Now showing 1 - 2 of 2
  • Publication
    Mobile sensors on electric bicycles : A qualitative study on benefits and requirements from user perspective
    (Universität Paderborn, 2014-02-26)
    Flüchter, Kristina
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    Kundisch, Dennis
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    Suhl, Leena
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    Beckmann, Lars
    Electric bicycle (e-bike) sales have enjoyed tremendous growth in recent years. As the e-bike market is maturing, the collection, analysis and display of usage data is becoming an important source of differentiation for competitors. Several alternatives are conceivable as to how usage data might be collected, one of them being mobile sensing devices, which are permanently attached to the bicycles. While the technical feasibility of such devices appears within reach, little is known about the benefits and requirements from user perspective. This qualitative study presents findings from interviews with 33 potential users. User requirements concerning the sensor specification are derived and insights provided into users’ interest in bicycle-related data and their assessment of data sensitivity.
  • Publication
    Using Twitter as a Source for Travel Warnings: Understanding the Role of Information Source and Target Audience
    (Universität Paderborn, 2014-02-26)
    Noyen, Kay
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    Dennis, Kundisch
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    Suhl, Leena
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    Beckmann, Lars
    Business travelers are oftentimes equipped with technology informing them about local dangers. As these corporate travel risk applications increase personal safety during travels, they are also expensive and hardly available to the average traveler. Online platform Twitter, known for extensive contribution by nonaffiliated users, has also been recognized by international foreign offices as an outlet for travel warnings and guidance. This new channel of information allows for the creation of applications that bring current and high quality travel risk information to the mainstream. Our explorative research aims at investigating the role of the information source and target audience of such an application. The results of our analysis show no substantial evidence that user-generated travel risk information would be per se unsuitable as an information source. Further, our analysis revealed that frequent travelers as well as non-frequent Twitter users might be of special interest as a target group for the application.