How do older and young adults start searching for information? Impact of age, domain knowledge and problem complexity on the different steps of information searching

Sanchiz, Mylène; Chevalier, Aline; Amadieu, Franck

doi:10.1016/j.chb.2017.02.038

Cited by 30 publications

(16 citation statements)

References 29 publications

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“…As can be seen from Table 8, looking particularly at NoClickSerp feature, the fact-finding task (𝑀 = 1.94, 𝑆𝐷 = 2) and the exploratory learning task (𝑀 = 2.2, 𝑆𝐷 = 3.72) lead to significantly fewer unlinked SERPs than the other types of task complexity. Indeed, for the fact-finding task, the answer is directly accessible on SERPs, with the first SERP therefore relevant to finding the answer [10,29,35]. Therefore, we do not observe an increase in the number of unlinked SERPs for this low-level task complexity.…”

Section: Analyzing the Effects Of Complexitymentioning

confidence: 67%

“…The task goal is well-defined and there are few subtasks which are easy to perform. Multiple paths can be led to achieve the goal and the answer is directly accessible from SERPs [35]. It is a closed task where only one answer is right.…”

Section: Protocolmentioning

confidence: 99%

“…Few paths are possible to reach a unique expected answer. Users have generally to perform several subtasks: 1) select key concepts to be integrated into a query gathering all search criterion; 2) infer new concepts that might replace irrelevant ones; 3) explore different search paths; 4) find information matching to search criterion and aggregate them to identify those that fulfill them [35]. To perform these subtasks, users have to mobilize a high number of cognitive resources allowing to reach their goal with the SERP but also to identify new and more relevant query reformulations.…”

Section: Protocolmentioning

confidence: 99%

See 2 more Smart Citations

CoST: An annotated Data Collection for Complex Search

Dosso

Moreno

Chevalier

et al. 2021

Proceedings of the 30th ACM International Conference on Information &Amp; Knowledge Management

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While great progress is made in the area of information access, there are still open issues that involve designing intelligent systems supporting task-based search. Despite the importance of task-based search, the information retrieval and information science communities still feel the lack of open-ended and annotated datasets that enable the evaluation of a number of related facets of search tasks in downstream applications. Existing datasets are either sampled from large-scale logs but provide poor annotations, or sampled from lower-scale user studies but focus on ranked list evaluation. In this work, we present CoST 1 : a novel richly annotated dataset for evaluating complex search tasks, collaboratively designed by researchers from the computer science and cognitive psychology domains, and intended to answer a wide range of research questions dealing with task-based search. CoST includes 5667 queries recorded in 630 task-based sessions that result from a user study involving 70 french native participants who are expert in one among 3 different domains of expertise (computer science, medicine, psychology). Each participant completed 15 tasks with 5 different types of cognitive complexity (fact-finding, exploratory learning, decisionmaking, problem-solving, multicriteria-inferential). In addition to search data (e.g., queries and clicks), CoST provides task and sessionrelated data, task annotations and query annotations. We illustrate possible usages of CoST through the evaluation of query classification models and the understanding of the effect of task complexity and domain on user's search behavior.

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Section: Analyzing the Effects Of Complexitymentioning

confidence: 67%

Section: Protocolmentioning

confidence: 99%

Section: Protocolmentioning

confidence: 99%

See 1 more Smart Citation

CoST: An annotated Data Collection for Complex Search

Dosso

Moreno

Chevalier

et al. 2021

Proceedings of the 30th ACM International Conference on Information &Amp; Knowledge Management

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show abstract

“…Moreover, previous studies have illustrated that the type of information searching behavior of users depends on their age (Sanchiz et al , 2017; Duarte Torres et al , 2014). Hence, adult users’ searching behavior is expected to be different from adolescents’.…”

Section: Introductionmentioning

confidence: 99%

The role of spatial intelligence in predicting web information searching behavior and performance of high school students

Naghib

Mirzabeigi

Alborzi

2020

LHT

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Purpose The purpose of this paper is to identify the role of spatial intelligence in predicting the web information searching behavior and performance of high school students. Design/methodology/approach The population of this study consisted of all female students who were studying in the eighth and ninth grades of Shiraz University School. The students searched an educational website by using keywords to find some answers to two tasks (one simple task and one complex task). Findings The findings of this study revealed that among the five components of spatial intelligence, the three components of spatial orientation, perceptual speed and flexibility of closure could better predict the web searching behavior and performance of the students. To elaborate, spatial orientation could predict the query length and the search time; perceptual speed was helpful in predicting the reformulation of the question, the number of results pages observed, the number of links viewed, and success; flexibility of closure also predicted the success in the search. Originality/value The results of this study can help researchers and others understand the searching behavior and performance of children and the cognitive factors which affect them. The results can also help teachers and school librarians to teach students the necessary skills and design interactive systems that take into account adolescents’ different cognitive approaches. While other studies have focused on adults’ and university students’ behavior, this study examined the adolescents’ behavior. Furthermore, although the previous studies have attempted to investigate just one dimension of the searching process, i.e., either behavior or performance, this study simultaneously focused on both dimensions and examined both searching behavior and performance through keyword searching strategy.

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“…In contrast to less experienced individuals, people who are experienced in searching the web for information are more successful at locating adequate sources, need less time doing so, use more elaborate strategies for their queries, and are able to flexibly reformulate the problem in order to maximise their chances of success Sanchiz et al 2017;Tabatabai and Shore 2005). As far as domain-specific knowledge is concerned, high scores on prior knowledge in the domain as well as sophisticated epistemic beliefs have a positive effect on information literacy skills (Khosrowjerdi and Iranshahi 2011;Monchaux et al 2015;Rosman et al 2016).…”

Section: Introductionmentioning

confidence: 99%

How Information Literate Are Junior and Senior Class Biology Students?

Schiffl

2018

Res Sci Educ

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Information literacy-i.e. obtaining, evaluating and using information-is a key element of scientific literacy. However, students are frequently equipped with poor information literacy skills-even at university level-as information literacy is often not explicitly taught in schools. Little is known about students' information skills in science at junior and senior class level, and about teachers' competences in dealing with information literacy in science class. This study examines the information literacy of Austrian 8th, 10th and 12th grade students. Information literacy is important for science education in Austria, because it is listed as a basic competence in Austria's science standards. Two different aspects of information literacy are examined: obtaining information and extracting information from texts. An additional research focus of this study is teachers' competences in diagnosing information skills. The results reveal that students mostly rely on online sources for obtaining information. However, they also use books and consult with people they trust. The younger the students, the more they rely on personal sources. Students' abilities to evaluate sources are poor, especially among younger students. Although teachers claim to use information research in class, their ability to assess their students' information competences is limited.

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How do older and young adults start searching for information? Impact of age, domain knowledge and problem complexity on the different steps of information searching

Cited by 30 publications

References 29 publications

CoST: An annotated Data Collection for Complex Search

CoST: An annotated Data Collection for Complex Search

The role of spatial intelligence in predicting web information searching behavior and performance of high school students

How Information Literate Are Junior and Senior Class Biology Students?

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