Trust identification through cognitive correlates with emphasizing attention in cloud robotics

Khan, Wasim Ahmad; Ahmad, Fahad; Alanazi, Saad; Hasan, Tayyabah; Naseem, Shahid; Nisar, Kottakkaran Sooppy

doi:10.1016/j.eij.2022.01.003

Cited by 6 publications

(2 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This evaluation is based on the multifaceted interfaces of the social robot "Pepper" and the IBM cloud AI "Waston". Ahmad Khan et al (2022) believed that each person has a personal area that he or she does not want to share with others in social interactions. They proposed the design of a social robot based on a model based on fuzzy inference.…”

Section: Related Workmentioning

confidence: 99%

Non-empirical ISO 9241-210:2019-based usability evaluation using fuzzy inference analyser: a special issue on interactive social robots

Asemi

Tahaei

2022

LHT

View full text Add to dashboard Cite

PurposeThe objective of this research was to develop a new and highly accurate approach based on a fuzzy inference system (FIS) for the evaluation of usability based on ISO 9241-210:2019. In this study, a fully automated method of usability evaluation is used for interactive systems with a special look at interactive social robots.Design/methodology/approachFuzzy logic uses as an intelligent computing technique to deal with uncertainty and incomplete data. Here this system is implemented using MATLAB fuzzy toolbox. This system attempted to quantify four criteria that correlate highly with ISO 9241-210:2019 criteria for the evaluation of interactive systems with maximum usability. Also, the system was evaluated with standard cases of computer interactive systems usability evaluation. The system did not need to train various data and to check the rules. Just small data were used to fine-tune the fuzzy sets. The results were compared against experimental usability evaluation with the statistical analysis.FindingsIt is found that there was a high strong linear relation between the FIS usability assessment and System Usability Scale (SUS) based usability assessment, and authors’ new method provides reliable results in the estimation of the usability.Research limitations/implicationsIn human-robot systems, human performance plays an important role in the performance of social interactive systems. In the present study, the proposed system has considered all the necessary criteria for designing an interactive system with a high level of user because it is based on ISO 9241-210:2019.Practical implicationsFor future research, the system could be expanded with the training of historical data and the production of rules through integrating FIS and neural networks.Originality/valueThis system considered all essential criteria for designing an interactive system with a high level of usability because it is based on ISO 9241-210:2019. For future research, the system could be expanded with the training of historical data and the production of rules through integrating FIS and neural networks.

show abstract

Section: Related Workmentioning

confidence: 99%

Non-empirical ISO 9241-210:2019-based usability evaluation using fuzzy inference analyser: a special issue on interactive social robots

Asemi

Tahaei

2022

LHT

View full text Add to dashboard Cite

show abstract

“…Thirdly, SaaS enables consumers to access cloud service providers' applications via a web browser that runs on cloud infrastructure. As a result, end users are not required to download, install, configure, and operate software applications on their personal computing terminals [20][21][22].…”

Section: Introductionmentioning

confidence: 99%

InteliRank: A Four-Pronged Agent for the Intelligent Ranking of Cloud Services Based on End-Users’ Feedback

Din

Alshammari

Alanazi

et al. 2022

Sensors

Self Cite

View full text Add to dashboard Cite

Cloud Computing (CC) provides a combination of technologies that allows the user to use the most resources in the least amount of time and with the least amount of money. CC semantics play a critical role in ranking heterogeneous data by using the properties of different cloud services and then achieving the optimal cloud service. Regardless of the efforts made to enable simple access to this CC innovation, in the presence of various organizations delivering comparative services at varying cost and execution levels, it is far more difficult to identify the ideal cloud service based on the user’s requirements. In this research, we propose a Cloud-Services-Ranking Agent (CSRA) for analyzing cloud services using end-users’ feedback, including Platform as a Service (PaaS), Infrastructure as a Service (IaaS), and Software as a Service (SaaS), based on ontology mapping and selecting the optimal service. The proposed CSRA possesses Machine-Learning (ML) techniques for ranking cloud services using parameters such as availability, security, reliability, and cost. Here, the Quality of Web Service (QWS) dataset is used, which has seven major cloud services categories, ranked from 0–6, to extract the required persuasive features through Sequential Minimal Optimization Regression (SMOreg). The classification outcomes through SMOreg are capable and demonstrate a general accuracy of around 98.71% in identifying optimum cloud services through the identified parameters. The main advantage of SMOreg is that the amount of memory required for SMO is linear. The findings show that our improved model in terms of precision outperforms prevailing techniques such as Multilayer Perceptron (MLP) and Linear Regression (LR).

show abstract

Configuring the RegTech business model to explore implications of FinTech

Wang,

Chen

2024

Egyptian Informatics Journal

View full text Add to dashboard Cite

Trust identification through cognitive correlates with emphasizing attention in cloud robotics

Cited by 6 publications

References 21 publications

Non-empirical ISO 9241-210:2019-based usability evaluation using fuzzy inference analyser: a special issue on interactive social robots

Non-empirical ISO 9241-210:2019-based usability evaluation using fuzzy inference analyser: a special issue on interactive social robots

InteliRank: A Four-Pronged Agent for the Intelligent Ranking of Cloud Services Based on End-Users’ Feedback

Configuring the RegTech business model to explore implications of FinTech

Contact Info

Product

Resources

About