Team:

Sarah Faltaous

Academic Staff

Sarah Faltaous, M.Sc.

Room:
SM 204
Phone:
+49 201183 - 3268
Email:
Address:
Universität Duisburg-Essen
Institut für Informatik und Wirtschaftsinformatik (ICB)
Mensch-Computer Interaktion
Schützenbahn 70
45127 Essen

Bio:

Sarah is a research assistant at the Human-Computer Interaction Group of the University Duisburg-Essen. She received her masters degree in Cognitive Systems from the University of Ulm. She was working as a student trainee at Daimler Research & Development in Ulm and did her Master thesis at the Max Planck Institute in Tübingen.

Publications:

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  • Faltaous, Sarah; Gruenefeld, Uwe; Schneegass, Stefan: Towards a Universal Human-Computer Interaction Model for Multimodal Interactions. In: Proceedings of the Conference on Mensch Und Computer (MuC). Association for Computing Machinery, Ingolstadt, Germany 2021, p. 59-63. doi:10.1145/3473856.3474008CitationDetails

    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 new interaction paradigms and spark discussion in the HCI community on this topic.

  • Faltaous, Sarah; Janzon, Simon; Heger, Roman; Strauss, Marvin; Golkar, Pedram; Viefhaus, Matteo; Prochazka, Marvin; Gruenefeld, Uwe; Schneegass, Stefan: Wisdom of the IoT Crowd: Envisioning a Smart Home-Based Nutritional Intake Monitoring System. In: Proceedings of the Conference on Mensch Und Computer (MuC). Association for Computing Machinery, Ingolstadt, Germany 2021, p. 568-573. doi:10.1145/3473856.3474009CitationDetails

    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.

  • Faltaous, Sarah; Neuwirth, Joshua; Gruenefeld, Uwe; Schneegass, Stefan: SaVR: Increasing Safety in Virtual Reality Environments via Electrical Muscle Stimulation. In: 19th International Conference on Mobile and Ubiquitous Multimedia (MUM). Association for Computing Machinery, Essen, Germany 2020, p. 254-258. doi:10.1145/3428361.3428389CitationDetails

    One of the main benefits of interactive Virtual Reality (VR) applications is that they provide a high sense of immersion. As a result, users lose their sense of real-world space which makes them vulnerable to collisions with real-world objects. In this work, we propose a novel approach to prevent such collisions using Electrical Muscle Stimulation (EMS). EMS actively prevents the movement that would result in a collision by actuating the antagonist muscle. We report on a user study comparing our approach to the commonly used feedback modalities: audio, visual, and vibro-tactile. Our results show that EMS is a promising modality for restraining user movement and, at the same time, rated best in terms of user experience.

  • Safwat, Sherine Ashraf; Bolock, Alia El; Alaa, Mostafa; Faltaous, Sarah; Schneegass, Stefan; Abdennadher, Slim: The Effect of Student-Lecturer Cultural Differences on Engagement in Learning Environments - A Pilot Study. In: Communications in Computer and Information Science. Springer, 2020. doi:10.1007/978-3-030-51999-5\_10CitationDetails
  • Faltaous, Sarah; Schönherr, Chris; Detjen, Henrik; Schneegass, Stefan: Exploring proprioceptive take-over requests for highly automated vehicles. In: MUM '19: Proceedings of the 18th International Conference on Mobile and Ubiquitous Multimedia. ACM, Pisa, Italy 2019. doi:https://doi.org/10.1145/3365610.3365644PDFCitationDetails
    Exploring proprioceptive take-over requests for highly automated vehicles
  • Faltaous, Sarah; Eljaki, Salma; Schneegass, Stefan: User Preferences of Voice Controlled Smart Light Systems. In: MuC'19: Proceedings of Mensch und Computer 2019. ACM, New York, USA 2019. doi:https://doi.org/10.1145/3340764.3344437PDFCitationDetails
    User Preferences of Voice Controlled Smart Light Systems
  • Detjen, Henrik; Faltaous, Sarah; Geisler, Stefan; Schneegass, Stefan: User-Defined Voice and Mid-Air Gesture Commands - for Maneuver-based Interventions in Automated Vehicles. In: MuC'19: Proceedings of Mensch und Computer 2019. ACM, New York, USA 2019. doi: DOI: https://doi.org/10.1145/3340764.3340798 PDFCitationDetails
    User-Defined Voice and Mid-Air Gesture Commands
  • Faltaous, Sarah; Haas, Gabriel; Barrios, Liliana; Seiderer, Andreas; Rauh, Sebastian Felix; Chae, Han Joo; Schneegass, Stefan; Alt, Florian: BrainShare: A Glimpse of Social Interaction for Locked-in Syndrome Patients. In: CHI EA '19: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems. ACM, New York, NY, USA 2019. PDFCitationDetails
    BrainShare: A Glimpse of Social Interaction for Locked-in Syndrome Patients
  • Sarah Faltaous, Jonathan Liebers; Yomna Abdelrahman, Florian Alt; Schneegass, Stefan: VPID: Towards Vein Pattern Identification Using Thermal Imaging. In: i-com (2019) No 18 (3), p. 259-270. doi:10.1515/icom-2019-0009PDFCitationDetails

    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.

  • Faltaous, Sarah; Elbolock, Alia; Talaat, Mostafa; Abdennadher, Slim; Schneegass, Stefan: Virtual Reality for Cultural Competences. In: MUM 2018: Proceedings of the 17th International Conference on Mobile and Ubiquitous Multimedia. ACM, Cairo, Egypt 2018. doi:https://doi.org/10.1145/3282894.3289739PDFCitationDetails
    Virtual Reality for Cultural Competences
  • Elagroudy, Passant; Abdelrahman, Yomna; Faltaous, Sarah; Schneegass, Stefan; Davis, Hilary: Workshop on Amplified and Memorable Food Interactions. In: MUM 2018: Proceedings of the 17th International Conference on Mobile and Ubiquitous Multimedia. ACM, Cairo, Egypt 2018. doi:https://doi.org/10.1145/3282894.3286059PDFCitationDetails
    Workshop on Amplified and Memorable Food Interactions
  • Faltaous, Sarah; Baumann, M.; Schneegass, Stefan; Chuang, Lewis: Design Guidelines for Reliability Communication in Autonomous Vehicles. In: AutomotiveUI '18: Proceedings of the 10th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. ACM, Toronto, Canada 2018. doi:https://doi.org/10.1145/3239060.3239072PDFCitationDetails
    Design Guidelines for Reliability Communication in Autonomous Vehicles
  • Auda, Jonas; Schneegass, Stefan; Faltaous, Sarah: Control, Intervention, or Autonomy? Understanding the Future of SmartHome Interaction. In: Conference on Human Factors in Computing Systems (CHI). ACM, Montreal, Canada 2018. PDFCitationDetails
    Control, Intervention, or Autonomy? Understanding the Future of SmartHome Interaction