{"title":"What does it mean to be literate in the age of Google?","authors":"D. Russell","doi":"10.1145/2362724.2362728","DOIUrl":"https://doi.org/10.1145/2362724.2362728","url":null,"abstract":"What does it mean to be literate at a time when you can search over billions of texts in less than 300 milliseconds? Although you might think that \"literacy\" is one of the great constants that transcends the ages, the skills of a literate person have changed substantially over time as texts and technology allow for new kinds of reading and understanding. Knowing how to read is just the beginning of it--knowing how to frame a question, pose a query, how to interpret the texts that you find, understand the information in context, how to organize and use the information you discover, how to understand your metacognition--these are all critical parts of being literate as well. In this talk I'll review what literacy is today, in the age of Google, and show how some very surprising and unexpected skills will turn out to be critical in the years ahead.","PeriodicalId":413481,"journal":{"name":"International Conference on Information Interaction in Context","volume":"12 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":"125209109","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":"SCAMP: a tool for conducting interactive information retrieval experiments","authors":"G. Renaud, L. Azzopardi","doi":"10.1145/2362724.2362776","DOIUrl":"https://doi.org/10.1145/2362724.2362776","url":null,"abstract":"Conducting Interactive Information Retrieval (IIR) research is often seen as an arduous and tedious process with a high barrier to entry. This high barrier is due to the overheads in developing and setting up even a simple lab-based IIR experiment. SCAMP (Search ConfigurAtor for experiMenting with PuppyIR) is a web-based tool that we have developed which enables researchers to configure standard IIR experiments. SCAMP provides the infrastructure that handles the major processes within the experimental flow (such as Participant Registration, Consent, Surveys, and the logging and tracking of tasks and participants through the experiment). Consequently, SCAMP reduces the time required to create an experiment and is ideal for undergraduate and masters students who would like to conduct an IIR experiment without extensive development. Furthermore, the tool is extensible. Other features can be easily added to SCAMP to customise the experiments. To evaluate SCAMP, we performed a within-subjects experiment where 48 participants used a web search engine with different search aids (query suggestion, spell correction, etc) to complete various web search tasks - to increase the difficulty of the search tasks certain query terms were banned. We use this evaluation to showcase the different features of the SCAMP system and report on how participants perform under difficult querying conditions.","PeriodicalId":413481,"journal":{"name":"International Conference on Information Interaction in Context","volume":"51 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":"122976535","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":"Information vs interaction: examining different interaction models over consistent metadata","authors":"Kingsley Hughes-Morgan, Max L. Wilson","doi":"10.1145/2362724.2362740","DOIUrl":"https://doi.org/10.1145/2362724.2362740","url":null,"abstract":"In the quest to develop better and more useful search systems, many novel search user interface features have been developed, such as relevance feedback, clusters, tag clouds, facets, and so on. Yet all of these novel 'interactions' have required novel forms of 'information', or metadata, to make them work. Consequently, we do not know whether users have been benefiting from better interaction or simply richer forms of metadata, or both. In this research, we aimed to show that better interaction can be provided, regardless of whether we have access to, or the ability to generate, richer forms of metadata. Using only search engine query suggestions as a consistent form of metadata, we built interface conditions for three common interaction models for search: query suggestions (our baseline), hierarchical browsing, and faceted filtering. Our results showed that, despite interacting with the same underlying metadata, users experienced significant performance gains with different forms of interaction. These findings have implications for search user interface designers, who are often working with fixed metadata or within limited budgets. Our future work will focus on complementing these findings by recreating the same interaction with different forms of metadata, such that we can then compare the performance gain separately provided by both information and interaction.","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":"129531223","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":"Preliminary experiments using subjective logic for the polyrepresentation of information needs","authors":"C. Lioma, Birger Larsen, P. Ingwersen","doi":"10.1145/2362724.2362755","DOIUrl":"https://doi.org/10.1145/2362724.2362755","url":null,"abstract":"According to the principle of polyrepresentation, retrieval accuracy may improve through the combination of multiple and diverse information object representations about e.g. the context of the user, the information sought, or the retrieval system [9, 10]. Recently, the principle of polyrepresentation was mathematically expressed using subjective logic [12], where the potential suitability of each representation for improving retrieval performance was formalised through degrees of belief and uncertainty [15]. No experimental evidence or practical application has so far validated this model.\u0000 We extend the work of Lioma et al. (2010) [15], by providing a practical application and analysis of the model. We show how to map the abstract notions of belief and uncertainty to real-life evidence drawn from a retrieval dataset. We also show how to estimate two different types of polyrepresentation assuming either (a) independence or (b) dependence between the information objects that are combined. We focus on the polyrepresentation of different types of context relating to user information needs (i.e. work task, user background knowledge, ideal answer) and show that the subjective logic model can predict their optimal combination prior and independently to the retrieval process.","PeriodicalId":413481,"journal":{"name":"International Conference on Information Interaction in Context","volume":"30 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":"128374384","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":"Exploring evaluation criteria of social navigational tools on social media: a case study of aNobii","authors":"Muh-Chyun Tang, Pei-Hang Ting, Yi-Jin Sie","doi":"10.1145/2362724.2362732","DOIUrl":"https://doi.org/10.1145/2362724.2362732","url":null,"abstract":"A user study of aNobii was conducted to compare its three book-finding tools: author search, browsing friends' bookshelves and browsing similar bookshelves. The construct of \"social navigation\" was identified as a useful theoretical framework to discuss various modes of information access on social media.\u0000 A within-subject experimental design was adopted where all forty regular aNobii users searched alternately with the three book-finding tools. Several novel evaluation measures were designed to explore the potential benefits these tools might bring to the users. Other than the self-report user experience and search result measures, the \"consideration set\" model was used as a novel framework for navigational effectiveness.\u0000 Some major findings are as follows. While the author search function was shown to be the most efficient, browsing friends' bookshelves was shown to generate more interesting and informative browsing experience. Three evaluative dimensions were derived from our study: search experience, search efficiency, and search result quality. The disagreement of these measures shows a need for a multi-faceted evaluative framework for these exploration-based navigational tools.","PeriodicalId":413481,"journal":{"name":"International Conference on Information Interaction in Context","volume":"41 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":"128547028","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 preliminary study using PageFetch to examine the searching ability of children and adults","authors":"James Purvis, L. Azzopardi","doi":"10.1145/2362724.2362770","DOIUrl":"https://doi.org/10.1145/2362724.2362770","url":null,"abstract":"Evaluating the children's information seeking behaviors and information retrieval abilities poses a number of difficult challenges for researchers to overcome. One of the main problems is engaging children to undertake search tasks so that their abilities at retrieving relevant information can be assessed. In this poster paper, we outline PageFetch, which is an Information Retrieval based game designed to engage information seekers of all ages, but particular, children, to play and thus provide valuable data to assess and compare their search abilities to other age groups. We also report the results from an initial pilot study using PageFetch where over 140 participants played approximately 1500 games.\u0000 While, previous research has shown that children do not perform as well as adults, our finding suggest that given modern search engines, children (or more specifically teenagers) are more than capable of finding specified pages - and in fact for topics that they are more likely to be interested in, they often out perform adults. Since, these findings are very preliminary, they do raise a number of questions about the quality of modern search engines and the search efficacy of younger searchers. This work motivates the undertaking of secondary and larger study that examines on a year by year basis how search skills develop and improve from childhood to adulthood.","PeriodicalId":413481,"journal":{"name":"International Conference on Information Interaction in Context","volume":"150 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":"124177681","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 file system content to organize e-mail","authors":"Maya Sappelli, S. Verberne, Wessel Kraaij","doi":"10.1145/2362724.2362777","DOIUrl":"https://doi.org/10.1145/2362724.2362777","url":null,"abstract":"This paper is about using existing directory structures on the file system as models for e-mail classification. This is motivated by the aim to reduce the effort for users to organize their information flow.\u0000 Classifiers were trained on categorized documents and tested on their performance on an unstructured set of e-mail correspondence related to the documents. Even though the documents and e-mails in our corpus belonged to the same categories, the classifiers showed very low accuracy on e-mail classification. More importantly, a learning curve experiment showed that initiating a model with documents can have a negative impact on the overall accuracy that could be achieved on e-mail classification. Features important for e-mail classification are inherently different than those important for document classification.","PeriodicalId":413481,"journal":{"name":"International Conference on Information Interaction in Context","volume":"17 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":"124311430","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":"Modelling contexts for information interaction as \"360°\" user journeys: an initial illustration with reference to pregnant women quitting smoking","authors":"Nalini Edwards, M. Colbert","doi":"10.1145/2362724.2362766","DOIUrl":"https://doi.org/10.1145/2362724.2362766","url":null,"abstract":"In this paper, we illustrate use of the \"360°\" framework and notation to model persuasive user journeys, with a view to supporting the development of multi-channel smoking cessation services, applications and information. The illustration concerns a pregnant woman attempting to quit smoking.","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":"130182228","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 children's web search in school environments","authors":"Carsten Eickhoff, P. Dekker, A. D. Vries","doi":"10.1145/2362724.2362748","DOIUrl":"https://doi.org/10.1145/2362724.2362748","url":null,"abstract":"Nowadays, the Internet represents a ubiquitous source of information and communication. Its central role in everyday life is reflected in the curricula of modern schools. Already in early grades, children are encouraged to search for information on-line. However, the way in which they interact with state-of-the-art search interfaces and how they explore and interpret the presented information, differs greatly from adult user behaviour.\u0000 This work describes a qualitative user study in which the Web search behaviour of Dutch elementary school children was observed and classified into roles motivated by prior research in cognitive science. Building on the findings of this survey, we propose an automatic method of identifying struggling searchers in order to enable teaching personnel to provide appropriate and targeted guidance where needed.","PeriodicalId":413481,"journal":{"name":"International Conference on Information Interaction in Context","volume":"51 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":"123940371","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":"Towards realistic known-item topics for the ClueWeb","authors":"C. Hauff, Matthias Hagen, Anna Beyer, Benno Stein","doi":"10.1145/2362724.2362773","DOIUrl":"https://doi.org/10.1145/2362724.2362773","url":null,"abstract":"Known-item finding is the task of re-finding and re-accessing an item previously seen. Typical examples of known items include accessed Web sites, received emails, or documents on one's personal desktop. Current research on known-item finding heavily relies on corpora of known-item queries and the respective known items. However, many existing corpora are proprietary and not available to the public (in particular those derived from Web query logs), a fact which does not allow for repeatable research. The existing publicly available corpora either contain automatically generated queries or queries that were manually generated while seeing the known item itself. Hence, we consider these public corpora to be rather artificial in nature.\u0000 In this paper, we propose a methodology to create a known-item topic set that is much more realistic and that is built on top of a large-scale public test corpus. From know-item questions posted on the popular Yahoo! Answers platform we extract queries for known-items in a crowdsourcing setup. Since we ensure that all the known-items correspond to Web pages in the publicly available ClueWeb09 corpus (a large static Web crawl), we provide an environment for repeatable realistic Web-scale known-item searches.","PeriodicalId":413481,"journal":{"name":"International Conference on Information Interaction in Context","volume":"50 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":"128313934","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}