Search (7 results, page 1 of 1)

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Abstract

This study compared the search features and retrieval performance of Yahooligans!, Ask Jeeves for Kids, and Super Snooper on identical searches. This extended the earlier research conducted by Bilal (1999), which examined the cognitive, affective, and physical behaviors of twenty-two 7th grade science students' use of Yahooligans! search engine. The three types of searches the students formulated in Yahooligans! on an imposed fact-driven query were here conducted in Ask Jeeves for Kids and Super Snooper. The retrieval performance criteria of the three engines included: (1) retrieval output, (2) relevance, (3) overlap in results, and (4) redundancy. A matrix of features (e.g., database coverage, search interface, search capabilities, retrieval interface, filtering, feedback, online help, FAQs, and advertisements) was developed to compare the engines. The performance of the natural language capability embedded in Ask Jeeves for Kids was evaluated by comparing the results retrieved directly from Yahooligans! to those Ask Jeeves for Kids returned from Yahooligans! on identical searches.The. results shed light on the strengths and weaknesses of each engine and appropriateness to specific types of queries. Yahooligans! was the most effective on keyword searching. Super Snooper returned the highest number of hits but with zero relevance on all types of searches. Ask Jeeves for Kids was successful only on one keyword search and failed both the natural language phrase and multiple keyword. Implications are made for improving the engines' design, retrieval performance, and search features, as well as for user instruction

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Abstract

Bilal, in this third part of her Yahooligans! study looks at children's performance with self-generated search tasks, as compared to previously assigned search tasks looking for differences in success, cognitive behavior, physical behavior, and task preference. Lotus ScreenCam was used to record interactions and post search interviews to record impressions. The subjects, the same 22 seventh grade children in the previous studies, generated topics of interest that were mediated with the researcher into more specific topics where necessary. Fifteen usable sessions form the basis of the study. Eleven children were successful in finding information, a rate of 73% compared to 69% in assigned research questions, and 50% in assigned fact-finding questions. Eighty-seven percent began using one or two keyword searches. Spelling was a problem. Successful children made fewer keyword searches and the number of search moves averaged 5.5 as compared to 2.4 on the research oriented task and 3.49 on the factual. Backtracking and looping were common. The self-generated task was preferred by 47% of the subjects.

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Abstract

This study employed benchmarking and intellectual relevance judgment in evaluating Google, Yahoo!, Bing, Yahoo! Kids, and Ask Kids on 30 queries that children formulated to find information for specific tasks. Retrieved hits on given queries were benchmarked to Google's and Yahoo! Kids' top-five ranked hits retrieved. Relevancy of hits was judged on a graded scale; precision was calculated using the precision-at-ten metric (P@10). Yahoo! and Bing produced a similar percentage in hit overlap with Google (nearly 30%), but differed in the ranking of hits. Ask Kids retrieved 11% in hit overlap with Google versus 3% by Yahoo! Kids. The engines retrieved 26 hits across query clusters that overlapped with Yahoo! Kids' top-five ranked hits. Precision (P) that the engines produced across the queries was P = 0.48 for relevant hits, and P = 0.28 for partially relevant hits. Precision by Ask Kids was P = 0.44 for relevant hits versus P = 0.21 by Yahoo! Kids. Bing produced the highest total precision (TP) of relevant hits (TP = 0.86) across the queries, and Yahoo! Kids yielded the lowest (TP = 0.47). Average precision (AP) of relevant hits was AP = 0.56 by leading engines versus AP = 0.29 by small engines. In contrast, average precision of partially relevant hits was AP = 0.83 by small engines versus AP = 0.33 by leading engines. Average precision of relevant hits across the engines was highest on two-word queries and lowest on one-word queries. Google performed best on natural language queries; Bing did the same (P = 0.69) on two-word queries. The findings have implications for search engine ranking algorithms, relevance theory, search engine design, research design, and information literacy.

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Abstract

We investigated the searching behaviors of twenty-four children in grades 6, 7, and 8 (ages 11-13) in finding information on three types of search tasks in Google. Children conducted 72 search sessions and issued 150 queries. Children's phrase- and question-like queries combined were much more prevalent than keyword queries (70% vs. 30%, respectively). Fifty two percent of the queries were reformulations (33 sessions). We classified children's query reformulation types into five classes based on the taxonomy by Liu et al. (2010). We found that most query reformulations were by Substitution and Specialization, and that children hardly repeated queries. We categorized children's queries by task facets and examined the way they expressed these facets in their query formulations and reformulations. Oldest children tended to target the general topic of search tasks in their queries most frequently, whereas younger children expressed one of the two facets more often. We assessed children's achieved task outcomes using the search task outcomes measure we developed. Children were mostly more successful on the fact-finding and fully self-generated task and partially successful on the research-oriented task. Query type, reformulation type, achieved task outcomes, and expressing task facets varied by task type and grade level. There was no significant effect of query length in words or of the number of queries issued on search task outcomes. The study findings have implications for human intervention, digital literacy, search task literacy, as well as for system intervention to support children's query formulation and reformulation during interaction with Google.

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Abstract

This study reports on the first part of a research project that investigated children's cognitive, affective, and physical behaviors as they use the Yahooligans! search engine to find information on a specific search task. 27 seventh-grade science children from a middle school located in Knoxville, Tennessee participated in the period. Their cognitive and physical behaviors were captured using Lotus ScreenCam, a Windows based software package that captures and replays activities recorded in Web browsers, such as Netscape. Their affective states were captured via a one-on-one exit interview. A new measure called "Web traversal measure" was developed to measure children's "weighted" traversal effectiveness and efficiency scores, as well as their quality moves in Yahooligans! Children's prior experience in using the Internet/Web and their knowledge of the Yahooligans! interface were gathered via a questionnaire. The findings provided insights into children's bahviors and success, as their weighted traversal effectiveness and efficiency scores, as well as quality moves. Implications for user training and system design are discussed

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Abstract

This study examined the success and information seeking behaviors of seventh-grade science students and graduate students in information science in using Yahooligans! Web search engine/directory. It investigated these users' cognitive, affective, and physical behaviors as they sought the answer for a fact-finding task. It analyzed and compared the overall patterns of children's and graduate students' Web activities, including searching moves, browsing moves, backtracking moves, looping moves, screen scrolling, target location and deviation moves, and the time they took to complete the task. The authors applied Bilal's Web Traversal Measure to quantify these users' effectiveness, efficiency, and quality of moves they made. Results were based on 14 children's Web sessions and nine graduate students' sessions. Both groups' Web activities were captured online using Lotus ScreenCam, a software package that records and replays online activities in Web browsers. Children's affective states were captured via exit interviews. Graduate students' affective states were extracted from the journal writings they kept during the traversal process. The study findings reveal that 89% of the graduate students found the correct answer to the search task as opposed to 50% of the children. Based on the Measure, graduate students' weighted effectiveness, efficiency, and quality of the Web moves they made were much higher than those of the children. Regardless of success and weighted scores, however, similarities and differences in information seeking were found between the two groups. Yahooligans! poor structure of keyword searching was a major factor that contributed to the "breakdowns" children and graduate students experienced. Unlike children, graduate students were able to recover from "breakdowns" quickly and effectively. Three main factors influenced these users' performance: ability to recover from "breakdowns", navigational style, and focus on task. Children and graduate students made recommendations for improving Yahooligans! interface design. Implications for Web user training and system design improvements are made.

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