Title :
Assessment metrics for intelligence level of human-computer interface
Author :
Zarka, A.E. ; Ozkul, T.
Author_Institution :
Comput. Sci. Eng. Dept., American Univ. of Sharjah, Sharjah, United Arab Emirates
Abstract :
The Quality of human computer interface is increasingly getting more important as embedded computers and mobile computing are becoming an important part of our lives. The user friendly human computer interface is what trumps the commercial success of the device. Machine intelligence quotient describes the intelligence level of machines, and this intelligence is complemented with the user interface level of intelligence. This relationship arises from the position of the interface that mediates the interaction between human and machines. The intelligent interface makes it easy for users to tell the device what they want to do. This communication between the user and the device provides insights into quantitatively assess the user interface intelligence quotient. This study investigates the user interface intelligence of several Smartphone interfaces by proposing a framework for assessing the intelligence quotient.
Keywords :
artificial intelligence; human computer interaction; mobile computing; smart phones; user interfaces; MIQ; assessment metrics; embedded computers; human computer interface quality; intelligent interface; machine intelligence level assessment metrics; machine intelligence quotient; mobile computing; smartphone interfaces; user friendly human computer interface; user interface intelligence quotient; Complexity theory; Computer interfaces; Humans; Measurement; Usability; User interfaces; Visualization; Machine Intelligence Quotient (MIQ); Mobile; Smartphones; User Interface;
Conference_Titel :
Computer Systems and Industrial Informatics (ICCSII), 2012 International Conference on
Conference_Location :
Sharjah
Print_ISBN :
978-1-4673-5155-3
DOI :
10.1109/ICCSII.2012.6454413