EmSe: Supporting Children’s Information Needs within a Hospital Environment

Azzopardi, Leif; Dowie, Doug; Duarte, Sérgio; Eickhoff, Carsten; Glassey, Richard; Gyllstrom, Karl; Hiemstra, Djoerd; Jong, Franciska de; Kruisinga, Frea; Marshall, Kelly; Moens, Sien; Polajnar, Tamara; Sluis, Frans van der; Vries, Arjen P. de

doi:10.1007/978-3-642-28997-2_70

Cited by 2 publications

(3 citation statements)

References 3 publications

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“…A framework for interaction with touch interfaces has been proposed by van Dijk et al [2012]. Showcases applying this research have been shown by Azzopardi et al [2012a;Azzopardi et al [2012b;Azzopardi et al [2012c].…”

Section: Browsing Behaviormentioning

confidence: 99%

“…These observations suggest that providing complementary media related to the topics and content of knowledge websites can be highly beneficial for very young user, particularly for improving the readability of educational content. We believe that this aid can be provided in three ways: (i) providing definitions to complex words as it has been suggested in domain specific IR [Azzopardi et al 2012a]; (ii) text simplification as it is suggested by Vettori and Mich [2011] and (iii) providing related results from different resources to ease the interpretation of the information displayed by using, for instance, results from different genres that may be more familiar and engaging for children (e.g. images, sounds, games).…”

Section: Web Search Triggersmentioning

confidence: 99%

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Analysis of Search and Browsing Behavior of Young Users on the Web

2014

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The Internet is increasingly used by young children for all kinds of purposes. Nonetheless, there are not many resources especially designed for children on the Internet and most of the content online is designed for grown-up users. This situation is problematic if we consider the large differences between young users and adults since their topic interests, computer skills, and language capabilities evolve rapidly during childhood. There is little research aimed at exploring and measuring the difficulties that children encounter on the Internet when searching for information and browsing for content. In the first part of this work, we employed query logs from a commercial search engine to quantify the difficulties children of different ages encounter on the Internet and to characterize the topics that they search for. We employed query metrics (e.g., the fraction of queries posed in natural language), session metrics (e.g., the fraction of abandoned sessions), and click activity (e.g., the fraction of ad clicks). The search logs were also used to retrace stages of child development. Concretely, we looked for changes in interests (e.g., the distribution of topics searched) and language development (e.g., the readability of the content accessed and the vocabulary size). In the second part of this work, we employed toolbar logs from a commercial search engine to characterize the browsing behavior of young users, particularly to understand the activities on the Internet that trigger search. We quantified the proportion of browsing and search activity in the toolbar sessions and we estimated the likelihood of a user to carry out search on the Web vertical and multimedia verticals (i.e., videos and images) given that the previous event is another search event or a browsing event. We observed that these metrics clearly demonstrate an increased level of confusion and unsuccessful search sessions among children. We also found a clear relation between the reading level of the clicked pages and characteristics of the users such as age and educational attainment. In terms of browsing behavior, children were found to start their activities on the Internet with a search engine (instead of directly browsing content) more often than adults. We also observed a significantly larger amount of browsing activity for the case of teenager users. Interestingly we also found that if children visit knowledge-related Web sites (i.e., information-dense pages such as Wikipedia articles), they subsequently do more Web searches than adults. Additionally, children and especially teenagers were found to have a greater tendency to engage in multimedia search, which calls to improve the aggregation of multimedia results into the current search result pages.

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Section: Browsing Behaviormentioning

confidence: 99%

Section: Web Search Triggersmentioning

confidence: 99%

Analysis of Search and Browsing Behavior of Young Users on the Web

2014

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“…It is also worth mentioning other efforts from the PuppyIR European project in which some of the content filtering, query suggestion, and topic detection mentioned have been applied and presented as showcases (Azzopardi, Dowie, Duarte, et al., ; Azzopardi, Dowie, & Marshall, ; Azzopardi, Dowie, Marshall, & Glassey, ).…”

Section: Related Workmentioning

confidence: 99%

Query recommendation in the information domain of children

Torres

Hiemstra

Weber³

et al. 2014

Asso for Info Science & Tech

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Children represent an increasing part of web users. One of the key problems that hamper their search experience is their limited vocabulary, their difficulty to use the right keywords, and the inappropriateness of general-purpose query suggestions. In this work we propose a method that utilizes tags from social media to suggest queries related to children topics. Concretely we propose a simple yet effective approach to bias a random walk defined on a bipartite graph of web resources and tags through keywords that are more commonly used to describe resources for children. We evaluate our method using a large query log sample of queries submitted by children. We show that our method outperforms by a large margin the query suggestions of modern search engines and state-of-the art query suggestions based on random walks. We improve further the quality of the ranking by combining the score of the random walk with topical and language modeling features to emphasize even more the child-related aspects of the query suggestions.

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EmSe: Supporting Children’s Information Needs within a Hospital Environment

Cited by 2 publications

References 3 publications

Analysis of Search and Browsing Behavior of Young Users on the Web

Analysis of Search and Browsing Behavior of Young Users on the Web

Query recommendation in the information domain of children

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