Many governments are now promoting the use of mobile applications allowing citizens to report incidents in their neighborhood to the administration. Such applications are sought to sense the quality of the environment thus enabling authorities to promote safety and well-being among citizens. However, little is known about how users perceive incident reporting systems andwhich factors affect the user experience (UX) and the perception of risk. In this paper we present some lessons learned from an empirical study involving twenty users engaged in reporting urban incidents using a mobile application. A significant result from the present study is to point out how and which UX dimensions can be effectively used as triggers to motivate users to report incidents. Based on citizens' perception of urban incidents, we discuss how to build innovative incident reporting systems that can improve the communication between citizens and administrations.

One orthodox perspective of the semantic Web depends on establishing a unified representation of ontology for an universe of discourse. However this expectation is unrealistic, because different people have different views of the world, making it impossible to devise a unified knowledge view that satisfies everyone in certain cases. One solution for this problem is to allow different users' views of consensual knowledge formalized in an ontology, and keep track of the mappings between these views and the underlying ontology. This work proposes to collect context information from the users interactions with a semantic search system, in order to gradually build individual users' views mapped to an ontology. This approach allows the user to pose queries based on keywords or his personal knowledge view. In addition, each personalized knowledge view captures the preferences of a single, specific user, enabling the system to provide better search results, based on its previous experience with that user.

Abstract. This paper is concerned by the development of tools for supporting personal information management over the Web; i.e. the storage and retrieval of personal information collected by users whilst interacting with Web applications. As personal information collections are unique to the user, it is very difficult to provide a uniform organization of information for everyone. Nonetheless, most personal information management systems (PIMS) will be concerned by similar aspects of information management such as information granularity, physical storage, policies for sharing information, versioning, etc. In this paper we analyze how information management aspects affect the development of PIMS. We start by identifying the relevant software aspects required to the development of PIMS. Then we describe how models featuring different aspects can be combined in a meta-model to build PIMS tools. This approach is illustrated by a case study.Keywords: personal information management systems, aspect modeling, models composition. IntroductionPeople naturally collect and store information that is relevant to their personal needs. In today's word people have an enormous quantity information on which depends the their daily lives; registration numbers with government services, addresses, telephones and e-mail addresses, banking information, etc. However, research has consistently shown that most of users have difficulties to remember where they placed their personal information and thus have difficulties in retrieving it (Jones & Teevan, 2007). As the quantity of information a person possesses increases, users must develop additional mechanisms for organizing their information space. Personal computers are often used with Personal Information Management (PIM) systems, as they allow people to collect items of information and store them outside their cognitive system (Malone, 1983). In the last years, users are more likely to interact with many applications and computers, thus causing fragmentation of their information space. Indeed, in order to manage their personal information, users frequently rely on multiple tools such as e-mail managers, agendas and file managers.

When different devices and applications start to work with one another, physical and behavioral aspects from the environment have to be taken into account when designing a system. It is impractical, if not impossible, to list all possible devices, applications and new characteristics and behaviors that might emerge as result from the autonomy of each part from the parts of the system, different data interpretation and self-organization capability. In order to cope with this difficulty, this paper combines the contributions from different works as a way to improve the modeling process of this type of computational environment.