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Social Networking Services (SNSes), such as Facebook and Twitter, provide a communication platform that easily communicates with a family, close friends, acquaintances and strangers. On the other hands, SNS users often unintentionally post a message on SNSes, including one's own sensitive information, and is revealed to other users. As a result, an SNS user can lose friend, or even a job. Moreover offhand posts can result in unforeseen problems. In order to prevent privacy leaks to SNSes, we defined an objective classificationtable of invasion of privacy for SNSes that will be based on classification according to contents of information, which should be kept private, and disclosure level. We also proposed a method that uses the classification table to provide settings for access control that prevent privacy leaks. In this paper, as a realization of this method, we developed a prototype system that adaptive disclosure control system on Facebook based on detection of sensitive information leaks and friends classified according to the disclosure level.

An iPhone application called "Wonder Search" for application search has been developed under the hypothesis that a search interface included sense-related search facets gives a better chance of finding new applications for users. The search facets comprise five attributes: icon color, icon tone, application category, user evaluation, and release date. We enhanced a ringstructured graphical search interface for multi-faceted metadata to solve two reported usability problems by preparing dials for each facet and dividing the functions for ring rotation into two operations. Usability testing with 60 participants demonstrated that users can use this application not only for searching for applications effectively but also for analyzing the features of applications. The application can potentially be used for sensing the emotions of users if the hypothesis that the colors browsed or selected by users are related to their feelings is correct.