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Auflistung nach Autor:in "Titov, Waldemar"

1 - 5 von 5
  • Textdokument
    1st Workshop on Evaluating Intelligent and Ubiquitous Mobility Systems
    (INFORMATIK 2020, 2021) Titov, Waldemar; Trefzger, Mathias; Schlegel, Thomas
    Evaluation of peoples' mobility and intermodal transport is crucial for understanding mobility and traffic in general and leads to new challenges from the perspective of computer science and especially Human-Computer Interaction.
  • Textdokument
    Analysis and Comparison of the Gaze Behavior of E-Scooter Drivers and Cyclists
    (INFORMATIK 2020, 2021) Trefzger, Mathias; Titov, Waldemar; Schlegel, Thomas
    In this paper, we contribute an eye tracking study to evaluate the gaze behavior of e-scooter drivers and cyclists on high and low quality road surfaces. We recorded the surface quality with sensors and put the different surfaces in relation to the gaze behavior. We recorded eye movements of the participants and performed an Area of Interest (AOI) sequence analysis to identify gaze patterns. Found sequences show that on the high quality surface participants focused most commonly the distant road section and then shifted to nearer sections. Individual advantageous gaze sequences are omitted if the surface is poor. We found a significant difference in the attention distribution of the two means of transport. In addition, we can confirm previous results showing that low quality road surfaces cause the gaze to shift forward. However, the participants did not adapt their speed to the worse surface.
  • Workshopbeitrag
    Evaluation of a smart public display in public transport
    (Mensch und Computer 2019 - Workshopband, 2019) Keller, Christine; Titov, Waldemar; Sawilla, Swenja; Schlegel, Thomas
    In this paper, we present the iterative evaluation of a smart public display prototype for public transport. In our research project, we developed a working prototype of a smart and mobile public display. We iteratively evaluated several facets of our prototypes, following a user centered design approach. In this paper, we describe challenges and experiences during the development and evaluation of this smart and mobile public display, as well as the results of our studies so far and we discuss our evaluation steps as best practice examples.
  • Textdokument
    Sensordatenerhebung Komfortbezogener Einflüsse auf den Radverkehr
    (INFORMATIK 2020, 2021) Badde, Lars; Titov, Waldemar; Schlegel, Thomas
    Ziel dieser wissenschaftlichen Arbeit ist es eine objektive Datengrundlage zum Komfort von Fahrradwegen zu schaffen. In nachstehenden Untersuchungen sollen anhand dieser Daten präzise Rückschlüsse zum Komfort auf Teilstrecken gezogen werden können und dem Nutzer individualisiert verfügbar gemacht werden. Zu diesem Zwecke wird zunächst betrachtet welche Faktoren den Komfort von Fahrradstrecken, sowohl positiv als auch negativ, beeinflussen. Anschließend soll ermittelt werden, wie diese Faktoren mit Hilfe einer Sensorapparatur automatisiert erfasst werden können. Aufbau und Programmierung des Sensormoduls, sowie die Konsistenz der erhobenen Daten werden auf Basis eines Feldtestes evaluiert, um deren Tauglichkeit für die Schaffung eines solchen „Fahrrad-Informations-Systems“ zu gewährleisten.
  • Workshop
    Workshop on Generative Artificial Intelligence in Interactive Systems: Experiences from the Community
    (Mensch und Computer 2024 - Workshopband, 2024) Zakreuskaya, Anastasiya; Münch, Tobias; Detjen, Henrik; Mayer, Sven; Elagroudy, Passant; Pfleging, Bastian; Draxler, Fiona; Weyers, Benjamin; Gruenefeld, Uwe; Auda, Jonas; Titov, Waldemar; Mackay, Wendy E.; Buschek, Daniel; Kosch, Thomas
    Generative Artificial Intelligence (GenAI) is establishing itself in academia and industry through accessible implementations like ChatGPT and Stable Diffusion. Subsequently, GenAI is changing the interaction paradigms between users and computers. Currently, many individual approaches exist to leverage these tools, creating various strategies and agendas for using them in HCI research. Thus, we expect this will change how researchers design and create interactive interfaces. This workshop facilitates a common understanding of GenAI concerning HCI in which participants will share and discuss their experiences using GenAI and Large Language Models (LLMs) in HCI research. In this workshop, the potential of GenAI for Human-Computer Interaction will be explored and discussed with the research community through position papers, research statements, and opinions, thereby creating comprehensive practical insights synthesizing collective experience and strategies with real-world examples.