Looking for the Movie Seven or Sven from the Movie Frozen?

Azpiazu, Ion Madrazo; Dragovic, Nevena; Anuyah, Oghenemaro; Pera, Maria Soledad

doi:10.1145/3176349.3176379

Cited by 24 publications

(4 citation statements)

References 27 publications

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“…As such, we constructed a dataset 2 using data from various sources, which we summarize in Table 1. This dataset includes: (i) adult queries from the TREC data [26], (ii) queries first introduced in the work conducted by Madrazo Azpiazu et al [23] (henceforth referred to as Sven), each indicating whether it was formulated by a child (ages 8 to 11) or adult, and (iii) queries formulated by children ages 7 to 11 years old, which we refer to as CAST data 3 , that resulted from several user studies conducted to examine children's search behavior [1,2,4,8,10].…”

Section: Search Query Datamentioning

confidence: 99%

“Who are you?”: Identifying Young Users from a Single Search Query

Bettencourt,

Manzi Muneza,

Green

et al. 2023

Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization

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As an initial step towards enabling the adaptation of (popular, and widely used) web search environments so that they can better serve children and ease their path towards information discovery, we introduce Recognizing Young Searchers (RYSe). RYSe leverages lexical, syntactical, spelling/punctuation, and vocabulary features that align with the Concrete Operational stage of development (originally identified by Jean Piaget) in an attempt to identify users that are in this stage. The concrete operational stage is commonly associated with children ages 7-11. Findings emerging from our initial empirical exploration using single queries formulated by children and sample queries from adults showcase the feasibility of relying on different cognitive traits inferred from the short text of a single query to distinguish those that are formulated by younger searchers.

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Section: Search Query Datamentioning

confidence: 99%

“Who are you?”: Identifying Young Users from a Single Search Query

Bettencourt,

Manzi Muneza,

Green

et al. 2023

Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization

Self Cite

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“…Children are increasingly turning to search engines to seek information on the Internet [1,2,3,4,5], but these young children (ages [6][7][8][9][10][11] are still in the process of learning literacy skills which, as argued in [6], affects how they search for and consume information. Web search for children seems like an obvious setting where an intelligent conversational agent such as a spoken dialogue system or interactive virtual agent could make the search process easier by automatically transcribing child speech into search terms (so the child doesn't have to type), performing the search, then selecting and reading aloud the information that the agent thinks that the child is searching for.…”

Section: Introductionmentioning

confidence: 99%

Conversational Agents and Children: Let Children Learn

Kennington¹,

Fails²,

Wright³

et al. 2023

Preprint

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Using online information discovery as a case study, in this position paper we discuss the need to design, develop, and deploy (conversational) agents that can -non-intrusively -guide children in their quest for online resources rather than simply finding resources for them. We argue that agents should "let children learn" and should be built to take on a teacher-facilitator function, allowing children to develop their technical and critical thinking abilities as they interact with varied technology in a broad range of use cases. 1

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“…As an attempt to ease the information seeking process, researchers and industry practitioners have designed tools tailored for children [8], some even explicitly supporting completion of school-related assignments. Notable examples include tools to aid query formulation [15], in addition to Infotopia.info, an academic search tool based on curated resources for students and teachers [9] and webforclassrooms.com, a search tool designed to enable students to locate online content that matches their needs and reading skills [17]. Still, children often turn to popular search engines (SE) like Google or Bing, which have been designed for adults [15].…”

Section: Introductionmentioning

confidence: 99%

“…Notable examples include tools to aid query formulation [15], in addition to Infotopia.info, an academic search tool based on curated resources for students and teachers [9] and webforclassrooms.com, a search tool designed to enable students to locate online content that matches their needs and reading skills [17]. Still, children often turn to popular search engines (SE) like Google or Bing, which have been designed for adults [15]. In their seminal work, Jochmann-Mannak et al [10] report on lessons learned from their study comparing performance on children's interfaces vs. Google.…”

Section: Introductionmentioning

confidence: 99%

Children's Perspective on How Emojis Help Them to Recognise Relevant Results

Aliannejadi

Landoni

Huibers

et al. 2021

Proceedings of the 2021 Conference on Human Information Interaction and Retrieval

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We discuss the exploratory study we conducted to better understand children's ability to recognise relevant results when searching in the classroom. Teachers in two European schools sharing the same language assigned their students (ages 10 and 11) an online information discovery exercise about a history topic covered in class. For this, children used a classic search interface and two novel ones enriched with emojis associated to relevant vs. irrelevant results. At the end of the exercise, children filled out a post-task questionnaire meant to elicit their perception on usability of the interfaces. Guided by four lenses, we analyse our findings and discuss whether (i) emoji-enriched interfaces lead to better performance for children using a search engine in the classroom and (ii) "actions speak louder than words" when looking at children's search experience. We learned various lessons from our examination of children's search behaviour that will guide the design of future interfaces, including the fact that emoji-enriched interfaces result in significant improvement in terms of children identifying relevant resources.

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Looking for the Movie Seven or Sven from the Movie Frozen?

Cited by 24 publications

References 27 publications

“Who are you?”: Identifying Young Users from a Single Search Query

“Who are you?”: Identifying Young Users from a Single Search Query

Conversational Agents and Children: Let Children Learn

Children's Perspective on How Emojis Help Them to Recognise Relevant Results

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