Users often conduct exploratory searches on the Web to solve complex problems, but how for evaluating the effectiveness of a search, especially in a user-centered approach, remains an open question. We propose a user-centered method to evaluate the effectiveness of an exploratory search by focusing on the change in the users' mental representations of a topic during their exploratory search on the Web. This was done by comparing the concept maps depicted before and after each users searching. Thirty-five undergraduate students recruited from various departments and universities participated in our experiment. The participants were instructed to search for and gather Web pages for the task of writing a term paper on two given topics, politics and media, while working in either of two scenarios: "Selective scenario" (identifying only ten Web pages as important) and "As-Many-As scenario" (collecting as many Web pages as possible). The participants were divided into two groups: one group searched for both topics in the Selective scenario, and the other searched for them in the As-Many-As scenario. They composed their concept maps before and after searching. We defined the following measures to show the differences between the maps before and after a search to analyze the concept maps made by the participants: common, new, and lost map components like nodes, links, and link labels. We used these measures to compare the results from different topics, scenarios, and browser types. The results showed that the concept maps greatly changed after searching and that there were more common nodes and link labels in the Selective scenario than in the As-Many-As scenario. A comparative analysis of the concept maps between the pre-and post-search maps indicated that the users significantly changed their knowledge structure of a topic by completing the exploratory search task.
We built a researcher identifier management system called the Researcher Name Resolver (RNR) to assist with the name disambiguation of authors in digital libraries on the Web. RNR, which is designed to cover all researchers in Japan, is a Web-oriented service that can be openly connected with external scholastic systems. We expect it to be widely used for enriched scholarly communications. In this paper, we first outline the conceptual framework of RNR, which is jointly focused on researcher identifier management and Web resource linking. We based our researcher identifier scheme on the reuse of multiple sets of existing researcher identifiers belonging to the Japanese grant Researcher identifiers are associated by direct links to related resources on the Web through a combination of methods, including descriptive mapping, focused crawling on campus directories and researcher identification by matching names and affiliations. Second, we discuss our implementation of RNR based on this framework. Researcher identifiers construct uniform resource identifiers to show Web pages that describe researcher profiles and provide links to related external resources. We have adapted Web-friendly technologies-e.g., OpenSearch and the RDFs of Linked Data technology-in this implementation to provide Webfriendly services. Third, we discuss our application of RNR to a name disambiguation task for the search portal of the Japanese Institutional Repositories Online to determine how well the researcher identifier management system cooperates with external systems. Finally, we discuss lessons learned from the entire project as well as the future development directions we intend to take.
Web SERP 3 SERP Information/Navigational SERP We used an eye tracking tool to investigate the effect of user-based, task-based, and querybased properties when people performed information seeking behaviors on the Web on the search engine results pages (SERP). For the analysis of the user experimental data, we integrated information from various sources, including eye tracking data, browser logs, and post-interview data. An analysis of the results indicated that the query type has a dominant effect and implies that SERPs behaviors might be predictable from the type of query.:, ,
In this study, we investigate the changes in users' mental representations of a topic during their exploratory search on the Web. We use concept maps to compare the users' knowledge before and after a search. Participants are required to gather information on the Web as preparation for a regular feature of a magazine on environment and trip topics. They are divided into two scenario groups: divergent and convergent. The divergent scenario requires the gathering of Web pages for an entire series of articles in a regular feature while the convergent scenario requires the gathering of Web pages for a single article of a regular feature. A comparative analysis between the pre-and postsearch concept maps indicate that the participants in the divergent scenario change their knowledge widely while the participants in the convergent scenario change their knowledge deeply. The results also show that there were more nodes, links, and link labels in the trip topic than in the environmental topic.
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