Impact of Individual Differences on Web Searching Performance

2011 ◽  
pp. 261-282 ◽  
Author(s):  
Allison J. Morgan ◽  
Eileen M. Trauth
Keyword(s):  
Individual Differences ◽  
Search Engine ◽  
Search Engines ◽  
Web Search ◽  
Potential Role ◽  
Web Searching ◽  
And Performance ◽  
And Behavior ◽  
Online Web

This chapter will encourage the consideration of the role of individual differences in determining Web behavior and performance, which could inform and improve the development of search engines. Currently, users of search engines may experience differences in their level of success in searching for information. This difference could be realized through search success or search strategies. However, there is currently no definitive explanation regarding the characteristics that influence differences in search engine use and behavior. This chapter will serve asan introduction to and explore the phenomena of online Web searching and the potential role of individual differences in investigating this situation. An overview of the literature will be detailed as well as issues regarding how individual differences can be incorporated into this type of research. This chapter will support the notion that individual usage and performance with Web search engines is influenced by a collection of factors, more specifically, individual differences.

Impact of Individual Differences on Web Searching Performance

2008 ◽  
pp. 754-767
Author(s):  
Allison J. Morgan ◽  
Eileen M. Trauth
Keyword(s):  
Individual Differences ◽  
Search Engine ◽  
Search Engines ◽  
Web Search ◽  
Potential Role ◽  
Web Searching ◽  
And Performance ◽  
And Behavior ◽  
Online Web

This chapter will encourage the consideration of the role of individual differences in determining Web behavior and performance, which could inform and improve the development of search engines. Currently, users of search engines may experience differences in their level of success in searching for information. This difference could be realized through search success or search strategies. However, there is currently no definitive explanation regarding the characteristics that influence differences in search engine use and behavior. This chapter will serve asan introduction to and explore the phenomena of online Web searching and the potential role of individual differences in investigating this situation. An overview of the literature will be detailed as well as issues regarding how individual differences can be incorporated into this type of research. This chapter will support the notion that individual usage and performance with Web search engines is influenced by a collection of factors, more specifically, individual differences.

Web Search Engine Architectures and their Performance Analysis

2011 ◽  
pp. 491-509
Author(s):  
Xiannong Meng
Keyword(s):  
Performance Analysis ◽  
Search Engine ◽  
Search Engines ◽  
Web Search ◽  
General Purpose ◽  
Performance Measurements ◽  
Web Documents ◽  
System Architectures ◽  
Web Search Engine ◽  
And Performance

This chapter surveys various technologies involved in a Web search engine with an emphasis on performance analysis issues. The aspects of a general-purpose search engine covered in this survey include system architectures, information retrieval theories as the basis of Web search, indexing and ranking of Web documents, relevance feedback and machine learning, personalization, and performance measurements. The objectives of the chapter are to review the theories and technologies pertaining to Web search, and help us understand how Web search engines work and how to use the search engines more effectively and efficiently.

scholarly journals Eysenbach, Tuische and Diepgen’s Evaluation of Web Searching for Identifying Unpublished Studies for Systematic Reviews: An Innovative Study Which is Still Relevant Today

2016 ◽  
Vol 11 (3) ◽  
pp. 108
Author(s):  
Simon Briscoe
Keyword(s):  
Systematic Review ◽  
Clinical Trials ◽  
Search Engine ◽  
Systematic Reviews ◽  
Search Engines ◽  
Web Search ◽  
Web Searching ◽  
Web Searches ◽  
Web Search Engine ◽  
Unpublished Studies

A Review of: Eysenbach, G., Tuische, J. & Diepgen, T.L. (2001). Evaluation of the usefulness of Internet searches to identify unpublished clinical trials for systematic reviews. Medical Informatics and the Internet in Medicine, 26(3), 203-218. http://dx.doi.org/10.1080/14639230110075459 Objective – To consider whether web searching is a useful method for identifying unpublished studies for inclusion in systematic reviews. Design – Retrospective web searches using the AltaVista search engine were conducted to identify unpublished studies – specifically, clinical trials – for systematic reviews which did not use a web search engine. Setting – The Department of Clinical Social Medicine, University of Heidelberg, Germany. Subjects – n/a Methods – Pilot testing of 11 web search engines was carried out to determine which could handle complex search queries. Pre-specified search requirements included the ability to handle Boolean and proximity operators, and truncation searching. A total of seven Cochrane systematic reviews were randomly selected from the Cochrane Library Issue 2, 1998, and their bibliographic database search strategies were adapted for the web search engine, AltaVista. Each adaptation combined search terms for the intervention, problem, and study type in the systematic review. Hints to planned, ongoing, or unpublished studies retrieved by the search engine, which were not cited in the systematic reviews, were followed up by visiting websites and contacting authors for further details when required. The authors of the systematic reviews were then contacted and asked to comment on the potential relevance of the identified studies. Main Results – Hints to 14 unpublished and potentially relevant studies, corresponding to 4 of the 7 randomly selected Cochrane systematic reviews, were identified. Out of the 14 studies, 2 were considered irrelevant to the corresponding systematic review by the systematic review authors. The relevance of a further three studies could not be clearly ascertained. This left nine studies which were considered relevant to a systematic review. In addition to this main finding, the pilot study to identify suitable search engines found that AltaVista was the only search engine able to handle the complex searches required to search for unpublished studies. Conclusion –Web searches using a search engine have the potential to identify studies for systematic reviews. Web search engines have considerable limitations which impede the identification of studies.

A Study on Web Searching

2004 ◽  
pp. 208-225
Author(s):  
Shanfeng Zhu ◽  
Xiaotie Deng ◽  
Qizhi Fang ◽  
Weimin Zhang
Keyword(s):  
Search Engine ◽  
Search Engines ◽  
Web Search ◽  
Experimental Results ◽  
Web Searching ◽  
Search Results ◽  
Total Index ◽  
Depth Study ◽  
Web Search Engines ◽  
The Web

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.

A Study on Web Searching

2008 ◽  
pp. 1926-1937
Author(s):  
Shanfeng Chu ◽  
Xiaotie Deng ◽  
Qizhi Fang ◽  
Weimin Zhang
Keyword(s):  
Search Engine ◽  
Search Engines ◽  
Web Search ◽  
Experimental Results ◽  
Web Searching ◽  
Search Results ◽  
Total Index ◽  
Depth Study ◽  
Web Search Engines ◽  
The Web

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.

Individual Differences in the Name Similarity Effect

2014 ◽  
Vol 35 (2) ◽  
pp. 111-118
Author(s):  
Daniel J. Howard ◽  
Roger A. Kerin
Keyword(s):  
Individual Differences ◽  
Impression Management ◽  
Interactive Effect ◽  
Purchase Intentions ◽  
Brand Attitude ◽  
Self Monitoring ◽  
Similarity Effect ◽  
And Behavior ◽  
Usage Context

The name similarity effect is the tendency to like people, places, and things with names similar to our own. Although many researchers have examined name similarity effects on preferences and behavior, no research to date has examined whether individual differences exist in susceptibility to those effects. This research reports the results of two experiments that examine the role of self-monitoring in moderating name similarity effects. In the first experiment, name similarity effects on brand attitude and purchase intentions were found to be stronger for respondents high, rather than low, in self-monitoring. In the second experiment, the interactive effect observed in the first study was found to be especially true in a public (vs. private) usage context. These findings are consistent with theoretical expectations of name similarity effects as an expression of egotism manifested in the image and impression management concerns of high self-monitors.

scholarly journals The Matter of Chance: Auditing Web Search Results Related to the 2020 U.S. Presidential Primary Elections Across Six Search Engines

2021 ◽  
pp. 089443932110068
Author(s):  
Aleksandra Urman ◽  
Mykola Makhortykh ◽  
Roberto Ulloa
Keyword(s):  
Search Engine ◽  
Search Engines ◽  
Large Scale ◽  
Web Search ◽  
Primary Elections ◽  
Virtual Agents ◽  
Search Results ◽  
Presidential Primary ◽  
Large Scale Analysis ◽  
Algorithmic Information

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.

Interest as the Missing Motivator in Self-Regulation

2005 ◽  
Vol 10 (3) ◽  
pp. 175-186 ◽  
Author(s):  
Carol Sansone ◽  
Dustin B. Thoman
Keyword(s):  
Individual Differences ◽  
Psychiatric Disorders ◽  
Close Relationships ◽  
Self Regulation ◽  
Goal Pursuit ◽  
Drop Out ◽  
Goal Striving ◽  
Trade Offs ◽  
And Performance

Abstract. Typically, models of self-regulation include motivation in terms of goals. Motivation is proposed to fluctuate according to how much individuals value goals and expect to attain them. Missing from these models is the motivation that arises from the process of goal-pursuit. We suggest that an important aspect of self-regulation is monitoring and regulating our motivation, not just our progress toward goals. Although we can regulate motivation by enhancing the value or expectancy of attaining the outcome, we suggest that regulating the interest experience can be just as, if not more, powerful. We first present our model, which integrates self-regulation of interest within the goal-striving process. We then briefly review existing evidence, distinguishing between two broad classes of potential interest-enhancing strategies: intrapersonal and interpersonal. For each class of strategies we note what is known about developmental and individual differences in whether and how these kinds of strategies are used. We also discuss implications, including the potential trade-offs between regulating interest and performance, and how recognizing the role of the interest experience may shed new light on earlier research in domains such as close relationships, psychiatric disorders, and females' choice to drop out of math and science.

scholarly journals The role of individual values in the behavior of using discount coupons

2021 ◽  
Vol 14 (3) ◽  
pp. 568-591
Author(s):  
Alice Chaves ◽  
Leonardo Flach ◽  
Jonatas Dutra Sallaberry
Keyword(s):  
Social Influence ◽  
Structural Equation ◽  
Equation Modeling ◽  
Individual Values ◽  
Brazilian Literature ◽  
Performance Expectation ◽  
And Performance ◽  
Facilitating Conditions ◽  
And Behavior

Purpose – The research analyzed the determinants (Performance Expectation, Expectation of Effort, Social Influence, Facilitating Conditions, Hedonic Motivation, Value and Habit) of the intention and the behavior of using online discount coupons, through UTAUT2 in the Brazilian context. Design/methodology/approach – The survey was adopted with an instrument adapted from Yang (2010) and Christino et al. (2019) validated by experts. Made available online, the instrument collected 309 responses for analysis using the structural equation modeling technique. Findings – The results validated the positive relationships for Facilitating Conditions, Hedonic Motivation, Perceived Value, Habit and Performance Expectation - the highest’s coefficients. The influence of Expectation on Effort and Social Influence has not been validated. Research limitations/implications – The results cannot be generalized to all Brazilian individuals, in addition to considering recognized determinants of international literature. For this reason, suggestions are made for continuing and deepening the research. Practical implications – The results contribute by indicating the main perceptions that lead to the intention and use of discount coupons, which are the performance expectation and the habit. Thus, managers can develop their sales strategies considering such factors while society can establish strategies to more sustainable purchases. Originality/value – The research discusses the determinants of UTAUT2 in the Brazilian context to explain the intention and behavior of using online discount coupons, which are grouped together are unprecedented in Brazilian literature.

Studying Web Search Engines from a User Perspective

2012 ◽  
pp. 411-437
Author(s):  
Stéphane Chaudiron ◽  
Madjid Ihadjadene
Keyword(s):  
Search Engines ◽  
Information Seeking ◽  
Web Search ◽  
Information Access ◽  
Modern Society ◽  
User Perspective ◽  
Web Search Engines ◽  
Political Dimensions ◽  
Concept Of Information ◽  
And Behavior

This chapter shows that the wider use of Web search engines, reconsidering the theoretical and methodological frameworks to grasp new information practices. Beginning with an overview of the recent challenges implied by the dynamic nature of the Web, this chapter then traces the information behavior related concepts in order to present the different approaches from the user perspective. The authors pay special attention to the concept of “information practice” and other related concepts such as “use”, “activity”, and “behavior” largely used in the literature but not always strictly defined. The authors provide an overview of user-oriented studies that are meaningful to understand the different contexts of use of electronic information access systems, focusing on five approaches: the system-oriented approaches, the theories of information seeking, the cognitive and psychological approaches, the management science approaches, and the marketing approaches. Future directions of work are then shaped, including social searching and the ethical, cultural, and political dimensions of Web search engines. The authors conclude considering the importance of Critical theory to better understand the role of Web Search engines in our modern society.

Sign in / Sign up

Export Citation Format

Share Document