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The growing popularity of location-based services for mobile smartphones requires web content to be assigned with location tags. In this paper we propose a simple yet powerful approach that assigns location information tags to online content that hasn't been originally assigned with such. The novel method first assesses if the content has any locationbased relevance and then assigns one or more location tags to it. It is a user-centric approach. This means that instead of analyzing the content itself, it uses the locations from where the content has been accessed from. It is hence universally applicable for any type of legacy online content, like text, pictures or videos. Finally we present a case study with a non location-based question and answer platform, to which we apply our approach and build a location-based, mobile system.

Our study contributes to the research on human error during IS use by studying the antecedents of the omission errors that occur during routine instances of computerized work.While attention lapses have been identified as the main mechanism leading to omission errors, we still know little about how such lapses come about during post-adoptive system use. To address this limitation, we draw our theoretical insights from theories of attention and prospective memory to illustrate how the different forms of system use carry the potential to explain patterns of human error. Accordingly, we distinguish between two forms of use history that can consist of features that are either related or unrelated to the execution of a focal task and examine their effects on the frequency of omission errors. We also examine the interaction effects of task variation on the aforementioned relationship. Our hypotheses are tested by analyzing log data associated with the use of a newly introduced mobile application in the context of a sailing sports event. Our results indicate that restricting one's system use on related task features reduces omission errors, whereas a use history based on unrelated task features produces the opposite effects. Further, task diversity positively moderates the relationship between a use history of unrelated features and omission errors, but has no significant moderating effect on the relationship between a use history of related features and omission errors. Our findings hold a number of implications for the literature on human error, and these are discussed alongside with the implications of our study for practitioners and system design.

While mobile apps for smartphones are consistently popular, the most common way for users to explore the Internet is still through the WWW. Websites are however not explicitly equipped with information regarding their location -an issue for use on mobile devices. With this work we aim at bridging this gap by adding a location layer to websites and letting users browse by nearby websites. We present a mobile demonstrator called Webnear.me. Once installed on the smartphone, users are able to list websites in proximity their location: Near.me. Websites in proximity to another one can be browsed too: Near.this. With our application we strive to give answers to the question of how web content should be tagged with locations. We approach this question with several content-and user-centric location-tagging methods.

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