An Activity Analysis Model for Enhancing User Experiences in Affect Aware Systems

Author(s):  
Nirmalya Thakur ◽  
Chia Y. Han
2020 ◽  
Vol 165 ◽  
pp. 06009
Author(s):  
Jie Gao

In order to meet external regulation and challenges, and improve the quality of internal economic activity analysis, this study establishes a linkage analysis system from corporate strategy to strategic objectives to financial indicators to business indicators by building 3 independent and interrelated analysis models. One of them is the model of influencing factors of change of operating efficiency index, one of them is the traceability analysis model of the sales of electricity and electricity price, and the last one is an investment performance traceability analysis model. In this study, the actual data of a unit is used as an example. With the help of big data analysis, we fully tap the value of the company’s big data, accurately locate the weak links and risk points of management. By doing this we finely promote economic activity analysis system more comprehensive, more real-time, more dynamic and more intelligent, and thus improve the efficiency of business decision-making. The practicality of economic activity analysis based on “operation, value and performance” is confirmed.


1978 ◽  
Vol 1978 (274) ◽  
pp. 131-143
Author(s):  
Kozo AMANO ◽  
Toichi KIMURA ◽  
Asao ANDO

1975 ◽  
Vol 11 (6) ◽  
pp. 783-788 ◽  
Author(s):  
A. Bruce Bishop ◽  
Bartell C. Jensen ◽  
Rangesan Narayanan

2018 ◽  
Vol 143 ◽  
pp. 105-110 ◽  
Author(s):  
Maria Francesca Cracolici ◽  
Miranda Cuffaro ◽  
Valerio Lacagnina

2019 ◽  
Vol 12 (4) ◽  
pp. 203-216 ◽  
Author(s):  
Lisa Lim ◽  
Minseok Kim ◽  
Craig M. Zimring

Visibility has a significant impact on health-related outcomes and experiences of users in healthcare settings. Built environments determine interpersonal visual relationships between users and control their ability to see (or be seen by) others. Despite this importance, metrics that fully and precisely describe these interpersonal visual relationships are lacking. In this article, we introduce the Agent Visibility Analysis Model and the SAVisualPower software, which enable person-centric visibility analysis for quantifying visual relationships both among users and between users and visual targets. The model precisely captures users’ visibility by reflecting the orientation of users and by differentiating visual contents of the users—space, other users, and targets. By providing practical examples of the new model using layouts from previous studies, this article describes specific visibility metrics that can be analyzed by the new tool and how the tool can be applied to design and research in healthcare settings for improved user experiences.


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