scholarly journals Aesthetics for Communicative Visualization: a Brief Review

2021 ◽  
Author(s):  
Maryam Riahi ◽  
Benjamin Watson

We present a brief and somewhat selective review of research on the applied value of aesthetics for communicative visualization. Because aesthetics research in the field of visualization is relatively new, we survey aesthetics research in closely related fields, including psychology, graphic design, and marketing. Because of space limitations, we constrain our discussion of marketing research and omit any examination of related work from human-computer interaction researchers. We conclude with implications for communicative visualization practitioners and researchers, discussing the value of aesthetics and how to achieve it, as well as the need for research on longer-term aesthetic impacts on viewers.

2005 ◽  
Author(s):  
John Neumann ◽  
Jennifer M. Ross ◽  
Peter Terrence ◽  
Mustapha Mouloua

Author(s):  
Himanshu Bansal ◽  
Rizwan Khan

The advancement in the development of computer technology has led to the idea of human computer interaction. Research experiments in human computer interaction involves the young age group of people that are educated and technically knowledgeable. This paper focuses on the mental model in Human Computer Interaction. There are various approaches of this review paper and one of them is highlighting current approach, results and the trends in the human computer interaction and the second approach is to find out the research that have been invented a long time before and are currently lagging behind. This paper also focuses on the emotional intelligence of a user to become more user like, fidelity prototyping. The development and design of an automated system that perform such task is still being accomplished.


2014 ◽  
Vol 1 (1) ◽  
pp. 127-130 ◽  
Author(s):  
Valentin Petrescu ◽  
Florian Popescu ◽  
Alina Gligor

AbstractUsing blended learning method, Blast Furnace subject was analysed inside the DidaTec Project. The analysed factors were the quality of presentation, quantity of information per page and human – computer interaction. The analysis shows the preference of students to work with different learning environments.


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