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Auflistung nach Autor:in "Schrapel, Maximilian"

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  • Konferenzbeitrag
    Designing Software Transparency: A Multidisciplinary Endeavor
    (Softwaretechnik-Trends Band 40, Heft 1, 2020) Chazette, Larissa; Busch, Melanie; Schrapel, Maximilian; Korte, Kai; Schneider, Kurt
    Software systems support end-users in making daily decisions, thanks to ubiquituous computing. As long as the system behaves in accordance to users’ expectations, the user continues to trust the system. In the case of unexpected software behavior, there is often a lack of transparency and comprehensibility, since the user cannot understand the reason for the resulting behavior. An extensive variety of requirements can be involved when we consider software transparency. These requirements are, most of the times, interrelated in a complex network, influencing each other. In this paper, we explore the opportunities of a multidisciplinary work and the possible challenges in achieving software transparency. We use a navigation scenario to explore the possibilities in terms of a system. The expected result of this joint dialogue is to identify challenges and constraints in the requirements operationalization, in the requirements process itself, and discuss adequate ways to overcome them.
  • Zeitschriftenartikel
    EnvironZen: Immersive Soundscapes via Augmented Footstep Sounds in Urban Areas
    (i-com: Vol. 21, No. 2, 2022) Schrapel, Maximilian; Happe, Janko; Rohs, Michael
    Urban environments are often characterized by loud and annoying sounds. Noise-cancelling headphones can suppress negative influences and superimpose the acoustic environment with audio-augmented realities (AAR). So far, AAR exhibited limited interactivity, e. g., being influenced by the location of the listener. In this paper we explore the superimposition of synchronized, augmented footstep sounds in urban AAR environments with noise-cancelling headphones. In an online survey, participants rated different soundscapes and sound augmentations. This served as a basis for selecting and designing soundscapes and augmentations for a subsequent in-situ field study in an urban environment with 16 participants. We found that the synchronous footstep feedback of our application EnvironZen contributes to creating a relaxing and immersive soundscape. Furthermore, we found that slightly delaying footstep feedback can be used to slow down walking and that particular footstep sounds can serve as intuitive navigation cues.
  • Konferenzbeitrag
    Experiencing Social Robots for Traffic Guidance using Virtual Reality Videos
    (Mensch und Computer 2024 - Workshopband, 2024) Schrapel, Maximilian; Bied, Manuel; Bruno, Barbara; Vinel, Alexey
    Integrating autonomous vehicles and smart infrastructure into urban traffic systems is a crucial component for the development of future cities. Therefore, effective public communication and early citizen involvement is essential to align expectations with the capabilities of novel technology. We propose to use point of view 360-degree videos in Virtual Reality to present potential technologies in early stages to stakeholders, accelerate design processes and to measure physiological responses. We demonstrate our proposed method by the use case of social robots using V2X communication and arm gestures for pedestrian traffic guidance at unsignalized intersections. Initial video recordings with the robot in traffic in a Wizard of Oz setting showed curiosity among pedestrians about the robot's use case.
  • Konferenzbeitrag
    Sign H3re: Symbol and X-Mark Writer Identification Using Audio and Motion Data from a Digital Pen
    (Mensch und Computer 2022 - Tagungsband, 2022) Schrapel, Maximilian; Grannemann, Dennis; Rohs, Michael
    Although in many cases contracts can be made or ended digitally, laws require handwritten signatures in certain cases. Forgeries are a major challenge with digital contracts, as their validity is not always immediately apparent without forensic methods. Illiteracy or disabilities may result in a person being unable to write their full name. In this case x-mark signatures are used, which require a witness for validity. In cases of suspected fraud, the relationship of the witnesses must be questioned, which involves a great amount of effort. In this paper we use audio and motion data from a digital pen to identify users via handwritten symbols. We evaluated the performance our approach for 19 symbols in a study with 30 participants. We found that x-marks offer fewer individual features than other symbols like arrows or circles. By training on three samples and averaging three predictions we reach a mean F1-score of F 1 = 0.87, using statistical and spectral features fed into SVMs