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Auflistung nach Autor:in "Ohm, Christina"

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  • Zeitschriftenartikel
    Do You Recognize That Building’s Façade?
    (KI - Künstliche Intelligenz: Vol. 27, No. 3, 2013) Ludwig, Bernd; Bienk, Stefan; Kattenbeck, Markus; Müller, Manuel; Ohm, Christina; Einmal, Michael; Glaser, Thomas; Hackl, Markus; Oreskovich, Mark; Schubart, Lea
    With the computational power of modern smartphones constantly increasing, resource intensive applications are becoming feasible to an ever growing extent. In this paper, we report on a research project recently started. Its aim is to develop an application for smartphones that combines pedestrian and public transport navigation including the computation of routes consisting of pedestrian routes and public transport trips and intuitive user guidance at any time of the trip. In particular, we focus on intuitive user guidance based on (LMs) in the surroundings of the user. For this reason, we use collaborative approaches to collect LMs and data about them.
  • Zeitschriftenartikel
    Empirical Evidence for Context-aware Interfaces to Pedestrian Navigation Systems
    (KI - Künstliche Intelligenz: Vol. 28, No. 4, 2014) Ludwig, Bernd; Müller, Manuel; Ohm, Christina
    For geographical mobile search tasks it is rarely sufficient to assist users identifying what location they are currently looking for, e.g. a store, cafe or museum. Often the user needs support in being guided to a retrieved location in a physical space. This means that mobile search is strongly connected with navigation. There is a large body of work indicating that navigating towards points of interest is challenging for many people. In this work we explore how to support best this part of the task by investigating how objects in the physical world—landmarks—can be used in information systems to guide people to their desired location. We present the results of a series of eye tracking studies on the orientation behavior of persons executing indoor navigation tasks. The main finding of the studies is that the contextual relevance and the function of a landmark for completing the task efficiently matters more than the context-free salience of the same landmark. The findings have implications for the design of mobile search systems that support geographical search tasks as they lead to new context-adaptive strategies for navigation systems to explain routes. We provide evidence that even the interface has to adapt its content on the state of the navigation task and the current spatial context in order to provide user- and context-adaptive intuitive interaction.
  • Zeitschriftenartikel
    The path of least resistance
    (KI - Künstliche Intelligenz: Vol. 31, No. 2, 2017) Müller, Manuel; Ohm, Christina; Schwappach, Florin; Ludwig, Bernd
    Several studies show that pedestrians do not simply take the shortest route to their destination. In this paper, we address the question, which other factors influence their route decisions. We present a landmark based pedestrian navigation system that guides users through indoor and outdoor areas and forms the foundation of our research regarding route preferences. To investigate the issue which basic preferences exist, a qualitative pre-study was conducted $$(\mathrm{N} = 21).$$(N=21). In the main study we examined if routes chosen by participants in realistic scenarios deviate from the shortest possible route. With this, we explored if preferences, found in the pre-study, really influence the selection of routes $$(\mathrm{N} = 121).$$(N=121). In the pre-study most participants stated that they want to take the shortest route. In addition to that, it was frequently mentioned that entities along the route, like escalators, elevators, crowded areas, or unsafe areas should be preferred or avoided. The main study revealed that the participants, which were all familiar with the surroundings, take detours in indoor parts compared to the shortest route. Moreover, the participants avoided elevators and routes that lead through cafeterias and lecture halls.