; Tscheligi, Manfred; Chuang, Lewis (ACM, 2016-01-01)
    On July 1st 2016, the first automated vehicle fatality became headline news [9] and caused a nationwide wave of concern. Now we have at least one situation in which a controlled automated vehicle system failed to detect a life threatening situation. The question still remains: How can an autonomous system make ethical decisions that involve human lives? Control negotiation strategies require prior encoding of ethical conventions into decision making algorithms, which is not at all an easy task - especially considering that actually coming up with ethically sound decision strategies in the first place is often very difficult, even for human agents. This workshop seeks to provide a forum for experts across different backgrounds to voice and formalize the ethical aspects of automotive user interfaces in the context of automated driving. The goal is to derive working principles that will guide shared decision-making between human drivers and their automated vehicles.
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    Development Tool for Rapid Evaluation of Eyes-free In-vehicle Gesture Controls
    Sterkenburg, Jason; Landry, Steven; Johnson, Joshua; Jeon, Myounghoon (ACM, 2016-01-01)
    In-vehicle controls, such as navigation systems, radio dials, and climate controls, can be visually demanding and can increase crash risk. We are attempting to use commercially available gesture detection equipment to develop an eyes-free system that can provide access to the same controls without increasing crash risk. We envision a system that can be controlled by intuitive inair gestures. Information about system status and gesture detection can be provided through an auditory menu display, rather than the visual modality as in touchscreen controls. Here, we describe our motivation to develop the system and describe a tool we have developed to help researchers, even those without programming experience, to configure multiple system designs for rapid usability evaluation and iteration practices.
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    The Effects of Various Music on Angry Drivers' Subjective, Behavioral, and Physiological States
    FakhrHosseini, Maryam; Jeon, Myounghoon (ACM, 2016)
    Emotions influence the way drivers process and react to internal or environmental factors. Specifically, anger is a serious threat on the road. While driving, a majority of drivers listen to music, which is quite an emotional stimulus. In this study, we investigated the effects of various types of music (happy, sad, and self-selected music) on angry drivers in a simulated driving. Sixtyone participants were randomly assigned in five groups: Angry drivers who drove with self-selected music, angry drivers with happy music, angry drivers with sad music, angry drivers without music, and neutral drivers without music as a baseline. Three levels of outcomes (subjective, behavioral and physiological data) were analyzed. Emotion induction was successful, but no specific emotional music significantly influenced their subjective affect ratings. Angry drivers with self-selected music showed more aggressive driving behavior. Sad music increased drivers' heart rate more. Implications are discussed with emotion intervention systems.
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    Listen to Your Drive: An In-Vehicle Sonification Prototyping Tool for Driver State and Performance Data
    Landry, Steven; FakhrHosseini, Maryam; Jeon, Myounghoon; Tascarella, David (ACM, 2016-01-01)
    Automotive UI designers are searching for alternative avenues for delivering information to the driver that complement the mostly visual task of driving. Auditory channels provide the flexibility to display a wide variety of information to the driver without increasing the workload of driving task. It is important to identify types of auditory displays and sonification strategies that provide integral information necessary for the driving task, and not overload the driver with unnecessary or intrusive data. To this end, we have developed an in-vehicle interactive sonification system using the medium-fidelity simulator and neurophysiological devices. The system is intended to integrate driving performance data and driver affective state data in real-Time. The present paper introduces the architecture of our in-vehicle interactive sonification system and potential sonification strategies for providing feedback to the driver in an intuitive and nonintrusive manner.
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    Towards Life-Long Mobility: Accessible Transportation with Automation
    Jeon, Myounghoon; Sutter, Christine; Politis, Ioannis; Terken, Jacques MB B.; Shladover, Steven E.; Poppinga, Benjamin (ACM, 2016-01-01)
    Despite the prevalent discussions on automated vehicles, little research has been conducted with a focus on inclusiveness of traditionally excluded populations from driving. Even though we may envision a future where everyone can drive with perfect automation, the problem will not be that simple. As with any other problem domains, we need to scrutinize all the design considerations - not only each population's characteristics (capabilities and limitations), but also the entire system, technological limitations, and task environments. To this end, the present paper explores challenges and opportunities of automated vehicles for multiple populations, including people with various difficulties/disabilities, older adults, and children. This paper brings up some controversial points and is expected to promote lively discussions at the conference.
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    Tutorial on In-vehicle Auditory Interactions: Design and Application of Auditory Displays, Speech, Sonification, & Music
    Jeon, Myounghoon; Hosseini, Seyedeh M. Fakhr; Landry, Steven; Sterkenburg, Jason (ACM, 2016)
    This tutorial presents an overview of the in-vehicle auditory interactions, including theoretical background, design considerations, and practical design procedure and guidelines based on the authors' experience in sound design and automotive user interface design, and the Mind Music Machine Lab's research on both topics. The tutorial will be composed of four sessions: Auditory menu navigation, speech interactions, music & sonification, and sonic branding. Particularly, in each session hands-on activities will be conducted first and then, a short lecture on the topic will be followed. This tutorial aims to inspire practitioners as well as researchers to appropriately apply auditory displays and sonification to in-vehicle technologies, and thus, facilitate necessary multi-Tasking processes in automotive user interfaces.
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    Workshop on designing highly automated driving systems as radical innovation
    Frison, A. K.; Riener, A.; Jeon, Myounghoon; Pfleging, B.; Alvarez, I. (ACM, 2018-09-23)
    Automated driving systems (ADS), especially in higher levels of automation, seem to be the new focus of innovation regarding future mobility. Technological achievements of traveling automation open up new challenges for road traffic. Existing automotive research focuses on problem solving and observational approaches including users and their imagination of the future of mobility to analyze acceptance and user experience of "incremental" (step-wised improved) innovations. On the other hand, "radical" (something new, enabled by technology or meaning change) innovations extensively increase product quality leaping over incremental innovation. This workshop aims to challenge the current research approaches to automated driving against "trying to improve sitting in a horse carriage" and discuss how we can design "radical" innovations for ADS beyond the "horse carriage". Within this interactive workshop, we will utilize a design thinking approach to refocus on underlying problems that ADSs originally aim to solve and generate ideas for radical innovations.