scholarly journals Can search result summaries enhance the web search efficiency and experiences of the visually impaired users?

Author(s):  
Aboubakr Aqle ◽  
Dena Al-Thani ◽  
Ali Jaoua

AbstractThere are limited studies that are addressing the challenges of visually impaired (VI) users when viewing search results on a search engine interface by using a screen reader. This study investigates the effect of providing an overview of search results to VI users. We present a novel interactive search engine interface called InteractSE to support VI users during the results exploration stage in order to improve their interactive experience and web search efficiency. An overview of the search results is generated using an unsupervised machine learning approach to present the discovered concepts via a formal concept analysis that is domain-independent. These concepts are arranged in a multi-level tree following a hierarchical order and covering all retrieved documents that share maximal features. The InteractSE interface was evaluated by 16 legally blind users and compared with the Google search engine interface for complex search tasks. The evaluation results were obtained based on both quantitative (as task completion time) and qualitative (as participants’ feedback) measures. These results are promising and indicate that InteractSE enhances the search efficiency and consequently advances user experience. Our observations and analysis of the user interactions and feedback yielded design suggestions to support VI users when exploring and interacting with search results.

2013 ◽  
Vol 8 (1) ◽  
pp. 90 ◽  
Author(s):  
R. Laval Hunsucker

A Review of: Sahib, N. G., Tombros, A., & Stockman, T. (2012). A comparative analysis of the information-seeking behavior of visually impaired and sighted searchers. Journal of the American Society for Information Science and Technology, 63(2), 377–391. doi: 10.1002/asi.21696 Objective – To determine how the behaviour of visually impaired persons significantly differs from that of sighted persons in the carrying out of complex search tasks on the internet. Design – A comparative observational user study, plus semi-structured interviews. Setting – Not specified. Subjects – 15 sighted and 15 visually impaired persons, all of them experienced and frequent Internet search engine users, of both sexes and varying in age from early twenties to mid-fifties. Methods – The subjects carried out self-selected complex search tasks on their own equipment and in their own familiar environments. The investigators observed this activity to some extent directly, but for the most part via video camera, through use of a screen-sharing facility, or with screen-capture software. They distinguished four stages of search task activity: query formulation, search results exploration, query reformulation, and search results management. The visually impaired participants, of whom 13 were totally blind and two had only marginal vision, were all working with text-to-speech screen readers and depended exclusively for all their observed activity on those applications’ auditory output. For data analysis, the investigators devised a grounded-theory-based coding scheme. They employed a search log format for deriving further quantitative data which they later controlled for statistical significance (two-tailed unpaired t-test; p < 0.05). The interviews allowed them to document, in particular, how the visually impaired subjects themselves subsequently accounted for, interpreted, and vindicated various observed aspects of their searching behaviour. Main Results – The investigators found significant differences between the sighted participants’ search behaviour and that of the visually impaired searchers. The latter displayed a clearly less “orienteering” (O'Day & Jeffries, 1993) disposition and style, more often starting out with already relatively long and comprehensive combinations of relatively precise search terms; “their queries were more expressive” (p. 386). They submitted fewer follow-up queries, and were considerably less inclined to attempt query reformulation. They were aiming to achieve a satisfactory search outcome in a single step. Nevertheless, they rarely employed advanced operators, and made far less use (in only 4 instances) of their search engine’s query-support features than did the sighted searchers (37 instances). Fewer of them (13%) ventured beyond the first page of the results returned for their query by the search engine than was the case among the sighted searchers (43%). They viewed fewer (a mean of 4.27, as opposed to 13.40) retrieved pages, and they visited fewer external links (6 visits by 4 visually impaired searchers, compared with 34 visits by 11 sighted searchers). The visually impaired participants more frequently engaged in note taking than did the sighted participants. The visually impaired searchers were in some cases, the investigators discovered, unaware of search engine facilities or searching tactics which might have improved their search outcomes. Yet even when they were aware of these, they very often chose not to employ them because doing so via their screen readers would have cost them more time and effort than they were willing to expend. In general, they were more diffident and less resourceful than the sighted searchers, and had more trust in the innate capacity and reliability of their search engine to return in an efficient manner the best available results. Conclusion – Despite certain inherent limitations of the present study (the relatively small sample sizes and the non-randomness of the purposive sighted-searcher sample, the possible presence of extraneous variables, the impossibility of entirely ruling out familiarity bias), its findings strongly support the conclusion that working with today’s search engine user interfaces through the intermediation of currently available assistive technologies necessarily imposes severe limits on the degree to which visually impaired persons can efficiently search the web for information relevant to their needs. The findings furthermore suggest that there are various measures that it would be possible to take toward alleviating the situation, in the form of further improvements to retrieval systems, to search interfaces, and to text-to-speech screen readers. Such improvements would include: • more accessible system hints to support a better, and less cognitively intensive, query formulation; • web page layouts which are more suitable to screen-reader intermediation; • a results presentation which more readily facilitates browsing and exploratory behaviour, preferably including auditory previews and overviews; • presentation formats which allow for quicker and more accurate relevance judgments; • mechanisms for (a better) monitoring of search progress. In any event, further information behaviour studies ought now to be conducted, with the specific aim of more closely informing the development of user interfaces which will offer the kind of support that visually impaired Internet searchers are most in need of. Success in this undertaking will ultimately contribute to the further empowerment of visually disabled persons and thereby facilitate efforts to combat social exclusion.


Author(s):  
Sarah Salehi ◽  
◽  
Jia DU ◽  
Helen Ashman ◽  
◽  
...  

Introduction. Most university students depend significantly, sometimes exclusively, on the Google search engine for their academic information needs. User satisfaction leads to users’ deeper engagement with an information system that is shown to improve learning in an educational setting. This paper evaluates students’ satisfaction with results from personalised Web search against non-personalised Web search. Method. During semi-structured study sessions, twenty-eight participants (university students) were required to complete a series of search tasks using both personalised and non-personalised Web search. Analysis. Evaluation was based on participants’ explicit feedback as well as their implicit behaviour including search time, number of queries and clicked result links per task, finding the answer and relevance of the search results. Results. There was no apparent significant increase in the participants’ overall level of satisfaction with personalised search results compared to non-personalised results. However, it was found that personalised search reduced the time spent to finish a task and reduced the number of clicks required to arrive at the selected outcome. Conclusions. Personalisation of search results does not increase students' satisfaction with their search results. However, it does reduce the time spent by students in locating information they judged to be satisfactory answers to their questions.


2021 ◽  
pp. 089443932110068
Author(s):  
Aleksandra Urman ◽  
Mykola Makhortykh ◽  
Roberto Ulloa

We examine how six search engines filter and rank information in relation to the queries on the U.S. 2020 presidential primary elections under the default—that is nonpersonalized—conditions. For that, we utilize an algorithmic auditing methodology that uses virtual agents to conduct large-scale analysis of algorithmic information curation in a controlled environment. Specifically, we look at the text search results for “us elections,” “donald trump,” “joe biden,” “bernie sanders” queries on Google, Baidu, Bing, DuckDuckGo, Yahoo, and Yandex, during the 2020 primaries. Our findings indicate substantial differences in the search results between search engines and multiple discrepancies within the results generated for different agents using the same search engine. It highlights that whether users see certain information is decided by chance due to the inherent randomization of search results. We also find that some search engines prioritize different categories of information sources with respect to specific candidates. These observations demonstrate that algorithmic curation of political information can create information inequalities between the search engine users even under nonpersonalized conditions. Such inequalities are particularly troubling considering that search results are highly trusted by the public and can shift the opinions of undecided voters as demonstrated by previous research.


2013 ◽  
pp. 1325-1345
Author(s):  
Andrew Boulton ◽  
Lomme Devriendt ◽  
Stanley D. Brunn ◽  
Ben Derudder ◽  
Frank Witlox

Geographers and social scientists have long been interested in ranking and classifying the cities of the world. The cutting edge of this research is characterized by a recognition of the crucial importance of information and, specifically, ICTs to cities’ positions in the current Knowledge Economy. This chapter builds on recent “cyberspace” analyses of the global urban system by arguing for, and demonstrating empirically, the value of Web search engine data as a means of understanding cities as situated within, and constituted by, flows of digital information. To this end, the authors show how the Google search engine can be used to specify a dynamic, informational classification of North American cities based on both the production and the consumption of Web information about two prominent current issues global in scope: the global financial crisis, and global climate change.


Author(s):  
Hengki Tamando Sihotang

Online information needs have evolved in the real direction. These needs include the latest information, government services, and commercial products. The research question is how to describe and optimize keyword research with the allintitle technique on the google search engine. The development method used in this research is the prototype method because it is considered able to be evaluated directly on the user. The system testing is done for 3 months by placing keywords on several websites on Google. The conclusion that can be taken is to use the allintitle technique, the search results for the web are easier to find. And this web-based allintitle technique can overcome the challenges of captcha verification from the Google search engine.   Keywords: Allintitle, Google's Search Engine, Keyword competition.


Author(s):  
Pratik C. Jambhale

Search engine optimization is a technique to take a web document in top search results of a search engine. Web presence Companies is not only an easy way to reach among the target users but it may be profitable for Business is exactly find the target users as of the reason that most of the time user search out with the keywords of their use rather than searching the Company name, and if the Company Website page come in the top positions then the page may be profitable. This work describes the tweaks of taking the page on top position in Google by increasing the Page rank which may result in the improved visibility and profitable deal for a Business. Google is most user-friendly search engine to prove for the all users which give user-oriented results. In addition ,most of other search engines use Google search patterns so we have concentrated on it. So, if a page is Register on Google it Is Display on most of the search engines.


2019 ◽  
Author(s):  
Muhammad Ilham Verardi Pradana

Thanks to the existence of Search engines, all of informations and datas could be easily found in the internet, one of the search engine that users use the most is Google. Google still be the most popular search engine to provide any informations available on the internet. The search result that Google provide, doesn't always give the result we wanted. Google just displayed the results based on the keyword we type. So sometimes, they show us the negative contents on the internet, such as pornography, pornsites, and many more that seems to be related to the keyword, whether the title or the other that makes the result going that way. In this paper, we will implement the "DNS SEHAT" to pass along client's request queries so the Google search engine on the client's side will provide more relevant search results without any negative contents.


Author(s):  
Supakpong Jinarat ◽  
Choochart Haruechaiyasak ◽  
Arnon Rungsawang

A search engine usually returns a long list of web search results corresponding to a query from the user. Users must spend a lot of time for browsing and navigating the search results for the relevant results. Many research works applied the text clustering techniques, called web search results clustering, to handle the problem. Unfortunately, search result document returned from search engine is a very short text. It is difficult to cluster related documents into the same group because a short document has low informative content. In this paper, we proposed a method to cluster the web search results with high clustering quality using graph-based clustering with concept which extract from the external knowledge source. The main idea is to expand the original search results with some related concept terms. We applied the Wikipedia as the external knowledge source for concept extraction. We compared the clustering results of our proposed method with two well-known search results clustering techniques, Suffix Tree Clustering and Lingo. The experimental results showed that our proposed method significantly outperforms over the well-known clustering techniques.


Data ◽  
2019 ◽  
Vol 4 (3) ◽  
pp. 125 ◽  
Author(s):  
Artur Strzelecki

This data descriptor describes Google search engine visibility data. The visibility of a domain name in a search engine comes from search engine optimization and can be evaluated based on four data metrics and five data dimensions. The data metrics are the following: Clicks volume (1), impressions volume (2), click-through ratio (3), and ranking position (4). Data dimensions are as follows: queries that are entered into search engines that trigger results with the researched domain name (1), page URLs from research domains which are available in the search engine results page (2), country of origin of search engine visitors (3), type of device used for the search (4), and date of the search (5). Search engine visibility data were obtained from the Google search console for the international online store, which is visible in 240 countries and territories for a period of 15 months. The data contain 123 K clicks and 4.86 M impressions for the web search and 22 K clicks and 9.07 M impressions for the image search. The proposed method for obtaining data can be applied in any other area, not only in the e-commerce industry.


Author(s):  
Shanfeng Zhu ◽  
Xiaotie Deng ◽  
Qizhi Fang ◽  
Weimin Zhang

Web search engines are one of the most popular services to help users find useful information on the Web. Although many studies have been carried out to estimate the size and overlap of the general web search engines, it may not benefit the ordinary web searching users, since they care more about the overlap of the top N (N=10, 20 or 50) search results on concrete queries, but not the overlap of the total index database. In this study, we present experimental results on the comparison of the overlap of the top N (N=10, 20 or 50) search results from AlltheWeb, Google, AltaVista and WiseNut for the 58 most popular queries, as well as for the distance of the overlapped results. These 58 queries are chosen from WordTracker service, which records the most popular queries submitted to some famous metasearch engines, such as MetaCrawler and Dogpile. We divide these 58 queries into three categories for further investigation. Through in-depth study, we observe a number of interesting results: the overlap of the top N results retrieved by different search engines is very small; the search results of the queries in different categories behave in dramatically different ways; Google, on average, has the highest overlap among these four search engines; each search engine tends to adopt a different rank algorithm independently.


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