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Mobile devices are becoming more and more difficult to use due to the sheer number of functions now supported. In this paper, we propose a menu customization system that ranks functions so as to make interesting functions, both frequently used functions and rarely used functions, easy to access. Concretely, we define the features of phone functions by extracting keywords from the manufacturer's manual, and propose the method that ranks the functions based on user operation history by using Ranking SVM (Support Vector Machine). We conduct a home-use test for one week to evaluate the efficiency of customization and the usability of menu customization. The results show that the average rank of used functions on the last day of the test is half of that of first day and almost 70 % of the users are satisfied with the ranking provided by menu customization and the usability of menus. In addition, interviews show that automatic mobile menu customization is more appropriate for mobile phone beginner rather than the master users.

Abstract. We study the case of integrating situational reasoning into a mobile service recommendation system. Since mobile Internet services are rapidly proliferating, finding and using appropriate services requires profound service descriptions. As a consequence, for average mobile users it is nowadays virtually impossible to find the most appropriate service among the many offered. To overcome these difficulties, task navigation systems have been proposed to guide users towards best-fitting services. Our goal is to improve the user experience of such task navigation systems by adding contextawareness (i.e., to optimize service navigation by taking the user's situation into account). In this paper we propose the integration of a situational reasoning engine that applies classification-based inference to context elements, gathered from multiple sources and represented using ontologies. The extended task navigator enables the delivery of situation-aware recommendations in a proactive way. Initial experiments with the extended system indicate a considerable improvement of the navigator's usability.

Abstract.We have been developing a task-based service navigation system that offers to the user for his selected services relevant to the task the user wants to perform. We observed that the tasks likely to be performed in a given situation depend on the user's role such as businessman or father. To further our research, we constructed a role-ontology and utilized it to improve the usability of task-based service navigation. We have enhanced a basic task-model by associating tasks with role-concepts defined in the new role-ontology. We can generate a task-list that is precisely tuned to the user's current role. In addition, we can generate a personalized task-list from the task-model based on the user's task selection history. Because services are associated with tasks, our approach makes it much easier to navigate a user to the most appropriate services. In this paper, we describe the construction of our role-ontology and the task-based service navigation system based on the role-ontology.

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