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    Beautiful...but at What Cost? An Examination of Externalities in Geographic Vehicle Routing
    (ACM, 2017) ;
    Johnson, Isaac
    ;
    Henderson, Jessica
    ;
    Perry, Caitlin
    ;
    Schöning, Johannes
    Wissenschaftlicher Artikel
    Band:
    Heft:
      240  92
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    Item-typ:Veröffentlichung,
    Understanding Death by GPS : A Systematic Study of Catastrophic Incidents Associated with Personal Navigation Technologies
    (ACM, 2017) ;
    Yilun, Allen Lin
    ;
    Kuehl, Kate
    ;
    Schöning, Johannes
    ;
    Hecht, Brent
    Catastrophic incidents associated with GPS devices and other personal navigation technologies are sufficiently common that these incidents have been given a colloquial nickname: Death by GPS . While there is a significant body of work on the use of personal navigation technologies in everyday scenarios, no research has examined these technologies roles in catastrophic incidents. In this paper, we seek to address this gap in the literature. Borrowing techniques from public health research and communication studies, we construct a corpus of 158 detailed news reports of unique catastrophic incidents associated with personal navigation technologies. We then identify key themes in these incidents and the roles that navigation technologies played in them, e.g. missing road characteristics data contributed to over 24% of these incidents. With the goal of reducing casualties associated with personal navigation technologies, we outline implications for design and research that emerge from our results, e.g. advancing space usage rule mapping, incorporating weather information in routing, and improving visual and audio instructions in complex situations.
    Konferenzbeitrag
      519  110
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    FoldWatch: Using Origami-Inspired Paper Prototypes to Explore the Extension of Output Space in Smartwatches
    (2018) ;
    Fuchs, Alexandra
    ;
    Sturdee, Miriam
    Smartwatches are highly portable, ubiquitous devices, allowing rich interaction at a small scale. However, the display size can hinder user engagement, limit information display, and presentation style. Most research focuses on exploring ways in which the interaction area of smartwatches can be ex- tended, although this mainly entails simple fold-out displays or additional screens. Conversely, added weight and size can hinder the wearable experience. In response, we took inspiration from origami and explored the design space for new types of lightweight, highly foldable smartwatch, by developing complex paper-prototypes which demonstrate novel ways of extending screen space. We collected data on potential input and output interaction with complex folded smartwatch displays during workshops with expert and non-expert users, discovering application ideas and additional input/output functionality. These insights were used to produce and evaluate a concept video for the FoldWatch prototype.
    Konferenzbeitrag
      261  119
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      77
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    Large Scale Detailed Mapping of Dengue Vector Breeding Sites Using Street View Images
    (2019) ;
    Haddawy, Peter
    ;
    Wettayakorn, Poom
    ;
    Wiratsudakul, Anuwat
    ;
    Schöning, Johannes
    Targeted environmental and ecosystem management remain crucial in control of dengue. But providing detailed environmental information on a large scale to effectively target dengue control efforts remains a challenge. In this paper we present the design and implementation of a pipeline to detect potential dengue vector breeding sites from geotagged images to create highly detailed container density maps at unprecedented scale. We implement the approach using Google Street View images which have the advantage of broad coverage and of being somewhat historical so that the data can be aligned with other types of data for analysis. Containers comprising eight of the most common breeding sites are detected in the images using convolutional neural network transfer learning. Over a test set of images the object recognition algorithm has an accuracy of 0.91 in terms of F-score. Container density counts are generated and displayed on a decision support dashboard. Extensive analyses of the approach is carried out over three provinces in Thailand. Results show that the container density counts agree well with manual container counts, with larval survey data, and with dengue case data. To delineate conditions under which the density counts are indicative of risk, a number of factors affecting agreement with larval survey and dengue case data are analyzed. We conclude that creation of container density maps from geotagged images is a promising approach to providing detailed risk maps at large scale. Ultimately, we intended to include our newly proposed index in the identification of dengue high-risk areas in Thailand.
    Bericht
      350  124
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    Pharos: Improving Navigation Instructions on Smartwatches by Including Global Landmarks
    (ACM, 2017) ;
    Wenig, Nina
    ;
    Wenig, Dirk
    ;
    Ernst, Steffen
    ;
    Malaka, Rainer
    Landmark-based navigation systems have proven benefits re- lative to traditional turn-by-turn systems that use street names and distances. However, one obstacle to the implementation of landmark-based navigation systems is the complex challenge of selecting salient local landmarks at each decision point for each user. In this paper, we present Pharos, a novel system that extends turn-by-turn navigation instructions using a single global landmark (e.g. the Eiffel Tower, the Burj Khalifa, mu- nicipal TV towers) rather than multiple, hard-to-select local landmarks. We first show that our approach is feasible in a large number of cities around the world through the use of computer vision to select global landmarks. We then present the results of a study demonstrating that by including global landmarks in navigation instructions, users navigate more con- fidently and build a more accurate mental map of the navigated area than using turn-by-turn instructions.
    Konferenzbeitrag
      332  161
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    Item-typ:Veröffentlichung,
    Disabled, but at What Cost? An Examination of Wheelchair Routing Algorithms
    (ACM, 2018) ;
    Tannert, Benjamin
    Platforms like Google Maps or Bing Maps are used by a large number of users to find the shortest path to their destinations. While these services mainly focus on supporting drivers and pedestrians, first services exist that support wheelchair users. Routing algorithms for wheelchair users try to avoid obstacles like stairs or bollards and optimize on criteria like surface properties and slope of the route. In this study, we undertake the first controlled examination of wheelchair routing approaches. By analyzing three routing platforms, including two wheelchair routing algorithms and three pedestrian routing algorithms, across fifteen major cities in Germany, our results highlight that the routes for wheelchair users are significantly longer and partially also more complex than those for pedestrians. In addition, we show that today s pedestrian routing algorithms also output very diverse routes.
    Konferenzbeitrag
    Band:
      294  131
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    WatchThru: Expanding Smartwatch Displays with Mid-air Visuals and Wrist-worn Augmented Reality
    (ACM, 2017) ;
    Wenig, Dirk
    ;
    Schöning, Johannes
    ;
    Olwal, Alex
    ;
    Oben, Mathias
    We introduce WatchThru, an interactive method for extended wrist-worn display on commercially-available smartwatches. To address the limited visual and interaction space, WatchThru expands the device into 3D through a transparent display. This enables novel interactions that leverage and extend smartwatch glanceability. We describe three novel interaction techniques, Pop-up Visuals, Second Perspective and Peek-through, and dis- cuss how they can complement interaction on current devices. We also describe two types of prototypes that helped us to explore standalone interactions, as well as, proof-of-concept AR interfaces using our platform.
    Konferenzbeitrag
      351  93
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    It s Time to Do Something: Mitigating the Negative Impacts of Computing Through a Change to the Peer Review Process
    (2018) ;
    Hecht, Brent
    ;
    Wilcox, Lauren
    ;
    P., Jeffrey Bigham
    ;
    Schöning, Johannes
    Bericht
      299  203
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    The Effect of Population and Structural Biases on Social Media-based Algorithms - A Case Study in Geolocation Inference Across the Urban-Rural Spectrum
    (ACM, 2017) ;
    Johnson, Isaac
    ;
    McMahon, Connor
    ;
    Schöning, Johannes
    ;
    Hecht, Brent
    Much research has shown that social media platforms have substantial population biases. However, very little is known about how these population biases affect the many algorithms that rely on social media data. Focusing on the case study of geolocation inference algorithms and their performance across the urban-rural spectrum, we establish that these algorithms exhibit significantly worse performance for underrepresented populations (i.e. rural users). We further establish that this finding is robust across both text- and network-based algorithm designs. However, we also show that some of this bias can be attributed to the design of algorithms themselves rather than population biases in the underlying data sources. For instance, in some cases, algorithms perform badly for rural users even when we substantially overcorrect for population biases by training exclusively on rural data. We discuss the implications of our findings for the design and study of social media-based algorithms.
    Konferenzbeitrag
      258  125