scholarly journals Finding the (most efficient) way out of a maze is easier than asking (good) questions.

2020 ◽  
Author(s):  
Nora Swaboda ◽  
Björn Meder ◽  
Azzurra Ruggeri

We investigate whether a spatial representation of a search task supports 4- to 7-year-old children’s information-search strategies, relative to their performance in a question-asking game. In Experiment 1, children played two computationally and structurally analogous search games: a spatial search task, the maze-exploration game, in which they had to discover the path through a maze, and a verbal search task, the 20-questions game, where they had to identify a target monster from a set of eight monsters by asking yes-no questions. We found that children made more informative queries in the maze-exploration game than in the 20-questions game. Children’s performance in the 20-questions game improved with age, whereas there were no age-related differences in the spatial task. In Experiment 2, we introduced a non-verbal version of the 20-questions game, in which children had to select which features to query (e.g., color) in order to identify the target monster. We found that children performed equally well in both tasks, with no age-related performance differences. Our results demonstrate that efficient search strategies emerge much earlier than previously assumed, suggesting that young children’s difficulties in the 20-questions game are directly related to the verbal requirements of the task. These findings highlight the importance of developing age-appropriate paradigms that capture children’s early competence, in order to gain a more comprehensive picture of their emerging information-search abilities.

2006 ◽  
Author(s):  
Sara J. Czaja ◽  
Joseph Sharit ◽  
Sankaran N. Nair

Author(s):  
Maria A. Milkova

Nowadays the process of information accumulation is so rapid that the concept of the usual iterative search requires revision. Being in the world of oversaturated information in order to comprehensively cover and analyze the problem under study, it is necessary to make high demands on the search methods. An innovative approach to search should flexibly take into account the large amount of already accumulated knowledge and a priori requirements for results. The results, in turn, should immediately provide a roadmap of the direction being studied with the possibility of as much detail as possible. The approach to search based on topic modeling, the so-called topic search, allows you to take into account all these requirements and thereby streamline the nature of working with information, increase the efficiency of knowledge production, avoid cognitive biases in the perception of information, which is important both on micro and macro level. In order to demonstrate an example of applying topic search, the article considers the task of analyzing an import substitution program based on patent data. The program includes plans for 22 industries and contains more than 1,500 products and technologies for the proposed import substitution. The use of patent search based on topic modeling allows to search immediately by the blocks of a priori information – terms of industrial plans for import substitution and at the output get a selection of relevant documents for each of the industries. This approach allows not only to provide a comprehensive picture of the effectiveness of the program as a whole, but also to visually obtain more detailed information about which groups of products and technologies have been patented.


2020 ◽  
Author(s):  
Victoria Kordovski ◽  
Savanna M. Tierney ◽  
Samina Rahman ◽  
Luis D. Medina ◽  
Michelle A. Babicz ◽  
...  

Objective: Searching the Internet for health-related information is a complex and dynamic goal-oriented process that places demands on executive functions, which are higher-order cognitive abilities that are known to deteriorate with older age. This study aimed to examine the effects of older age on electronic health (eHealth) search behavior, and to determine whether executive functions played a mediating role in that regard. Method: Fifty younger adults (≤ 35 years) and 41 older adults (≥50 years) completed naturalistic eHealth search tasks involving fact-finding (Fact Search) and symptom diagnosis (Symptom Search), a neurocognitive battery, and a series of questionnaires. Results: Multiple regression models with relevant covariates revealed that older adults were slower and less accurate than younger adults on the eHealth Fact Search task, but not on the eHealth Symptom Search task. Nevertheless, executive functions mediated the relationship between older age and eHealth Fact Search and Symptom Search accuracy. Conclusions: Older adults can experience difficulty searching the Internet for some health-related information, which is at least partly attributable to executive dysfunction. Future studies are needed to determine the benefits of training in the organizational and strategic aspects of Internet search for older adults and whether these findings are applicable to clinical populations with executive dysfunction.


1998 ◽  
Vol 37 (2) ◽  
pp. 108-119 ◽  
Author(s):  
Dale Fodness ◽  
Brian Murray

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