000			02275nam a22001337a 4500
999			_c65918 _d65915
100			_aGopang, Rabail _a15MSSE19 _aSupervisor - Dr. Sajida Parveen soomro
245			_aIdentifying and Analysis of Cultural Markers on Pakistan Different Web in Interfaces Design
260			_aNawabshah: _bQUEST, _c2019.
300			_a44p.
500			_aABSTRACT In previous research work. Researchers have done some studies at understanding the connection among websites design and the user's culture. Subsequently we have identified few cultural markers that mark website usability, thoughtful and acceptance and complete on these outcomes. The main purpose of this research work is to be identifying and analysis of cultural markers on Pakistan's different web interfaces design. These cultural markers and sub cultural markers have been identified from literature. These identified cultural markers and sub cultural markers are analyzed into four categories websites under four provinces cultural background from users' group through usability test. Demographic questionnaire data has been done through selecting sample size of 60 candidates' students and faculty members of Quaid-e­ Awam University of Engineering, Science & Technology Nawabshah Pakistan. Experimental tasks have been completed through participants on four categories websites such as (Educational websites, E-commerce websites, Government websites and News-Media websites). After completing the experimental tasks through candidates at four categories websites than participants were asked to fill post-test questionnaire for cultural markers analysis. In which contains list of five main kinds of cultural markers and their sub cultural markers. According to post -test Questionnaires, the cultural markers results have been evaluated based on statistical analyze in chi square test. I n all categories (Education, E-commerce, Govt, News - Media) the analysis result of cultural markers of News -Media results are (low) as compare to other than three categories results. Keywords: Cultural Markers Identifications, Usability Test, Cultural Makers Analysis, statistical analyzed in chi square tool
700			_aDepartment of Information Technology
856			_uhttp://tinyurl.com/3y7dam2h
942			_cTHESIS