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Auflistung nach Autor:in "Schultze, Sven"

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  • Workshopbeitrag
    Demystifying Deep Learning: A Learning Application for Beginners to Gain Practical Experience
    (Mensch und Computer 2020 - Workshopband, 2020) Schultze, Sven; Gruenefeld, Uwe; Boll, Susanne
    Deep learning has revolutionized machine learning, enhancing our ability to solve complex computational problems. From image classification to speech recognition, the technology can be beneficial in a broad range of scenarios. However, the barrier to entry is quite high, especially when programming skills are missing. In this paper, we present the development of a learning application for beginners that is easy to use, yet powerful enough to solve practical deep learning problems.We followed the human-centered design approach and conducted a technical evaluation to identify solvable classification problems. In the future, we plan to conduct a user study to evaluate our learning application online.
  • Zeitschriftenartikel
    Demystifying Deep Learning: Developing and Evaluating a User-Centered Learning App for Beginners to Gain Practical Experience
    (i-com: Vol. 19, No. 3, 2021) Schultze, Sven; Gruenefeld, Uwe; Boll, Susanne
    Deep Learning has revolutionized Machine Learning, enhancing our ability to solve complex computational problems. From image classification to speech recognition, the technology can be beneficial in a broad range of scenarios. However, the barrier to entry is quite high, especially when programming skills are missing. In this paper, we present the development of a learning application that is easy to use, yet powerful enough to solve practical Deep Learning problems. We followed the human-centered design approach and conducted a technical evaluation to identify solvable classification problems. Afterwards, we conducted an online user evaluation to gain insights on users’ experience with the app, and to understand positive as well as negative aspects of our implemented concept. Our results show that participants liked using the app and found it useful, especially for beginners. Nonetheless, future iterations of the learning app should step-wise include more features to support advancing users.
  • Workshopbeitrag
    Towards Respectful Smart Glasses through Conversation Detection
    (Mensch und Computer 2018 - Tagungsband, 2018) Meirose, Franziska; Schultze, Sven; Kuehlewind, Sebastian; Koelle, Marion; Abdenebaoui, Larbi; Boll, Susanne
    Talking to each other is personal, maybe even intimate. Thus, privacy expectations are particularly high during interpersonal conversations, and image or audio recordings are problematic in these contexts. In consequence, smart glasses and other body-worn devices with “always-on” cameras are not well accepted during interpersonal conversations. Proposing a simple-to-implement computer vision procedure, we work towards a solution to this issue. Using imagery from a head-worn camera we detect face-to-face conversations in real-time, as well as distinguish between intimate, personal and social conversations based on intrinsic camera parameters. Starting from a fictive scenario, we illustrate how this knowledge can be used for interaction designs that increase both, the users’ as well as their bystanders’ privacy, e.g., by muting audio or disabling the camera. Finally, we suggest directions for future work.