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Auflistung nach Autor:in "Faltaous, Sarah"

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  • Zeitschriftenartikel
    GeniePutt: Augmenting human motor skills through electrical muscle stimulation
    (it - Information Technology: Vol. 63, No. 3, 2021) Faltaous, Sarah; Abdulmaksoud, Aya; Kempe, Markus; Alt, Florian; Schneegass, Stefan
    Motor skills are omnipresent in our daily lives. Humans seek to learn new skills or improve existing ones. In this work, we explore how the actuation of the human body can be used to augment motor skills. We present GeniePutt, which augments the human performance via electrical muscle stimulation (EMS). We conducted a user study in which we controlled the turning angle of the wrist through GeniePutt to increase participants’ accuracy in a mini-golf scenario. Our results indicate that the best accuracy can be achieved when human capabilities are combined with augmentation performed through EMS.
  • Konferenzbeitrag
    Give Weight to VR: Manipulating Users’ Perception of Weight in Virtual Reality with Electric Muscle Stimulation
    (Mensch und Computer 2022 - Tagungsband, 2022) Faltaous, Sarah; Prochazka, Marvin; Auda, Jonas; Keppel, Jonas; Wittig, Nick; Gruenefeld, Uwe; Schneegass, Stefan
    Virtual Reality (VR) devices empower users to experience virtual worlds through rich visual and auditory sensations. However, believable haptic feedback that communicates the physical properties of virtual objects, such as their weight, is still unsolved in VR. The current trend towards hand tracking-based interactions, neglecting the typical controllers, further amplifies this problem. Hence, in this work, we investigate the combination of passive haptics and electric muscle stimulation to manipulate users’ perception of weight, and thus, simulate objects with different weights. In a laboratory user study, we investigate four differing electrode placements, stimulating different muscles, to determine which muscle results in the most potent perception of weight with the highest comfort. We found that actuating the biceps brachii or the triceps brachii muscles increased the weight perception of the users. Our findings lay the foundation for future investigations on weight perception in VR.
  • Konferenzbeitrag
    Lessons Learnt from Using Electrical Muscle Stimulation to Actuate Agonist and Antagonist Muscle Pairs
    (Mensch und Computer 2022 - Tagungsband, 2022) Faltaous, Sarah; Vogel, Justin; Giesler, Marco; Schneegass, Stefan
    Electrical muscle stimulation is widely explored in human-computer interaction. While most of the studies focus on the possible applications, others are directed towards the actuated movement accuracy. Extending the latter, we tested 9 different signal designs that combine the actuation of the muscle with the actuation of its antagonist. Our results indicate that the movement is not consistent when combining two opposing actuations although single muscles can be actuated consistently. Based on our obtained results, we distill design recommendations.
  • Konferenzbeitrag
    Towards a Universal Human-Computer Interaction Model for Multimodal Interactions
    (Mensch und Computer 2021 - Tagungsband, 2021) Faltaous, Sarah; Gruenefeld, Uwe; Schneegass, Stefan
    Models in HCI describe and provide insights into how humans use interactive technology. They are used by engineers, designers, and developers to understand and formalize the interaction process. At the same time, novel interaction paradigms arise constantly introducing new ways of how interactive technology can support humans. In this work, we look into how these paradigms can be described using the classical HCI model introduced by Schomaker in 1995. We extend this model by presenting new relations that would provide a better understanding of them. For this, we revisit the existing interaction paradigms and try to describe their interaction using this model. The goal of this work is to highlight the need to adapt the models to newinteraction paradigms and spark discussion in the HCI community on this topic.
  • Konferenzbeitrag
    User Preferences of Voice Controlled Smart Light Systems
    (Mensch und Computer 2019 - Tagungsband, 2019) Faltaous, Sarah; El Jaki, Salma; Schneegass, Stefan
    The use of smart home devices is widely spreading. Several ways exist to control such devices. Besides classical approaches such as buttons and remote controls, voice user interfaces (VUIs) are showcased as a primary input method in the context of smart home. Yet, few studies investigated the user’s behaviour and experience with such newly offered input techniques. In this research, we carried out a field study to investigate the user preferences in using a VUIs for controlling a smart lighting system. The results indicate that the usage frequency drops after the first days and that users tend to use the system mainly once in the evening.
  • Konferenzbeitrag
    User-Defined Voice and Mid-Air Gesture Commands for Maneuver-based Interventions in Automated Vehicles
    (Mensch und Computer 2019 - Tagungsband, 2019) Detjen, Henrik; Faltaous, Sarah; Geisler, Stefan; Schneegass, Stefan
    For highly automated vehicles (AVs), new interaction concepts need to be developed. Even in AVs, the driver might want to intervene and override the automation from time to time. To create the possibility of control, we explore vehicle control through maneuver-based interventions. Thereby, we focus on explicit, contact-less interaction, which could be beneficial in future AV designs, where the driver is not necessarily bound to classical controls. We propose a set of freehand gestures and keywords for voice control derived in a user-centered design process. Further, we discuss properties, applicability and user impressions of both interaction modalities. Voice control seems to be an efficient way to select a maneuver and free-hand gestures could be used, if voice channel is blocked, e.g., through conversation with passengers.
  • Zeitschriftenartikel
    VPID: Towards Vein Pattern Identification Using Thermal Imaging
    (i-com: Vol. 18, No. 3, 2019) Faltaous, Sarah; Liebers, Jonathan; Abdelrahman, Yomna; Alt, Florian; Schneegass, Stefan
    Biometric authentication received considerable attention lately. The vein pattern on the back of the hand is a unique biometric that can be measured through thermal imaging. Detecting this pattern provides an implicit approach that can authenticate users while interacting. In this paper, we present the Vein-Identification system, called VPID. It consists of a vein pattern recognition pipeline and an authentication part. We implemented six different vein-based authentication approaches by combining thermal imaging and computer vision algorithms. Through a study, we show that the approaches achieve a low false-acceptance rate (“FAR”) and a low false-rejection rate (“FRR”). Our findings show that the best approach is the Hausdorff distance-difference applied in combination with a Convolutional Neural Networks (CNN) classification of stacked images.
  • Konferenzbeitrag
    Wisdom of the IoT Crowd: Envisioning a Smart Home-based Nutritional Intake Monitoring System
    (Mensch und Computer 2021 - Tagungsband, 2021) Faltaous, Sarah; Janzon, Simon; Heger, Roman; Strauss, Marvin; Golkar, Pedram; Viefhaus, Matteo; Prochazka, Marvin; Gruenefeld, Uwe; Schneegass, Stefan
    Obesity and overweight are two factors linked to various health problems that lead to death in the long run. Technological advancements have granted the chance to create smart interventions. These interventions could be operated by the Internet of Things (IoT) that connects different smart home and wearable devices, providing a large pool of data. In this work, we use IoT with different technologies to present an exemplary nutrition monitoring intake system. This system integrates the input from various devices to understand the users’ behavior better and provide recommendations accordingly. Furthermore, we report on a preliminary evaluation through semi-structured interviews with six participants. Their feedback highlights the system’s opportunities and challenges.