Mobile computing presents formidable challenges not only to the design of applications but also to each and every phase of the systems lifecycle. In particular, the HCI community is still struggling with the challenges that mobile computing poses to evaluation. Expert-based evaluation techniques are well known and they do enable a relatively quick and easy evaluation. Heuristic evaluation, in particular, has been widely applied and investigated, most likely due to its efficiency in detecting most of usability flaws at front of a rather limited investment of time and human resources in the evaluation. However, the capacity of expert-based techniques to capture contextual factors in mobile computing is a major concern. In this paper, we report an effort for realizing usability heuristics appropriate for mobile computing. The effort intends to capture contextual requirements while still drawing from the inexpensive and flexible nature of heuristic-based techniques. This work has been carried out in the context of a research project task geared toward developing a heuristic-based evaluation methodology for mobile computing. This paper describes the methodology that we adopted toward realizing mobile heuristics. It also reports a study that we carried out in order to assess the relevance of the realized mobile heuristics by comparing their performance with that of the standard/traditional usability heuristics. The study yielded positive results in terms of the number of usability flaws identified and the severity ranking assigned. Copyright 2006 ACM
Managing interschema knowledge is an essential task when dealing with cooperative information systems. We propose a logical approach to the problem of both expressing interschema knowledge, and reasoning about it. In particular, we set up a structured representation language for expressing semantic interdependencies between classes belonging to different database schemas, and present a method for reasoning over such. interdependencies. The language and the associated reasoning technique makes it possible to build a logic-based module that can draw useful inferences whenever the need arises of both comparing and combining the knowledge represented in the various schemas. Notable examples of such inferences include checking the coherence of interschema knowledge, and providing integrated access to a cooperative information system.
Abstract. In this paper we describe the principles of the design and development of an intelligent query interface, done in the context of the SEWASIE (SEmantic Webs and AgentS in Integrated Economies) European IST project. The SEWASIE project aims at enabling a uniform access to heterogeneous data sources through an integrated ontology. The query interface is meant to support a user in formulating a precise query -which best captures her/his information needs -even in the case of complete ignorance of the vocabulary of the underlying information system holding the data. The intelligence of the interface is driven by an ontology describing the domain of the data in the information system. The final purpose of the tool is to generate a conjunctive query ready to be executed by some evaluation engine associated to the information system.
One of the main problems in the database area is to define query languages characterized by both high expressive power and ease of use. In this paper, we propose a system to query databases, using diagrams as a standard user interface.The system, called Query by Diagram * (QBD * ), makes use of a conceptual data model, a query language on this model and a graphical user interface. The conceptual model is the Entity-Relationship Model; the query language, whose expressive power allows recursive queries, supports visual interaction. The main characteristics of the interface are the ease of use, and the availability of a rich set of primitives for schema selection and query formulation. Furthermore, we compare the expressive power of QBD * and G + , which are the only languages allowing recursive queries to be expressed graphically.
During the last years databases have been growing in size, varieties of data, number of users, diversity of applications. Many such applications deal with data characterized by the temporal dimension (e.g., medical records, biographical data, financial data, etc.). Typically, end-users of these data are competent in the field of the application but are not computer experts. They need easy-to-use systems able to support them in the task of accessing and manipulating the data contained in the databases. It is well known that visual techniques are suitable in supporting users interacting with large data sets. However, no much research has been carried on specifically on the relationship between visual techniques and time-dependent data. This paper aims at filling this gap by presenting an overview of the main visual techniques for interactive exploration of time-oriented (historical) information.
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