International Conference on Information Interaction in Context最新文献

{"title":"Fiction retrieval in enriched library systems","authors":"A. Mikkonen","doi":"10.1145/2362724.2362789","DOIUrl":"https://doi.org/10.1145/2362724.2362789","url":null,"abstract":"Recreational reading is an important part of people's everyday life in many countries. Borrowing books and leisure reading are the most popular activities among library users, and most of the books borrowed in the public libraries are fiction. Although it is known that leisure reading concentrates mostly on fiction, and fiction readers make up a large portion of the public library clientele, we have little information on how readers are currently using library catalogues for fiction searching. Current knowledge on users' search behavior with digital systems has mainly focused on retrieving for non-fiction. Also in system development the focus has been on retrieving for non-fiction. In spite of the development of library catalogues and digital content description methods for fiction collections, research on the usability of new content description tools as a part of fiction retrieval in online catalogues is lacking. There is a gap in our understanding of how people currently search for recreational reading material in online catalogues and how these enriched catalogues support this activity in different reader groups.","PeriodicalId":413481,"journal":{"name":"International Conference on Information Interaction in Context","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114569880","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":"On sociocultural aspects of user elicitation","authors":"Ying-Hsang Liu, Mei-Mei Wu","doi":"10.1145/2362724.2362736","DOIUrl":"https://doi.org/10.1145/2362724.2362736","url":null,"abstract":"Elicitation (i.e., question-asking) is complex human linguistic behavior that can provide insights into people's knowledge state, intention and action for user modeling in information retrieval (IR) research. This paper reports a comparative study of user elicitation behaviors by Chinese and English speakers in professional settings of mediated search, with particular reference to sociocultural aspects of human communication. More specifically, this study investigates user elicitation behavior from real-life interactional cases, with the goal of exploring whether there are differences between Chinese and English speaking users in their elicitation behavior. To reveal the sociocultural influences in user-intermediary interactions, corpus data is analyzed in terms of the identification and counting of the purposes and communicative functions. Our findings revealed significant differences in the use of elicitation purposes and communicative functions by Chinese and English users. Chinese users were more concerned about the technical aspects of searching activities, with little reference to the cognitive aspects of their information problems. Importantly, the differences in communicative functions (i.e., the intended meaning) suggested potential sociocultural influences on micro-level information seeking. The findings are discussed in view of IR system design supporting query formulation, user modeling in interactive IR and conceptual modeling in information behavior research.","PeriodicalId":413481,"journal":{"name":"International Conference on Information Interaction in Context","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128975638","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":"An exploratory study on search behavior in different languages","authors":"Peng Chu, E. Józsa, A. Komlódi, K. Hercegfi","doi":"10.1145/2362724.2362784","DOIUrl":"https://doi.org/10.1145/2362724.2362784","url":null,"abstract":"More and more people search online in a language that is not their native language due to the limited availability of content in underrepresented languages [1]. Most such users search in English as a second language. Very few researchers studied the challenges second language searchers face, even though searching in a foreign language and language proficiency and skills constitute an essential part of the context of searching, which can in return impact the search process and outcome. This exploratory study examines differences in first and second language web searching. Query reformulations from 14 participants who searched in English (first language) and Spanish (second language) and 17 participants who searched in Hungarian (first language) and English (second language) are analyzed and compared. Preliminary results show that searching in a foreign language requires significantly longer time, more query reformulations, and more websites viewed. User feedback also indicates that the search strategy that our participants successfully use in their first language is often much less efficient in their second language.","PeriodicalId":413481,"journal":{"name":"International Conference on Information Interaction in Context","volume":"149 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125772762","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":"Personalized support in exploratory search","authors":"Daniel T. J. Backhausen","doi":"10.1145/2362724.2362787","DOIUrl":"https://doi.org/10.1145/2362724.2362787","url":null,"abstract":"Complex tasks like answering research questions or solving problems require to carry out longitudinal processes where different information objects need to be gathered, collected, interpreted, analyzed, and evaluated [1]. Such a process normally includes several search and exploration sessions where the user interactively digs deeper into a more or less unknown domain.\u0000 This research is driven by the fact that most common systems are designed to fit a general user where users are submitting queries and the retrieval system returns a ranked list of results. Regardless of the user, the query always returns the same list of results. Individual aspects like age, gender, profession or experience are often not taken into account, for example the difference in searching between children and adults. Unfortunately many systems are optimized for lookup searches, expecting that the user is only interested in facts and not in problem solving. Additionally common systems still assume that the user has a static information need which remains unchanged during the seeking process. In each step of the overall seeking process, the user faces a new situation in which knowledge and information need changes. This influences the relevance of information objects and may direct each user individually to different topics, domains, tasks or even search strategies.\u0000 Due to uncertainty and missing knowledge, exploratory search activities need far more assistance like closing the the gap between different search sessions, allowing the user to review and continue their search more easily. Moreover the complexity of working tasks and the individual qualifications require personalized support to the searcher. The goal of this research is to investigate a concept assisting the user within such interactive exploratory search activities, allowing an effective information exploration by personalizing the seeking & searching process. Personalized IR systems need to adapt to relevant factors and commit itself to the specific user and the personal search behavior. The user should be guided throughout the searching process, suggesting useful search strategies and effective tactics which matches the users searching behavior and the current situation. To bridge different search sessions, past activities must be visualized in a kind of breadcrumb or timeline. That's why we are currently prototyping a way to visualize the personal Google search history using Timeline JS.\u0000 To further assist the user with strategic search support, it is necessary to be aware of the user herself and specific contextual circumstances which may be relevant to the situation. General information about the user like gender or age but also relevance feedback can be fetched explicitly, allowing the system to adapt in a more coarse grained way (e.g. deciding the way of presenting results). Moreover integrating common used applications (e.g. Evernote) or providing other ways to let the user manage tasks will help to u","PeriodicalId":413481,"journal":{"name":"International Conference on Information Interaction in Context","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133079696","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":"Physicists' information tasks: structure, length and retrieval performance","authors":"Marianne Lykke, P. Ingwersen, Toine Bogers, Haakon Lund, Birger Larsen","doi":"10.1145/1840784.1840837","DOIUrl":"https://doi.org/10.1145/1840784.1840837","url":null,"abstract":"In this poster, we describe central aspects of 65 natural information tasks from 23 senior researchers, PhDs, and experienced MSc students from three different university departments of physics. We analyze 1) the main purpose of the information task, 2) which and how many search facets were used to describe the tasks, 3) what semantic categories were used to express the search facets, and 4) retrieval performance. Results show variety in structure and length across task descriptions and task purposes. The results indicate effect of length and, in particular, of task purpose on retrieval performance of different document description levels that should be examined further.","PeriodicalId":413481,"journal":{"name":"International Conference on Information Interaction in Context","volume":"70 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":"121065052","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 complexity measures in information retrieval","authors":"F. V. D. Sluis, E. V. D. Broek","doi":"10.1145/1840784.1840843","DOIUrl":"https://doi.org/10.1145/1840784.1840843","url":null,"abstract":"Although IR is meant to serve its users, surprisingly little IR research is not user-centered. In contrast, this article utilizes the concept complexity of information as the determinant of the user's comprehension, not as a formal golden measure. Four aspects of user's comprehension are applies on a database of simple and normal Wikipedia articles and found to distinguish between them. The results underline the feasibility of the principle of parsimony for IR: where two topical articles are available, the simpler one is preferred.","PeriodicalId":413481,"journal":{"name":"International Conference on Information Interaction in Context","volume":"67 12 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":"115043498","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":"Identifying queries in the wild, wild web","authors":"Jingjing Liu, Chang Liu, Jun Zhang, R. Bierig, Michael J. Cole","doi":"10.1145/1840784.1840832","DOIUrl":"https://doi.org/10.1145/1840784.1840832","url":null,"abstract":"Identifying user querying behavior is an important problem for information seeking and retrieval research. Query-related studies typically rely on server-side logs taken from a single search engine, but a comprehensive view of user querying behaviors requires analysis of data collected from the client-side for unrestricted searches. We developed three methods to identify querying behaviors and tested them on client-side logs collected in a lab experiment for realistic tasks and unrestricted searches on the entire Web. Results show that the best method was able to identify 97% of queries issued, with a precision of 92%. Although based on a relatively small number of search episodes, our methods, perhaps with minimal modifications, should be adequate for identification of queries in logs of unconstrained Web search.","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":"129692388","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":"Context effect on query formulation and subjective relevance in health searches","authors":"C. Lopes, Cristina Ribeiro","doi":"10.1145/1840784.1840815","DOIUrl":"https://doi.org/10.1145/1840784.1840815","url":null,"abstract":"It is recognized by the Information Retrieval community that context aects the retrieval process. Query formulation and relevance assessment are stages where the user role is central. The first determines what the system will search for and the second is frequently used to evaluate how the system behaved. With a large human involvement, these stages are expected to be largely influenced by user and task characteristics. To analyze the influence of these context features on the specified stages of health information retrieval, we conducted a user study in which we collected user features through two questionnaires. User characteristics include features like age, gender, web search experience, health search experience and familiarity with the medical topic. Task features include the medical specialty, the question type, the task's clarity and the task's easiness. Besides user and task features, the relevance assessment analysis also covered features related to the query and document. We found many variables do indeed aect query formulation and relevance judgment. Some of our results question evaluations using test collections and ask for evaluation models that incorporate other kind of success measures.","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":"126897950","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":"Testing visualization on the use of information systems","authors":"Xiaojun Yuan, Xiangmin Zhang, Alex Trofimovsky","doi":"10.1145/1840784.1840840","DOIUrl":"https://doi.org/10.1145/1840784.1840840","url":null,"abstract":"In this study, we tested how users perceived differently between an information visualization system and a text information retrieval system. A between-subjects user-centered experiment was conducted and 32 subjects participated in this study. The CiteSpace system and the Web of Science system were compared, with the former focuses on visualization output and the latter addresses textual output. The results showed that subjects gave significantly more positive ratings in a majority of measures to the CiteSpace system than the Web of Science system. Results indicate that it would be helpful to consider different visualization techniques to represent and organize information in the design of information retrieval systems.","PeriodicalId":413481,"journal":{"name":"International Conference on Information Interaction in Context","volume":"29 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":"115917182","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":"Constructing query-biased summaries: a comparison of human and system generated snippets","authors":"L. L. Bando, Falk Scholer, A. Turpin","doi":"10.1145/1840784.1840813","DOIUrl":"https://doi.org/10.1145/1840784.1840813","url":null,"abstract":"Modern search engines display a summary for each ranked document that is returned in response to a query. These summaries typically include a snippet -- a collection of text fragments from the underlying document -- that has some relation to the query that is being answered.\u0000 In this study we investigate how 10 humans construct snippets: participants first generate their own natural language snippet, and then separately extract a snippet by choosing text fragments, for four queries related to two documents. By mapping their generated snippets back to text fragments in the source document using eye tracking data, we observe that participants extract these same pieces of text around 73% of the time when creating their extractive snippets.\u0000 In comparison, we notice that automated approaches for extracting snippets only use these same fragments 10% of the time. However, when the automated methods are evaluated using a position-independent bag-of-words approach, as typically used in the research literature for evaluating snippets, they are scored much more highly, seemingly extracting the \"correct\" text 24% of the time.\u0000 In addition to demonstrating this large scope for improvement in snippet generation algorithms with our novel methodology, we also offer a series of observations on the behaviour of participants as they constructed their snippets.","PeriodicalId":413481,"journal":{"name":"International Conference on Information Interaction in Context","volume":"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":"131798422","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}