Investigating the dependability of Weather Forecast Application: A Netnographic study
Obinna Ogbonnia Otuu · 2023
Weather forecast applications (WFAs) inform smartphone users about what is expected next as the weather changes. However, users’ dependence on the weather forecast application for decision making is unknown. Studies exist that investigated the features, functionalities and limitations of weather forecast applications, but none has explored if the WFAs users really depend on them for their day to day decision making purpose. To cover this gap, we examined 73 UK-based WFAs users for 32 days, to find out their WFAs decision making experiences and concerns, using netnographic method, which led to some design implications that will improve future WFAs design. This study reveals some relevant WFAs design implications, suggestions for improvements and contributes to the infant netnographic method which has tremendous potentials for Human Computer Interaction research..