Implementing End-User Privacy through Human Computer Interaction for Improving Quality of Personalized Web


  •  Hussain Abu-Dalbouh    

Abstract

Users are exposed to an overwhelming amount of information in several application domains. There is a remarkable increase in the usage of Internet and general technology improvements. From this, it follows that there is a demand and need to create personalized web systems. Thus, personalized web systems are a good method of handling the flood of information and information overload, by helping people to surf the net and look for what they need. Unfortunately, the privacy issues that end-users face have not been taken seriously by some of these personalized web systems, as some of them apply it partially or fail to address the privacy issues in personalization. This affects the quality of the existing personalized web. The paper aims to investigate and explain the reasons behind the end-user’s fears in giving out his/her personal information on personalized websites. Then, based on the results modifying approach of personalized web through the use of Human Computer Interaction models to enhance the quality of the current personalized web. By addressing the main privacy issues in human computer interaction that helps the end-user trust the personalization web and website with his/her personal information and improve the quality of current personalized web. A survey study with 134 Internet users was conducted. The findings show that personalization plays different roles of attracting users in personalized websites. Internet users want useful personalized services, but at the same time, they are concerned with the manner in which firms use their data for personalization. If the involvement of Internet users with their current site is high, then personalized services are not attractive enough to motivate them to give their personal information.



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