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Auflistung nach Autor:in "Michahelles, Florian"

1 - 10 von 12
  • Konferenzbeitrag
    Beyond Screen Time: Exploring Smartwatch Interventions for Digital Well-Being
    (Proceedings of Mensch und Computer 2024, 2024) Shahu, Ambika; Pechstein, Fabian; Michahelles, Florian
    In the digital age, technology permeates every aspect of our lives, offering connectivity but also posing risks to our well-being due to overuse. The concept of digital detox" has emerged as a response, with smartphone apps supporting this process, yet the potential of wearable tech like smartwatches is less explored. Our study develops and tests a smartwatch-integrated digital detox aid, aiming to seamlessly blend with tech ecosystems offering a holistic solution. A preliminary mixed method user study (n=6) over two weeks assessed its efficacy in cutting down phone usage and app screen time, alongside monitoring phone interactions and physiological data. Initial results showed a decrease in screen time, which diminished in the second week, suggesting participant resistance and the intervention’s perceived intrusiveness. Despite proving the concept’s feasibility, the need for more user-aligned intervention methods and technical enhancements is clear, pointing to areas for future improvement."
  • Workshopbeitrag
    Bridging the Energy Literacy Gap
    (Mensch und Computer 2024 - Workshopband, 2024) Michahelles, Florian; Kassem, Khaled
    This work presents a prototype, built from multiple hardware components and equipped with a user interface, designed to enhance energy literacy, facilitating better understanding and informed energy decisions that can drive policy changes. We showcase the prototype and discuss its integration into broader energy strategies.
  • Konferenzbeitrag
    Enhancing the Supervision of Out-of-View Robots: A Study on Multimodal Feedback and Monitoring Screens
    (Mensch und Computer 2023 - Tagungsband, 2023) Kassem, Khaled; Shahu, Ambika; Tüchler, Christina; Wintersberger, Philipp; Michahelles, Florian
    Objective: investigating the effect of two support methods (multimodal feedback, monitoring screens, and a combination of both) on human dual-task performance, cognitive workload, and user experience when supervising an out-of-sight autonomous robot. Method: A 2x2 within-group user study was conducted in VR with 26 participants involving a cognitive-cognitive dual-task setting. Participants had to simultaneously solve math problems and supervise the robot. Different support methods were provided: multimodal feedback, a screen showing real-time robot activity, and a combination of both. Objective performance metrics and subjective feedback on cognitive load and user experience were collected using standard questionnaires. Data were statistically analyzed, and thematic analysis was performed on post-study debriefing interviews. Results: The support methods improved overall user experience and positively impacted robot collaboration performance while decreasing math task performance. Cognitive load was unaffected. Multimodal feedback with a monitoring screen was perceived as the most helpful. Conclusion: The results suggest that multimodal feedback can improve user experience and improve supervision, but may partially decrease primary task performance. The findings highlight the importance of examining the effect of support methods in specific situations, depending on task priority.
  • Konferenzbeitrag
    Explicit and implicit ratings for mobile applications
    (INFORMATIK 2010. Service Science – Neue Perspektiven für die Informatik. Band 1, 2010) Girardello, Andrea; Michahelles, Florian
    Today most mobile operating systems provide an application portal (e.g. Android Market, A ppStore) where users can search by ke ywords and e xplicitly rate applications published by third-party developers. In this paper we go be yond this approach and introduce an implicit rating mechanism for Android programs. Our approach, c aptures installation, upd ate, a nd removal e vents, a nd allows to show them a mong us ers. B ased on these m easurements w e cal culate i mplicit ratings. As a result we compare these ratings with explicit ratings from the Android Market. For applications with less than 5,000 downloads implicit ratings provide more information than users explicitly enter on Android Market.
  • Workshopbeitrag
    Exploring Human-robot Interaction by Simulating Robots
    (Mensch und Computer 2022 - Workshopband, 2022) Kassem, Khaled; Michahelles, Florian
    As collaborative robots enter industrial shop floors, logistics, and manufacturing, rapid and flexible evaluation of human-machine interaction has become more important. The availability of consumer headsets for virtual and augmented realities has lowered the barrier of entry for virtual environments. In this paper, we explore the different aspects of using such environments for simulating robots in user studies and present the first findings from our own research work. Finally, we recommend directions for applying and using simulation in human-robot interaction.
  • Konferenzbeitrag
    Human-machine Collaboration on Data Annotation of Images by Semi-automatic Labeling
    (Mensch und Computer 2021 - Tagungsband, 2021) Haider, Tom; Michahelles, Florian
    Deployment of deep neural network architectures in computer vision applications requires labeled images which human workers create in a manual, cumbersome process of drawing bounding boxes and segmentation masks. In this work, we propose an image labeling companion that supports human workers to label images faster and more efficiently. Our data-pipeline utilizes One-Shot, Few-Shot and pre-trained object detection models to provide bounding box suggestions, thereby reducing the required user interactions during labeling to corrective adjustments. The resulting labels are then used to continuously update the underlying suggestion models. Optionally, we apply a refinement step, where an available bounding box is converted into a finer segmentation mask. We evaluate our approach with a group of participants who label images using our tool - both manually and with the system. In all our experiments, the achieved quality is consistently comparable with manually created labels at factor 2 to 6 faster execution times.
  • Konferenzbeitrag
    Push Me: Evaluating Usability and User Experience in Nudge-based Human-Robot Interaction through Embedded Force and Torque Sensors
    (Proceedings of Mensch und Computer 2024, 2024) Kassem, Khaled; Saad, Alia; Pascher, Max; Schett, Martin; Michahelles, Florian
    Robots are expected to be integrated into human workspaces, which makes the development of effective and intuitive interaction crucial. While vision- and speech-based robot interfaces have been well studied, direct physical interaction has been less explored. However, HCI research has shown that direct manipulation interfaces provide more intuitive and satisfying user experiences, compared to other interaction modes. This work examines how built-in force/torque sensors in robots can facilitate direct manipulation through nudge-based interactions. We conducted a user study (N = 23) to compare this haptic approach with traditional touchscreen interfaces, focusing on workload, user experience, and usability. Our results show that haptic interactions are more engaging and intuitive but also more physically demanding compared to touchscreen interaction. These findings have implications for the design of physical human-robot interaction interfaces. Given the benefits of physical interaction highlighted in our study, we recommend that designers incorporate this interaction method for human-robot interaction, especially at close quarters.
  • Workshopbeitrag
    Robots for Public and Social Spaces - Design for Intent Communication, Collaboration and Acceptance
    (Mensch und Computer 2023 - Workshopband, 2023) Häkkilä, Jonna; Kassem, Khaled; Kirjavainen, Emma; Kraus, Johannes; Michahelles, Florian; Müller, Heiko; Pfleging, Bastian; Seyffer, Norman; Trost, Kai Erik
    Intent communication is crucial for human-robot interactions, allowing robots to understand and respond to human intentions and enabling humans to comprehend potentially autonomous robots’ intentions. Social robots have become increasingly popular in various fields, from healthcare to education, due to their ability to interact with humans naturally and intuitively. Enabling seamless communication between robots and humans is a key challenge in developing effective social robots. This workshop explores the intersection of intent communication and user experience in social robotics, with a focus on human-centered human-robot interaction.The workshop aims to bring together researchers, developers, and practitioners from academia and industry to discuss recent advances in intent communication and user experience design in social robotics. Participants can present their research, share experiences, and engage in interactive discussions with other attendees. The workshop provides a forum for collaboration and knowledge exchange to advance the state-of-the-art in social robotics and HRI. This is the second iteration of the RoboX workshop at MuC.
  • Konferenzbeitrag
    TipTopTyping: A Thumb-to-Finger Text Input Method and Character Layout Optimized for Mobile Spatial Computing
    (Proceedings of Mensch und Computer 2024, 2024) Beier, Roman; Wolling, Florian; Hornecker, Eva; Michahelles, Florian
    While text input remains the primary interaction method with most computer applications, it faces diverse challenges with spatial computing devices becoming successively more wearable and mobile. We present TipTopTyping, a novel computer vision-based thumb-to-finger text input method for virtual and augmented reality that uses pinch gestures between thumb and fingertips for easy and more intuitive text entry. With OPTI, we further propose a new character layout specifically designed and optimized for this input modality. The system performance is evaluated in a user study (N = 20) of two mobile scenarios: standing and walking. After only 12 sentences of practice, the participants quickly achieved mean text entry rates of 6.15 and 5.69 words per minute and mean accuracies of 1.27 and 1.43 keystrokes per character while standing and walking, respectively. Furthermore, OPTI not only shows a 4.36 ,% better typing accuracy but also the potential to outperform QWERTY layouts in writing speed with a little more practice.
  • Konferenzbeitrag
    Towards an open product repository using playful crowdsourcing
    (INFORMATIK 2010. Service Science – Neue Perspektiven für die Informatik. Band 1, 2010) Budde, Andreas; Michahelles, Florian
    Despite the ubiquity of barcodes there is no common product repository available today linking product master data to the corresponding barcodes. This paper proposes a social network game (Product Empire) that motivates users to scan barcodes and to enter basic product information, such as product name, brand and category and to upload a picture. A first prototype has been implemented and applied in an initial formative user study with 10 users who have generated 80 product scans with user-generated descriptions in a week time frame. This result shows the potential of generating an open product repository by motivating users with a game approach.