International Conference on Information Interaction in Context最新文献

{"title":"Interactive information seeking via selective application of contextual knowledge","authors":"G. Golovchinsky, Jeremy Pickens","doi":"10.1145/1840784.1840806","DOIUrl":"https://doi.org/10.1145/1840784.1840806","url":null,"abstract":"Exploratory search is a difficult activity that requires iterative interaction. This iterative process helps the searcher to understand and to refine the information need. It also generates a rich set of data that can be used effectively to reflect on what has been found (and found useful). While traditional information retrieval systems have focused on organizing the data that was retrieved, in this paper, we describe a systematic approach to organizing the metadata generated during the search process. We describe a framework for unifying transitions among various stages of exploratory search, and show how context from one stage can be applied to the next. The framework can be used both to describe existing information-seeking interactions, and as a means of generating novel ones. We illustrate the framework with examples from a session-based exploratory search system prototype.","PeriodicalId":413481,"journal":{"name":"International Conference on Information Interaction in Context","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128406894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Supporting semantic navigation","authors":"R. Kopak, Luanne Freund, H. O'Brien","doi":"10.1145/1840784.1840839","DOIUrl":"https://doi.org/10.1145/1840784.1840839","url":null,"abstract":"In this paper we outline an approach to improving information interaction in exploratory search based on the concept of semantic navigation. We introduce the concept of semantic navigation, discuss some approaches to providing support for semantic navigation at the interface level, and introduce the example of reading tools that have been developed in the context of the Open Journal Systems.","PeriodicalId":413481,"journal":{"name":"International Conference on Information Interaction in Context","volume":"45 23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127059696","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Applying information foraging theory to understand user interaction with content-based image retrieval","authors":"Haiming Liu, P. Mulholland, D. Song, V. Uren, S. Rüger","doi":"10.1145/1840784.1840805","DOIUrl":"https://doi.org/10.1145/1840784.1840805","url":null,"abstract":"The paper proposes an ISE (Information goal, Search strategy, Evaluation threshold) user classification model based on Information Foraging Theory for understanding user interaction with content-based image retrieval (CBIR). The proposed model is verified by a multiple linear regression analysis based on 50 users' interaction features collected from a task-based user study of interactive CBIR systems. To our best knowledge, this is the first principled user classification model in CBIR verified by a formal and systematic qualitative analysis of extensive user interaction data.","PeriodicalId":413481,"journal":{"name":"International Conference on Information Interaction in Context","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126278467","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"When is system support effective?","authors":"Abdigani Diriye, A. Blandford, A. Tombros","doi":"10.1145/1840784.1840794","DOIUrl":"https://doi.org/10.1145/1840784.1840794","url":null,"abstract":"It is widely acknowledged that exploratory search tasks require more search support than currently provided on most commercial Information Retrieval (IR) systems. As a result, richer modes of interaction, and more functional IR systems are being developed. But these next generation IR systems come at a cost: they can place a large cognitive load on the user during interaction, and hamper progress. In this paper, we investigate the relationship between search tasks and search interfaces, and try to understand when system support is most effective for search tasks. We present a user study comprising known-item and exploratory search tasks and different interfaces that provide varying levels of system support. A quantitative and qualitative data analysis was conducted on the users' performances, preferences, and search behaviours. Our findings suggest that a relationship exists between the level of system support and search tasks, and that system support is most effective when it is enabling search activities appropriate to the task","PeriodicalId":413481,"journal":{"name":"International Conference on Information Interaction in Context","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133274267","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating interfaces for government metasearch","authors":"Paul Thomas, Katherine Noack, Cécile Paris","doi":"10.1145/1840784.1840796","DOIUrl":"https://doi.org/10.1145/1840784.1840796","url":null,"abstract":"Metasearch tools, which combine search results from any number of independent search engines, could be useful in a range of tasks and especially for integrating information from separate government agencies. However, it is not immediately clear what user interfaces might be appropriate for presenting results from more than one source.\u0000 We evaluated four interface designs with real tasks from Centrelink, Australia's social services agency, and with a working metasearch tool. Test users recorded similar overall effectiveness across these interfaces, but did not like the most familiar options, a single ranked list or a link to broaden search scope. Interfaces which supported identifying, understanding, and selecting between sources were strongly preferred.","PeriodicalId":413481,"journal":{"name":"International Conference on Information Interaction in Context","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124898536","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A survey of patent users: an analysis of tasks, behavior, search functionality and system requirements","authors":"Hideo Joho, L. Azzopardi, W. Vanderbauwhede","doi":"10.1145/1840784.1840789","DOIUrl":"https://doi.org/10.1145/1840784.1840789","url":null,"abstract":"With a growing interest in Patent Information Retrieval, there is a need to better understand the context associated with patent users, their tasks, needs and expectations of patent search systems and applications. Patent search is known to be a complex, difficult and challenging activity, usually requiring expert Patent Information Specialists to spend a substantial amount of time sourcing (or not) documents relevant to their particular task. Information Retrieval provides a whole array of possible techniques and tools which could be applied to ease the burden of such retrieval tasks, and also make searching patents more accessible to non-Patent Information Specialists. In this paper, we report the findings from a survey of patent users conducted to ascertain information about patent users and their search requirements with respect to Information Retrieval systems and applications.","PeriodicalId":413481,"journal":{"name":"International Conference on Information Interaction in Context","volume":"71 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116388503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The effect of task type and topic familiarity on information search behaviors","authors":"Peng Qu, Chang Liu, Maosheng Lai","doi":"10.1145/1840784.1840841","DOIUrl":"https://doi.org/10.1145/1840784.1840841","url":null,"abstract":"The paper describes results from a task-driven experiment on Web users' search behaviors. Subjects' search behavior and search experience in three types of search tasks (Fact Finding, Hierarchical Information Gathering, and Parallel Information Gathering) are compared. Our results indicate that both task type and familiarity can influence search behaviors (completion time and number of queries), but do not influence habitual behaviors, like the search entrance. In addition, users often gained new knowledge after searching.","PeriodicalId":413481,"journal":{"name":"International Conference on Information Interaction in Context","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121508154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Using a concept map to evaluate exploratory search","authors":"Yuka Egusa, Hitomi Saito, Masao Takaku, H. Terai, M. Miwa, N. Kando","doi":"10.1145/1840784.1840810","DOIUrl":"https://doi.org/10.1145/1840784.1840810","url":null,"abstract":"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.","PeriodicalId":413481,"journal":{"name":"International Conference on Information Interaction in Context","volume":"191 Suppl 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134206518","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The notion of context in \"Information Interaction in Context\"","authors":"T. Saracevic","doi":"10.1145/1840784.1840786","DOIUrl":"https://doi.org/10.1145/1840784.1840786","url":null,"abstract":"As a process, information interaction is (fairly) well defined; considerable amount of research is devoted to the topic in various areas, particularly in human information behavior and human-computer interaction. In contrast the notion of \"context\" in which this interaction takes place is ill or not defined and rarely researched -- mostly it is taken as a primitive term. Paul Watzlawick (1921-2007) facing a similar issue as to the notion of \"communication\" formulated five axioms in his theory of communication; the most famous is the first axiom: \"One Cannot Not Communicate (Man kann nicht nicht kommunizieren).\" [1]. Directly following Watzlawick's axioms, this address is an attempt to formulate five axioms related to \"context\" in information interaction. We start with an assumption that information interaction involves two distinct parties: an information system on the one hand, and an information user (or group of users) on the other hand. Systems and users are partners in interaction. Both have a context, but since there is no interaction without a user (or group), we concentrate here mostly with the user side of the context.\u0000 Axiom 1: One cannot not have a context in information interaction. Every interaction is conducted within a context. Because context-less information interaction is impossible, it is not possible not to have a context.\u0000 Axiom 2: Every interaction has a content and relationship aspect -- context is the later and classifies the former. It means that all interactions, apart from information derived from meaning of words or terms describing the content, have more information to be derived from context.\u0000 Axiom 3: The nature of information interaction is asymmetric; it involves differing processes and interpretation by parties involved. Contexts are asymmetric as well. Systems context is primarily about meanings; user context is primarily about situations.\u0000 Axiom 4: Context is multilayered. It extends beyond users or systems. In interactions it is customary to consider direct context, but context extends indirectly to broader social context also.\u0000 Axiom 5: Context is not self-revealing, nor is it self-evident. Context may be difficult to formulate and synthesize. But plenty can go wrong when not taken into consideration in interactions.\u0000 The problem of context is determining the conditions and circumstances that are relevant to a given information interaction; with this, the notion of information interaction context is connected with the notion of relevance in information science.","PeriodicalId":413481,"journal":{"name":"International Conference on Information Interaction in Context","volume":"291 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115289113","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Interaction-based information filtering for children","authors":"R. Glassey, Desmond Elliott, T. Polajnar, L. Azzopardi","doi":"10.1145/1840784.1840834","DOIUrl":"https://doi.org/10.1145/1840784.1840834","url":null,"abstract":"This paper presents an interaction-based information filtering system designed for the needs of children accessing multiple streams of information. This is an emerging problem due to the increased information access and engagement by children for their education and entertainment, and the explosion of stream-based information sources on most topics.\u0000 It has been shown that children have difficulties formulating text-based queries and using interfaces primarily designed for adults. The in-progress system presented in this paper attempts to address these difficulties by employing an interaction-based interface that simplifies the expression of information needs and adapts itself to user interests over time. To overcome issues of content moderation, the system aggregates multiple child-friendly information feeds and performs offline processing to facilitate topic filtering. A set of standing topics are created for initial interaction and subsequent interactions are used to infer and refine which topics the child would most likely want to have presented. A simple and easy-to-use interface is presented which uses relevance information to determine the appropriate size of the document title to display to act as a relevance-cue to the user.\u0000 The planned research focuses on validating the interaction-based approach with both child and adult populations to discover the differences and similarities that may exist.","PeriodicalId":413481,"journal":{"name":"International Conference on Information Interaction in Context","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124259320","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}