An Evolving Perspective to Capture Individual Differences Related to Fluid and Crystallized Abilities in Information Searching with a Search Engine

Author(s):  
Mylène Sanchiz ◽  
Franck Amadieu ◽  
Aline Chevalier
Author(s):  
Seda Ozmutlu ◽  
Huseyin C. Ozmutlu ◽  
Amanda Spink

This chapter summarizes the progress of search engine user behavior analysis from search engine transaction log analysis to estimation of user behavior. Correct estimation of user information searching behavior paves the way to more successful and even personalized search engines. However, estimation of user behavior is not a simple task. It closely relates to natural language processing and human computer interaction, and requires preliminary analysis of user behavior and careful user profiling. This chapter details the studies performed on analysis and estimation of search engine user behavior, and surveys analytical methods that have been and can be used, and the challenges and research opportunities related to search engine user behavior or transaction log query analysis and estimation.


Author(s):  
Allison J. Morgan ◽  
Eileen M. Trauth

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.


2011 ◽  
pp. 261-282 ◽  
Author(s):  
Allison J. Morgan ◽  
Eileen M. Trauth

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.


Author(s):  
Allison J. Morgan ◽  
Yuvay Meyers Ferguson ◽  
Eileen M. Trauth

Prescriptions for the successful provision of e-health information must integrate the varying needs of individuals for maintaining their personal health. Research emanating from both individual differences and health information searching literature suggests that a person's characteristics influence the pursuit of online health information. This paper addresses the factors influencing variation in health information searching strategies based on demographic differences among healthcare information consumers in the United States of America. Specifically, the authors evaluate variation in health information searching about diabetes within a population that varies by race, gender, age, socio-economic status, and education. The theory utilized in this research was the Individual Differences Theory of Gender and IT. Findings from this interpretive, qualitative study showed that differences such as race, gender, age, socio economic class, and geographic location all have an influence on searching behavior. However, it was found that these factors work together to influence behavior, rather than independently.


2018 ◽  
Vol 41 ◽  
Author(s):  
Benjamin C. Ruisch ◽  
Rajen A. Anderson ◽  
David A. Pizarro

AbstractWe argue that existing data on folk-economic beliefs (FEBs) present challenges to Boyer & Petersen's model. Specifically, the widespread individual variation in endorsement of FEBs casts doubt on the claim that humans are evolutionarily predisposed towards particular economic beliefs. Additionally, the authors' model cannot account for the systematic covariance between certain FEBs, such as those observed in distinct political ideologies.


2019 ◽  
Vol 42 ◽  
Author(s):  
Peter C. Mundy

Abstract The stereotype of people with autism as unresponsive or uninterested in other people was prominent in the 1980s. However, this view of autism has steadily given way to recognition of important individual differences in the social-emotional development of affected people and a more precise understanding of the possible role social motivation has in their early development.


2018 ◽  
Vol 41 ◽  
Author(s):  
Kevin Arceneaux

AbstractIntuitions guide decision-making, and looking to the evolutionary history of humans illuminates why some behavioral responses are more intuitive than others. Yet a place remains for cognitive processes to second-guess intuitive responses – that is, to be reflective – and individual differences abound in automatic, intuitive processing as well.


2019 ◽  
Vol 42 ◽  
Author(s):  
Emily F. Wissel ◽  
Leigh K. Smith

Abstract The target article suggests inter-individual variability is a weakness of microbiota-gut-brain (MGB) research, but we discuss why it is actually a strength. We comment on how accounting for individual differences can help researchers systematically understand the observed variance in microbiota composition, interpret null findings, and potentially improve the efficacy of therapeutic treatments in future clinical microbiome research.


1991 ◽  
Vol 22 (4) ◽  
pp. 277-277 ◽  
Author(s):  
Sharon L. Wadle

Lack of training is only an excuse for not collaborating outside of the therapy room. With our present training, speech-language clinicians have many skills to share in the regular classroom setting. This training has provided skills in task analysis, a language focus, an appreciation and awareness of individual differences in learning, and motivational techniques.


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