This research aims to analyze the importance and interaction amongst the usability attributes for mobile application. The usability attributes were grouped into nine (9) factors such as efficiency, effectiveness, learnability, memorability, errors, satisfaction, cognitive workload, simplicity, and interruptibility. A sum of 411 useable questionnaires form the basis of analysis. The results revealed that Errors (Mean = 3.82) was the most important usability attribute for mobile application and there was a significant correlation surrounded by satisfaction and errors, (r = .591, n = 411, p r = .553, n = 411, p r = .480, n = 411, p < .01)....

Usability measurement is tedious work, particularly for current smart mobile devices. similar to an increasing aptitude for greater user interactivity through a range of tasks and Private Universities in ammanuniversities in jordan a variety of contexts during time, the importance and impact of mobile device context-of-use components is of particular interest to researchers. PACMAD was introduced as whole usability model for mobile applications to question usability based upon usability factor; user, context of use, and task. PACMAD model identified the usability attributes without once combined low level metrics which represents each attribute. Thus, there is a obsession to be extended...

This research aims to analyze the importance and relationships in the middle of the usability attributes for mobile application. The usability attributes were grouped into nine (9) factors such as efficiency, effectiveness, learnability, memorability, errors, satisfaction, cognitive workload, simplicity, and interruptibility. A sum of 411 useable questionnaires form the basis of analysis. The results revealed that Errors (Mean = 3.82) was the most important usability attribute for mobile application and there was a significant correlation together with satisfaction and errors, (r = .591, n = 411, p r = .553, n = 411, p r = .480, n = 411,...

This research aims to analyze the importance and associations between the usability attributes for mobile application. The usability attributes were grouped into nine (9) factors such as efficiency, effectiveness, learnability, memorability, errors, satisfaction, cognitive workload, simplicity, and interruptibility. A total of 411 useable questionnaires form the basis of analysis. The results revealed that Errors (Mean = 3.82) was the most important usability attribute for mobile application and there was a significant correlation amongst satisfaction and errors, (r = .591, n = 411, p r = .553, n = 411, p r = .480, n = 411, p < .01). This...