A Menu-Based Content Search System Based on Relationships between Mobile User Context and Information Needs

2014 ◽  
Author(s):  
Mayu Iwata ◽  
Hiroki Miyamot ◽  
Takahiro Hara ◽  
Kentaro Shimatani ◽  
Tomohiro Mashita ◽  
...  
Keyword(s):  
Information Needs ◽  
Mobile User ◽  
Search System ◽  
User Context ◽  
Content Search

A content search system considering the activity and context of a mobile user

2012 ◽  
Vol 17 (5) ◽  
pp. 1035-1050 ◽  
Author(s):  
Mayu Iwata ◽  
Hiroki Miyamoto ◽  
Takahiro Hara ◽  
Daijiro Komaki ◽  
Kentaro Shimatani ◽  
...  
Keyword(s):  
Mobile User ◽  
Search System ◽  
Content Search

A content search system for mobile devices based on user context recognition

2012 ◽  
Author(s):  
Tomohiro Mashita ◽  
Daijiro Komaki ◽  
Mayu Iwata ◽  
Kentaro Shimatani ◽  
Hiroki Miyamoto ◽  
...  
Keyword(s):  
Mobile Devices ◽  
Search System ◽  
Context Recognition ◽  
User Context ◽  
Content Search

The impact of cognitive style on the level of satisfaction and image search behavior in the textual and content search system of Google Images

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zahra Alvandi Poor ◽  
Mahdieh Mirzabeigi ◽  
Majid Nabavi
Keyword(s):  
Cognitive Style ◽  
Information Needs ◽  
Cognitive Styles ◽  
Search Behavior ◽  
Image Search ◽  
Search System ◽  
Content Type ◽  
Level Of Satisfaction ◽  
Content Search ◽  
The Impact

PurposeThe purpose of this study aims to identify the impact of verbal-visual cognitive styles on the level of satisfaction and behavior in the textual and content search of Google Images.Design/methodology/approach“Riding” cognitive style test and satisfaction questionnaire were used as data collection tools. Also, to collect data related to the image search behavior, the subjects’ transaction files were recorded using Camtasia software and then the files observed and reviewed. The research sample was 90 postgraduate students of Shiraz University.FindingsThe results showed that cognitive styles in interaction with the text-based and content-based search system of “Google Images” affected user’s satisfaction. Text-based image retrieval, in which vocabulary-based information needs were expressed, was more compatible with the verbal cognitive style and resulted in greater satisfaction. In contrast, in content-based image retrieval, where it was possible to express information needs in the form of images, users were more satisfied with the visual cognitive style. Verbal users performed more positively in text-based search and visual users in content-based search.Originality/valueConsidering the research gap, which has identified the performance of visual text-based and content-based systems in terms of satisfaction and cognitive style search behavior, the present study could be considered a small effort to promote science.

The quality of the metacommunication of the interface and search system of the CAPES Portal of e-Journals

2017 ◽  
Vol 35 (3) ◽  
pp. 398-409
Author(s):  
Gracielle Mendonça Rodrigues Gomes ◽  
Beatriz Valadares Cendon
Keyword(s):  
Information Retrieval ◽  
Digital Libraries ◽  
Information Needs ◽  
Relevant Information ◽  
Search System ◽  
Inspection Method ◽  
Content Type ◽  
Scientific Methods ◽  
Information Retrieval Systems

Purpose The study aims to propose the use of the semiotics inspection method (SIM) which is an interpretative and qualitative method from semiotics engineering (SE) for the evaluation of the communicability of systems and to evaluate digital libraries and information retrieval systems (IRS). The paper presents the results of the application of this method in the evaluation of the quality of the communicability of the interface and search system of the Coordination for the Improvement of Higher Education Personnel (CAPES) Portal of e-Journals, a major scientific digital library in Brazil. There are proposed solutions to improve this system included. Design/methodology/approach The study used the SIM to evaluate the system. Two evaluators inspected the system. They performed the comparison and the analysis of three types of metamessages (metalinguistic, static and dynamic). The metamessages generated by the evaluators were contrasted to find inconsistencies and ambiguities in the CAPES Portal of e-Journals. Finally, the last step of the method was the final assessment about the inspection. Findings The evaluators identified 52 problems of communicability. These problems were ranked according to severity ratings established by Nielsen (1994). They were grouped in ten types of problems present in the interface and in the search system of the CAPES Portal of e-Journals. Originality value This research contributes theoretically to the field of information retrieval and to the area of human–computer interaction and, in particular, to the theory of SE by adapting SE methods that allow the evaluation of communicability to the context of the scientific IRS. Results obtained through scientific methods should contribute to development of the interface and search tools of IRS to better support query formulation and retrieval of relevant information and more efficiently satisfy the information needs of individuals.

scholarly journals Context-aware resource allocation and scheduling of hybrid mobile cloud

2021 ◽  
Author(s):  
Hager M. Ghouma
Keyword(s):  
Resource Allocation ◽  
Resource Constraints ◽  
Cloud Service ◽  
Mobile User ◽  
Cloud Services ◽  
User Mobility ◽  
Context Aware ◽  
Resource Allocation Algorithm ◽  
User Context ◽  
Earliest Deadline

Cloud services can compensate for the resource constraints of mobile devices. However, challenges of utilizing the cloud service by mobile users arise from inherent characteristics such as user mobility and device energy. In this paper, we propose a scheme to monitor the energy level and communication quality as a part of a mobile user context information, and develop a resource allocation and scheduling scheme to adapt to the context changes by exploiting the slack time. The objective is to reduce the execution cost of the jobs while meeting the jobs deadlines set by the users. We developed Simulated Annealing based resource allocation algorithm and Earliest Deadline First scheduling. Simulation of our scheme using CloudSim and synthetic workload based on Google Cluster Traces shows benefits in reducing execution cost and improving resource utilization.

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