Analysis of retrieval result on ontology-based query reformulation

2014 ◽  
Author(s):  
Azilawati Azizan ◽  
Zainab Abu Bakar ◽  
Shahrul Azman Noah
Keyword(s):  
Query Reformulation ◽  
Retrieval Result

Multimodal Retrieval using Mutual Information based Textual Query Reformulation

2017 ◽  
Vol 68 ◽  
pp. 81-92 ◽  
Author(s):  
Deepanwita Datta ◽  
Shubham Varma ◽  
Ravindranath Chowdary C. ◽  
Sanjay K. Singh
Keyword(s):  
Mutual Information ◽  
Query Reformulation ◽  
Multimodal Retrieval

The effects of cognitive load on query reformulation: mental demand, temporal demand and frustration

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kyoungsik Na
Keyword(s):  
Cognitive Load ◽  
User Interfaces ◽  
Information Search ◽  
Information Seeking ◽  
Empirical Support ◽  
Query Reformulation ◽  
Content Type ◽  
Mental Demand ◽  
Significant Difference ◽  
Nasa Tlx

PurposeThis study explores the effects of cognitive load on the propensity to reformulate queries during information seeking on the web.Design/methodology/approachThis study employs an experimental design to analyze the effect of manipulations of cognitive load on the propensity for query reformulation between experimental and control groups. In total, three affective components that contribute to cognitive load were manipulated: mental demand, temporal demand and frustration.FindingsA significant difference in the propensity of query reformulation behavior was found between searchers exposed to cognitive load manipulations and searchers who were not exposed. Those exposed to cognitive load manipulations made half as many search query reformulations as searchers not exposed. Furthermore, the National Aeronautical and Space Administration Task Load Index (NASA-TLX) cognitive load scores of searchers who were exposed to the three cognitive load manipulations were higher than those of searchers who were not exposed indicating that the manipulation was effective. Query reformulation behavior did not differ across task types.Originality/valueThe findings suggest that a dual-task method and NASA-TLX assessment serve as good indicators of cognitive load. Because the findings show that cognitive load hinders a searcher's interaction with information search tools, this study provides empirical support for reducing cognitive load when designing information systems or user interfaces.

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