Bleisch, Susanne
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Bleisch, Susanne
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- PublikationDo you see us?—Applied visual analytics for the investigation of group coordination(Springer, 18.03.2019) Rack, Oliver; Zahn, Carmen; Bleisch, Susanne [in: Gruppe. Interaktion. Organisation]01A - Beitrag in wissenschaftlicher Zeitschrift
- PublikationDo you see us? Applied visual analytics for the investigation of group coordination(Springer, 18.02.2019) Rack, Oliver; Zahn, Carmen; Bleisch, Susanne [in: Gruppe. Interaktion. Organisation. Zeitschrift für Angewandte Organisationspsychologie]Group coordination is a relevant prerequisite for understanding the effectiveness of groups. But, contrary to the large number of empirical studies, only a few studies concentrate on the development of analysis methods of coordination in groups. Hence, the purpose of this paper is to give a summary of the opportunities and limitations of common methods for capturing group coordination in applied field settings and to outline how visual analytics approaches might add to the common methods. Based on two illustrated visual analytics implementation examples—1) coordination and movements of soccer players, and 2) spatio-temporal event data—the potential of visual analytics approaches is identified for studying a greater variety of types of group coordination, and to consider the multifaceted nature of group processes in order to go beyond traditional coding processes.01A - Beitrag in wissenschaftlicher Zeitschrift
- PublikationEvaluating the impact of visualization of risk upon emergency route-planning(Taylor & Francis, 2019) Cheong, Lisa; Kinkeldey, Christoph; Burfurd, Ingrid; Bleisch, Susanne; Duckham, Matt [in: International Journal of Geographical Information Science]This paper reports on a controlled experiment evaluating how different cartographic representations of risk affect participants’ performance on a complex spatial decision task: route planning. The specific experimental scenario used is oriented towards emergency route-planning during flood response. The experiment compared six common abstract and metaphorical graphical symbolizations of risk. The results indicate a pattern of less-preferred graphical symbolizations associated with slower responses and lower-risk route choices. One mechanism that might explain these observed relationships would be that more complex and effortful maps promote closer attention paid by participants and lower levels of risk taking. Such user considerations have important implications for the design of maps and mapping interfaces for emergency planning and response. The data also highlights the importance of the ‘right decision, wrong outcome problem’ inherent in decision-making under uncertainty: in individual instances, more risky decisions do not always lead to worse outcomes.01A - Beitrag in wissenschaftlicher Zeitschrift
- PublikationExploratory geovisualizations for supporting the qualitative analysis and synthesis of place-related emotion data(North American Cartographic Information Society, 2019) Bleisch, Susanne; Hollenstein, Daria [in: Cartographic Perspectives]Locations become places through personal significance and experience. While place data are not emotion data, per se, personal significance and experience are often emotional. In this paper, we explore the potential of using visual data exploration to support the qualitative analysis of place-related emotion data. To do so, we draw upon Creswell’s (2009) definition of place to define a generic data model that contains emotion data for a given location and its locale. For each data dimension in our model, we present symbolization options that can be combined to create a range of interactive visualizations, specifically supporting re-expression. We discuss the usefulness of example visualizations, created based on a data set from a pilot study on how elderly women experience their neighborhood. We find that the visualizations support four broad qualitative data analysis tasks: revising categorizations, making connections and relationships, aggregating for synthesis, and corroborating evidence by combining sense of place with locale information to support a holistic interpretation of place data. In conclusion, the paper contributes to the literature in three ways. It provides a generic data model and associated symbolization options, and uses examples to show how place-related emotion data can be visualized. Further, the example visualizations make explicit how re-expression, the combination of emotion data with locale information, and visualization of vagueness and linked data support the analysis of emotion data. Finally, we advocate for visualization-supported qualitative data analysis in interdisciplinary teams so that more suitable maps are used and so that cartographers can better understand and support qualitative data analysis.01A - Beitrag in wissenschaftlicher Zeitschrift
- PublikationTechnological infrastructure supporting the story network principle of the Atlas of the Ageing Society(Wiley, 2019) Zanda, Adriana; Lutz, Jonas; Heymann, Alesya; Bleisch, Susanne [in: Geografie]01A - Beitrag in wissenschaftlicher Zeitschrift
- PublikationInvestigating roundabout properties and bicycle accident occurrence at Swiss roundabouts: A logistic regression approach(MDPI, 2019) Hollenstein, Daria; Hess, Martin; Jordan, Denis; Bleisch, Susanne [in: ISPRS International Journal of Geo-Information]The positive effects of active mobility on mental and physical health as well as on air quality are widely acknowledged. Increasing the share of active travel is therefore an aim in many countries. Providing bicycle-safe infrastructure is one way to promote cycling. Roundabouts are a common traffic infrastructure and are supposed to facilitate safe and smooth traffic flow. However, data on road traffic accidents indicate an over-proportional involvement of cyclists in accidents at roundabouts. In the present study, the influence of roundabout geometry and traffic flow on bicycle accident occurrence was investigated using a logistic regression approach on twelve parameters of N = 294 mostly small- and mini-sized single-lane roundabouts in the Canton of Berne, Switzerland. Average weekday motorized traffic was identified as a major factor in explaining bicycle accident occurrence at roundabouts. Further, the radius of the central island, the location of the roundabout (in town vs. out of town) and the number of legs were significantly related to bicycle accident occurrence. While these results are in general agreement with findings from similar studies, the findings regarding the central island’s radius and the number of legs underpin the need for roundabout type-specific studies: Some parameters may not prove relevant in intermediate- to large-sized roundabouts, but become critical in small or mini roundabouts, which are common in Switzerland and numerous in the present sample.01A - Beitrag in wissenschaftlicher Zeitschrift
- PublikationTechnological infrastructure supporting the story network principle of the Atlas of the Ageing Society(Česká geografická společnost, 2019) Zanda, Adriana; Lutz, Jonas; Heymann, Alesya; Bleisch, Susanne [in: Geografie]Atlases have a long tradition of showing and linking information for the exploration of various mostly spatially related topics. Be Atlas of the Ageing Society is an interactive platform illustrating age related data. It enables individuals to explore facts and information related to age and the ageing society. To support content representation as well as a diverse audience, we developed the “story network principle”, which embeds annotated visualizations into a network of information in order to allow storytelling with data. Enabling the exploration of such a multifaceted and highly interconnected data landscape, however, posed some technical challenges. Bis paper describes and discusses a back-end implementation that meets the requirements of the story network principle from a technical perspective. We detail and exemplify the design and implementation of the atlas infrastructure to enable others to benefit from our developments and approaches to the challenges. Be story network principle is potentially applicable to a range of applications such as other atlases or digital portfolios.01A - Beitrag in wissenschaftlicher Zeitschrift
- PublikationVisual feature engineering(Institut Geomatik, Hochschule für Architektur, Bau und Geomatik FHNW, 2018) Bleisch, SusanneFeature engineering is a key concept in machine learning describing the process of defining the characteristics of an observed phenomenon in a way that makes it usable by an algorithm (e.g., [3]). This process often includes domain knowledge to make the features, as well as the results of the algorithms, meaningful in the respective application area. In data analysis generally, including visual data analysis, the obtained results or insights are often dependent on the employed analysis method as well as the parameters and their imensions used. A simple but well-known example is the modifiable area unit problem [5]. Depending on the size and form of the spatial units chosen to aggregate the data, different visualizations and potentially interpretations of the information may result. In some cases, the chosen methods or algorithms and their parameters can be argued to be the right ones to support a specific analysis task, in other cases a sensitivity analysis may be helpful in determining the optimal values. Additionally, visual analytics, allowing tight integration of the interaction with the methods and parameters and the visualizations, has the potential to support the evaluation of the right or sensible analysis method and its parameters as well as to provide provenance information for the finally employed approach.05 - Forschungs- oder Arbeitsbericht
- PublikationChallenges of a Modern Atlas of the Ageing Society(12.07.2016) Bleisch, Susanne; Hil, Darjan; Korkut, Safak; Meyer, Philipp06 - Präsentation
- PublikationWo und wann? - Zur Verortung von historischen Informationen(03.12.2011) Bleisch, Susanne06 - Präsentation